Knowledge based APPs

The new CityIQ Knowledge Service integrates data on cities around the world and we have a huge city database as the basis for our CityIQ score. The amount of urban data that this database possesses is one of the largest in the world and integrates the differences in statistical standards between countries, while using advanced technologies and introducing advanced algorithms to keep data dynamic. We provide data query services: Users can view the historical scores of the cities assessed in the database and their respective sub-indicators. At the same time, the smart city evaluation can interact with the user, and the user can submit supplementary corrections for the index of a certain city. After the data review and data reliability verification, the score system can be included. The City IQ data could be shared to the people from every corner of the world freely.

From the high quality MOOC courses of Tsinghua University, the important knowledge points of these courses are extracted and presented by vivid multimedia, to improve the interest of the learners and guide learners’ deep learning.

The Planning Education sector is committed to creating the world's best knowledge sharing platform in planning education field. At current stage, it mainly focuses on the sharing function of educational videos including related areas like planning education, smart city, urbanization, smart transport, AI aided planning, etc. The platform plans to introduce the latest AI technology, embed AI language translation module to achieve initial bilingual Chinese-English translation, relying on artificial intelligence translation technology, it gradually eliminate language barriers, so that learners can access the educational resources of all languages without barriers.

Visualization Tool Kit for Big Data

Online NLP Tool

Online Query Tool for IKCEST EST Terms

In order to enhancing the computer skills of engineering trainees at home and abroad, training multi-level composite talent and promoting international development of engineering education, International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST), International Centre for Engineering Education under the Auspices of UNESCO (ICEE) and XuetangX will jointly sponsor the 2018 Special Training on International Engineering Education—Frontier Computer Knowledge Workshop.

The Songliao Basin, China is crossed by the Songhua River and Liaohe River, spans 260,000 sq.km. across three provinces of Liaoning, Jilin, and Heilongjiang and four cities-Hulun Buer League, Xing'an League, Zenith (Tongliao City) and Chifeng City of Inner Mongolia. A cold and humid forest, meadows, and grassland comprise its landscape. The flood and waterlogging disasters in Songliao Basin has high frequency and wide range characteristics, and the loss of the disaster is aggravating year by year. Based on the reconnaissance and analysis technology, the spatial information and data of administrative division, landscape, soil, traffic road, river, lake, reservoir, basin range, flood, rainstorm and typhoon are preceded and sorted in this application. MapServer is used to release Web Map Service (WMS) referring the international specifications and standards. The combination of data and MapBox tiles are used by LeafletJS to generate the GIS map view. When the app page is opened, the GIS map could be visualized as the map service. The documents and information of basic geography, hydrology and flood disaster are classified and sorted by label control. Additional links for related resources are listed in the app page.

Considering the urgent demand for the spatio-temporal distribution of drought disasters over long periods of time in the Belt and Road region, this knowledge service utilized the Tropical Rainfall Measuring Mission satellite (TRMM) precipitation data to calculate the monthly spatio-temporal distribution of drought in the Belt and Road arable area from 2001 to 2013 based on the Precipitation Abnormity Percentage drought model. This application shows the monthly spatio-temporal distribution of the drought from 2001 to 2013. MapServer is used to release Web Map Service (WMS) referring the international specifications and standards. The combination of data and MapBox tiles are used by LeafletJS to generate the GIS map view. When the app page is opened, the GIS map could be visualized as the map service. Selecting GIS data operation in the sidebar navigation, users can see the corresponding options (year and month) and click the drop-down arrow to display the year and month lists, including the years from 2001 to 2013, and the months from January to December. Additional links (e.g. Data) are listed in the app page for users to get more related resources.

To introduce the most representative major projects in contemporary China which involve energy, transportation and architecture, and so on, and the builders’ stories which display their extraordinary career skill and persistent and the excellence craftsman spirit.

China is one of the countries with the most serious natural disasters in the world. Facing sudden major natural disasters, China has taken much effective disaster relief and got rich experiences in the past several serious disasters, and received widespread attention and praise from international society. Therefore, it is necessary to collect these typical disaster relief cases and share China’s nature disaster relief experiments to the world. This knowledge application tries to collect the knowledge information about the prevention before disaster, rescue in disaster and restoration after disaster. The Wenchuan earthquake, Zhouqu debris flow, and Jiuzhaigou earthquake are selected as typical cases. Serials of data, maps, pictures, videos, papers, planning reports and other related information about these cases are integrated in the content web interfaces.

This Macroeconomic Database select many macroeconomic data indexes of all the counties along the Belt and Road in order to give reader a access to get related countries’ economic data. On the other hand, this database can also reflect those countries’ fast development in recent six years, due to the Belt and Road.

To meet the requirements of engineers and researchers in Engineering Education. They can get the latest ideas of the world's leading experts in international engineering education.

Provide Global Cultural Heritage Infomation

Technology Trends

The University Alliance of the New Silk Road is a university alliance formed by Xi'an Jiaotong University and founded on May 22, 2015, with 128 universities from 31 countries. This module provides 128 web portals of the partner universities and displays the achievements in scientific research and relative papers.

As urban planning discipline develops, the “knowledge” and “scholar” impact on the transformation, delivering and innovation raise the attention of the academia. Scholar Network focuses on the world urban planning knowledge network, regarding the regularity of knowledge and scholar elements as the aim of study. In phase 1 of Intelligent City Knowledge Service, our team finished the work of Scholar’s Network of Europe. We collected 81,988 pieces of research outputs data from 2,044 planning scholars out of 57 major European urban planning schools. Methods like data capturing, networking, visualization, semantic analysis and complex network analytical methods are adopted.

Consisted of City Data and Best Practices, the World Observatory of Cities allows you to explore cities on 26 indicators and best practices on themes of Intelligent City, Eco-city and Industrial Heritage.

Map Visualization Services of China Historical Disasters Desc: The DRR platform has published a lot of scanned maps online. Disaster maps of China are listed in the app page. User could get China historical disaster information from visualized maps which was developed based on WebGIS technology.

The global daily earthquake data is fetched via the interface of USGS. Using Leafletjs to combine the data and MapBox tiles to generate the map view. When the app page opened, the daily realtime earthquake information can be visualized in the map services.

This is to meet the requirements of students,engineers and researchers in Engineering Education. They can get the latest open online courses of the famous universities in the world, such as Tsinghua university,Stanford University, MIT and so on. Most of these courses are part of engineering disciplines.

It has collected the online courses which are the favorite of national colleges along Silk Road including energy and power engineering, Chinese culture and history, IT, management and business, materials, and life science and technology, for users in demand.

The Silk Road knowledge graph covers diverse domains from sciences to government data. Users are able to use the knowledge graph to resolve their query and assemble the information by themselves without having to navigate to other sites in a straightforward prospective.

The featured database mainly refers to the six databases collected by the SRST Knowledge Service platform. Six featured databases collect mainly the “The Belt and Road Initiatives” countries’ multidisciplinary electronic resources, including journals, conferences, patents, monographs, standards and other document types for global users.

Breaking news helps user grasp the most recent news and the hottest topic quickly. All the news is clustered to a list of topics and is represented by a word cloud. These words significantly point out the real time topics. User can also scan all the news related to Silk Road and business.

The majority organizations of disaster risk reduction have been collected and stored in the DRR platform. The data for the organization has been transferred into GeoJson format, had then been displayed on the map tiles of MapBox. User could find the organization by position on the map and get more navigation information (will be done later).

Data MORE
  • Data Resources in Europe and America

    Data Resources in Europe and America

    Information Technology Development, Disaster Prevention and Reduction, Medical Health, Manufacturing Industry, Urban Development, Environmental and Resource in Europe and America
  • EDS external library

    EDS external library

    Academic Journals, Magazines, Trade Publications, News, Books, Reviews, Reports, Conference Materials, Dissertations, Theses, Biographies, Primary Source Documents, Government Documents, Music Score, Research Starters, Electronic Resources, Non-Print Resources
  • Engineering Transactions of CAE

    Engineering Transactions of CAE

    Engineering is aimed at the provision of a high-level platform where academic achievements of great importance in engineering science and technology can be disseminated and shared.
  • Food and Food Safety

    Food and Food Safety

    It includes some frontier information, industry report, science and technology report, scientific data about food and food safety from AMIS, USDA, etc.
  • Spatio-temporal Distribution of Earthquake Disaster in the Belt and Road Area during 2000-2015

    Spatio-temporal Distribution of Earthquake Disaster in the Belt and Road Area during 2000-2015

    This dataset described the distribution of earthquake disasters in countries along the Belt and Road in 2000-2015, which mainly record the seismic location, earthquake grade, seismic wave coverage and range information. They were collected and organized by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. This dataset was composed of 371 vector files. They could be used to study the occurrence and distribution of earthquake disasters, and provided an important basis for preventing earthquake disasters and reducing the negative impact of earthquake disasters.
  • Water cover data of Mongolia with spatial resolution of 30m(1990)

    Water cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was water cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Ice cover data of Mongolia with spatial resolution of 30m(1990)

    Ice cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was ice cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Grassland cover data of Mongolia with spatial resolution of 30m(1990)

    Grassland cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was grassland cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Forest cover data of Mongolia with spatial resolution of 30m(1990)

    Forest cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was forest cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Cropland cover data of Mongolia with spatial resolution of 30m(1990)

    Cropland cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was cropland cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Built area cover data of Mongolia with spatial resolution of 30m(1990)

    Built area cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was built area cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Barren cover data of Mongolia with spatial resolution of 30m(1990)

    Barren cover data of Mongolia with spatial resolution of 30m(1990)

    This dateset was barren cover data of Mongolia, one of the subsets of Mongolian land cover dataset. It used the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015

    Estimation of Grassland Production in the Three-River Source Region Based on Remote Sensing, 2006-2015

    An accurate estimation of grassland production can provide scientific basis for informed decision-making on regional resource exploitation and socio-economic sustainable development. The dateset of grassland production in the Three-River Source Region contains information on the temporal and spatial changes of grassland production in the region from 2006 to 2015. The data sources of this dataset are measurement data, remote sensing data and auxiliary data. This dataset use MOD13Q1, MOD17A2, and MOD17A2H remote sensing data as data sources, the data resolution is 500m. With the ArcGIS software platform, data preprocessing such as projection conversion, boundary cutting was performed. The grassland production in the Three-River Source Region was estimated by statistical modeling and optimal model selection.
  • Basic national information database of Romania

    Basic national information database of Romania

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Romania includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Yemen

    Basic national information database of Yemen

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Yemen includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Poland

    Basic national information database of Poland

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Poland includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Palestine

    Basic national information database of Palestine

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Palestine includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Lebanon

    Basic national information database of Lebanon

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Lebanon includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Hungary

    Basic national information database of Hungary

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Hungary includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Estonia

    Basic national information database of Estonia

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Egypt includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Egypt

    Basic national information database of Egypt

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Egypt includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Czech Republic

    Basic national information database of Czech Republic

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Czech Republic includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of  Jordan

    Basic national information database of Jordan

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Jordan includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Southwest China's historical seismic datasets of 26AD - 2015AD

    Southwest China's historical seismic datasets of 26AD - 2015AD

    This dataset was acquired from China Earthquake Networks Center by data crawl, which described some earthquake information about time, latitude, longitude, depth, magnitude, et al. And the dataset counted the earthquake event occurred in Qinghai, Sichuan, Tibet and Yunnan from 26AD to 2015 AD, which included 8684 data in total. This dataset could help user to know the temporal and spatial distribution of earthquake occurrence, and provided strong support for some earthquake prevention and mitigation and related scientific research.
  • The dataset of restoration degree of forest vegetation in southern China

    The dataset of restoration degree of forest vegetation in southern China

    The assessment on the restoration degree of damaged and unrestored forest vegetation contributes to the management of forest resources and improve the restoration model of forest vegetation, which is of great significance for restoration of forest vegetation after disaster. The EVI data of 2008-2015 is selected as the main data sources. We used the coefficient of variation method to assess the restoration degree of damaged forest vegetation. The higher the coefficient of variation, the higher the degree of restoration of forest vegetation. This dataset can be used for research on post-disaster forest vegetation restoration.
  • The dataset of risk assessment of ice-snow disaster in southern China

    The dataset of risk assessment of ice-snow disaster in southern China

    Risk assessment of ice-snow disaster contributed to understand the probability and spatial distribution of that, which was of great significance for disaster prevention and reduction work. In this dataset, five indicator factors including daily average temperature, daily average precipitation, elevation, slope direction, and slope were selected to participate in the assessment work. The expert knowledge score method was used to determine the weights of the four indicators of precipitation, elevation, slope, and aspect. The average temperature was regarded as the most critical factor, which decided whether the area suffered from ice-snow disaster. The risk assessment value of ice-snow disaster was calculated, which was normalized. The dataset could be used for post-disaster related research.
  • Publications

    Publications

    To provide important works of engineering education at home and abroad, mainly including title, author, press, ISSN, and abstract in Chinese and English. It is helpful for experts, researchers, technicians and students in engineering colleges to understand and learn brief information of theories, research results and practical experience in engineering education.
  • The flood disaster database of Songliao basin in northeast of China

    The flood disaster database of Songliao basin in northeast of China

    Based on the reconnaissance and analysis technology, the format tables for flood disaster data of Songliao basin are preceded and sorted through data collection and analysis. The initial information had been preceded and finished with excluding irrelevant contents and leaving the relevant parameter information to meet the requirements of database. Finally, performing quality control measures have been taken, including self- checking and checking again by others. The assemble database which is after sorting is made into a file library. The disaster cases, causes and affection of flood, rainstorm,typhoon were extracted from the file library to build the flood disaster database of Songliao basin.
  • The hydrologic database of Songliao basin in northeast of China

    The hydrologic database of Songliao basin in northeast of China

    Based on the reconnaissance and analysis technology,the data set is made up of the reconnaissance and analysis results and the interpretation of remote sensing, and the spatial reference (projection and coordinate system) is Albers. The survey results images are derived and read in software ArcMap, using a variety of tools for a map, based on the scale of standard framing way of interpretation, the formation of vector data is formed into the file. Finally, the data is exported in the vector file. The hydrologic data of river, lake, reservoir and the basin range were extracted from the file library to build the hydrologic database of Songliao basin.
  • The basic geographic database of Songliao basin in northeast of China

    The basic geographic database of Songliao basin in northeast of China

    Based on the reconnaissance and analysis technology, the data set is made up of the reconnaissance and analysis results and the interpretation of remote sensing, and the spatial reference (projection and coordinate system) is Albers. The survey results images are derived and read in software ArcMap, using a variety of tools for a map, based on the scale of standard framing way of interpretation, the formation of vector data is formed into the file. Finally, the data is exported in the vector file.The data of administrative division, landscape, soil, vegetation , land use, traffic road and residential elevation were extracted from the file library to build the basic geographic database of Songliao basin.
  • Statistics of annual earthquake disaster losses in China (1990-2015)

    Statistics of annual earthquake disaster losses in China (1990-2015)

    The dataset of annual earthquake disaster losses in China plays an important role in the earthquake disaster prevention and its relief. By querying books, articles and website resources, this dataset collects the specific time, latitude and longitude, administrative region, magnitude, focal depth, the level and number of casualties, the damage level and area of houses, direct economic losses, the highest intensity, the population and area of Affected region, the damages of water conservancy facilities, the damages of education and health facilities, and the mental influence to people of 793 main annual earthquake disasters from 1990 to 2015.
  • Spatio-temporal distribution of drought in the Belt and Road Area during 1998-2015 based on TRMM precipitation data

    Spatio-temporal distribution of drought in the Belt and Road Area during 1998-2015 based on TRMM precipitation data

    The spatio-temporal distribution of drought information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. Based on the Tropical Rainfall Measurement Satellite (TRMM) 3B43 precipitation data, we used the Precipitation Abnormity Percentage drought model to study the monthly spatio-temporal distribution of drought in south region of N50° of OBOR area from 1998 to 2015.
  • The drought level database of cropland in Belt and Road Area from 2001 to 2013

    The drought level database of cropland in Belt and Road Area from 2001 to 2013

    Based on the Tropical Rainfall Measurement Satellite (TRMM) 3B43 precipitation data, we used the Precipitation Abnormity Percentage drought model to study the monthly spatio-temporal distribution of drought in south region of N50° of OBOR area from 2001 to 2013. Yearly spatio-temporal distribution from 2001 to 2013 of cropland in OBOR area was extracted based on the MODIS MCD12Q1 dataset and there were 156 monthly drought levels in the cropland region according to the overlaying of drought and agricultural land layers.
  • Land use/cover data of Mongolia with spatial resolution of 30m(2010)

    Land use/cover data of Mongolia with spatial resolution of 30m(2010)

    This dateset provides land use/cover data of Mongolia, with the spatial resolution of 30m, using the Albers projection, based on WGS-1984 geographic coordinate system. This data was interpreted on the basis of Landsat TM/etm+ remote sensing image and has 9 first classes including forest land, grassland, wet land, cultivated land, water, tundra,construction land, bare land and snow.The classfication accuracy is 82.26% and can be used for the study of land use/cover change in Mongolia, land management, planning and design of urban city.
  • Snow and ice disaster intensity across southern China in 2008

    Snow and ice disaster intensity across southern China in 2008

    The meteorological data, as the most important and significant factor in ice-snow disaster, plays an important role in the assessment of disaster intensity and disaster prediction. Based on professional software--Anusplin, the meteorological data that include day average temprature and day average precipitation are interpolated, combined with DEM data. The dataset covers ten provinces in southern China, which includes Hunan, Jiangxi, Guizhou, Chongqing, Guangxi, Guangdong, Fujian, Hubei, Anhui and Zhejiang Province. And the temporal range of this dataset is from 2008/01/10 to 2008/02/02. This dataset can be used to extract the spatial distribution of ice-frozen according to the standard from Chinese National Climate Center.
  • The diagnostic dataset of damaged vegetation restoration based on phenology information

    The diagnostic dataset of damaged vegetation restoration based on phenology information

    The diagnostic data of damaged vegetation restoration can reflect plant restoration status in time, and provide effective support for disaster recovery and reconstructions of affected vegetation. This dataset is produced by the spatial distribution of damaged vegetation and corresponding plant phenology data, which use the dynamic threshold method to monitor whether the damaged vegetation is restored or not. The dataset covers the whole of Hunan province, China, which includes 101 counties and the spatial resolution of which is 250 meters. What's more, the diagnostic result of vegetation restoration is from 2008 to 2015, the pixel value of which represents the recovery time. This dataset can be used in forest resource management and related scientific research.
  • Vegetation phenology data based on EVI time series

    Vegetation phenology data based on EVI time series

    The vegetation phenology data can reflect the plant growth status on a certain extent, which is an important tool for describing global climate change and terrestrial ecosystem responses. This dataset is produced by a professional software--TIMESAT, which runs on the Matlab environment and can extract the vegetation phenology data with vegetation indices time series. Using the method of the time series reconstructions algorithm (S-G filtering) , the enhanced vegetation index is selected as source data to various phenology data in this dataset, which covers 4 region (h27v05, h27v06, h28v05 and h28v06). The phenology can be used as vegetation growth foctor to monitor the vegetation growth condition.
  • The assessment of damaged vegetation caused by ice-snow disaster

    The assessment of damaged vegetation caused by ice-snow disaster

    The damaged degree of forest ice-snow frozen disaster contributes to reduce the loss of forest resources and forest ecosystem management, which is of great significance to the restoration of forest vegetation. This datasets are divided into two parts: the spatial distribution of damaged vegetation and evaluation on forest losses. Based on the dynamic threshold method, NDVI data is selected to extract the damaged forest caused by ice-snow disaster in 2008 and assess the forest losses. This dataset can be used to post-disaster various researches.
  • Historical earthquake data for China

    Historical earthquake data for China

    This dataset is acquired from China Earthquake Networks Center by data crawl, which describes some earthquake information about time, latitude, longitude, depth, magnitude, et al. And the dataset counts the earthquake event occurred in China from 780 BC to 2015 AD, which includes 15398 data in total. This dataset can give user the information about temporal and spatial distribution of earthquake occurrence, and provide strong support for earthquake prevention, mitigation and related scientific research.
  • Earthquake data of 1990-2015 in Qinghai - Tibet Plateau

    Earthquake data of 1990-2015 in Qinghai - Tibet Plateau

    This dataset is acquired from China Earthquake Networks Center by data crawl, which specifically describes some earthquake information about time, latitude, longitude, depth, magnitude, the disaster scope, the degree of damage, death toll et al. And the dataset counts the earthquake event occurred in Qinghai-Tibet Plateau from 1990 to 2015, which includes 161 data in total. This dataset can give users the information of temporal and spatial distribution of earthquake occurrence, provide a base data for earthquake prevention research in the area, and enrich the disaster prevention and mitigation knowledge service system data content.
  • Basic national information database of Indonesia

    Basic national information database of Indonesia

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Indonesia includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Iran

    Basic national information database of Iran

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Iran includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Iraq

    Basic national information database of Iraq

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Iraq includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Yemen

    Basic national information database of Yemen

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Yemen includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Armenia

    Basic national information database of Armenia

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Armenia includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Syria

    Basic national information database of Syria

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Syria includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Singapore

    Basic national information database of Singapore

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Singapore includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Brunei

    Basic national information database of Brunei

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Brunei includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Turkey

    Basic national information database of Turkey

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Turkey includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Sri Lanka

    Basic national information database of Sri Lanka

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Sri Lanka includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Malaysia

    Basic national information database of Malaysia

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Malaysia includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Kuwait

    Basic national information database of Kuwait

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Kuwait includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Qatar

    Basic national information database of Qatar

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Qatar includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Timor-Leste

    Basic national information database of Timor-Leste

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Timor-Leste includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Azerbaijan

    Basic national information database of Azerbaijan

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Azerbaijan includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Oman

    Basic national information database of Oman

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Oman includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Basic national information database of Afghanistan

    Basic national information database of Afghanistan

    The basic geographical national information data of countries and regions along the Belt and Road, is an important basis for disaster risk reduction. The basic geographical national information dateset of Afghanistan includes three categories, namely, basic national condition, natural resources, politics and economy. The detaial elements in the classification include geographical location, administrative division, topography, soil, climate, rivers and lakes, environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports, hospital bed density, etc.
  • Publications

    Publications

    The latest scientific and technical documents of the world's leading engineering and technical publishers
  • Open Source Software

    Open Source Software

    Converges the data real time from two open source websites of GitHub and SourceForge, and makes the classification navigation, providing convenient search of software tools for researchers and practitioners in engineering and technology fields.
  • Top College Textbooks

    Top College Textbooks

    Europe and the United States professional courses, teaching materials (including name, author, publishing house) and other data
  • Leaf Area Index (LAI): Field Measurements, Remote Sensing Estimation and Validation Studies

    Leaf Area Index (LAI): Field Measurements, Remote Sensing Estimation and Validation Studies

    Leaf area index (LAI) corresponds to one half the total green leaf area per unit horizontal ground surface area. It is one of the essential climate variables identified by the Global Climate Observing System (GCOS) and has been applied in a range of biosphere-atmosphere, biogeochemical, and ecological models as a primary biophysical and ecological parameter. This talk consists of three parts. The first part presents the LAI ground measurement methods. In the field, LAI can be estimated directly or indirectly: the direct methods measure LAI through litterfall or destructive sampling; the indirect methods estimate LAI via relationship with other more easily measurable parameters, such as canopy transmittance. The second part is about the LAI estimation from optical remote sensing technique. Current methods for estimating LAI are classified into three categories through: (1) the empirical relationship between LAI and vegetation indices; (2) inversion of canopy reflectance models; and (3) a hybrid inversion method. Following this, several major global LAI products and their spatial and temporal properties will be introduced. The last part of the presentation focuses on how to validate remote sensing LAI products. There are several validation schemes that develop uncertainty information about the global LAI products, such as the direct comparison method, the bridging method that makes comparison with upscaled high resolution products, and the cross-validation method.
  • ISCU World Data System :Trusted Data Serices for Globel Open Siences

    ISCU World Data System :Trusted Data Serices for Globel Open Siences

    Research is increasingly international, transdisciplinary, and data-enabled, which requires scrupulous data stewardship, full and open access to data. New expectations on researchers from governments and funders to share data fully, openly, and in a timely manner present significant challenges and opportunities to improve quality, efficiency and accountability to society. Researchers should be able to archive and disseminate data, and civil society to scrutinize datasets. Trustworthiness of data services must be verifiable. In addition, the need to integrate large and complex datasets across disciplines and domains with variable levels of maturity calls for better coordination to achieve interoperability and sustainability. WDS promotes long-term stewardship of, and universal and equitable access to, quality-assured scientific data. It coordinates and supports trusted scientific data services for the provision, use, and preservation of datasets to facilitate scientific research. It certifies its members—holders and providers of data—using internationally recognized standards, providing the building blocks of a searchable common infrastructure from which a data system that is both interoperable and distributed can be formed. This presentation will describe more specifically activities developed by its Scientific Committee to:(1)Improve and stimulate basic level Certification for Scientific Data Services, in particular through collaboration with the Data Seal of Approval. (2)Identify and define best practices for Publishing Data and to test implementation by involving the core stakeholders i.e. researchers, institutions, data centres, scholarly publishers, and funders.(3)Establish an open WDS Metadata Catalogue, Knowledge Network, and Global Registry of Trusted Data Services.
  • Treads and variability in atmospheric Precipitable water over the Tibetan Plateau

    Treads and variability in atmospheric Precipitable water over the Tibetan Plateau

    Trends and variability in precipitable water (PW) are an important component of climate change assessments for the Tibetan Plateau (TP). PW products from Moderate Resolution Imaging Spectroradiometer (MODIS) are able to provide good spatial coverage of PW over the TP. The trends and variations in TP PW from 2000 to 2010 are analysed using three different methods (including linear fit, non-parametric and non-linear). The trend patterns derived from MODIS and ECMWF are very similar except for the magnitude. Increasing trends are found in the eastern and western TP; with decreasing trends in the middle. To detect the decadal trend in PW over the TP, Bayesian inference theory is used to construct long-term and spatially continuous PW data for the TP based on the station and MODIS observations. The prior information on the monthly-mean PW from MODIS and the 63 stations over the TP for 2000–06 is used to get the posterior probability knowledge that is utilized to build a Bayesian estimation model. This model is then operated to estimate continuous monthly-mean PW for 1970–2011 and its performance is evaluated using the monthly MODIS PW anomalies (2007–11) and annual GPS PW anomalies (1995–2011) to demonstrate that the model estimation can reproduce the PW variability over the TP in both space and time. Annual PW series show a significant increasing trend of 0.19mmdecade21 for the TP during the 42 years. The most significant PW increase of 0.47mmdecade21 occurs for 1986–99 and an insignificant decrease occurs for 2000–11. From the comparison of the PW data from JRA-55, ERA-40, ERA-Interim, MERRA, NCEP-2, and ISCCP, it is found that none of them are able to show the actual long-term trends and variability in PW for the TP as the Bayesian estimation.
  • Socio-economic survey based impact assessment of herders’livelihood in the grasslands of Mongolia Plateau

    Socio-economic survey based impact assessment of herders’livelihood in the grasslands of Mongolia Plateau

    This presentation consists of two part: first part will brief the collaboration activities in the Mongolia Plateau, including the establishment of International Joint Research Center on Environment and Sustainable Development of Mongolian Plateau and it major collaboration progress. Second part will introduce the research progress on Socio-economic survey based impact assessment of herders’ livelihood in the grasslands of Mongolia Plateau. The second part will (1) brief the background for the survey, which is mainly due to severe eco-environment problems in the regions, eg, soil erosion, land degradation, limited water availability, extraction of mineral resources, overgrazing, and ecosystem deterioration, trade-offs between grassland ecosystem protection and economic development in the marginal lands, and increasing meat and dairy consumption and demand for land productivity. Actions taken to mitigate those problems are mainly ecosystem conservation programs, which affect herders’ living, this study aims to identify and assess these impact using socio-economic methods and approaches. (2) Designing and implementing the surveys (questionnaire survey, institutional survey): which include purposive/homogeneous sampling, determination of survey sites, sampling methods and conducting survey. (3) livelihood indicators derived from surveys and assessment: land resources, grazing patterns, income structure, consumption patterns, cost for production and grazing, and dependence on local ecosystem services. (4) Evaluation of the survey approaches applied.
  • Data sharing on Cryosphere in China

    Data sharing on Cryosphere in China

    His main research interests are remote sensing in Cryosphere and Data Sharing. He has developed two important databases: Chinese glacier inventory and glacial lake inventory in the Hindu-Kush Himalaya Region. The former has been included by GLIMS database and is also part of Randolph Glacier Inventory(RGI), which is cited by IPCC AR5. He is the key member of “Cold and Arid Regions Science Data Center at Lanzhou” which is the sub center of the earth system science data sharing platform and the regular member of World Data System. Cryosphere data(include snow, glacier and permafrost dataset), desert and desertification data, environmental and ecosystem data in inland basin can be free accessed from this data center.
  • Pattern and dynamic analysis of Northeast Asia land cover based on object-oriented classification method

    Pattern and dynamic analysis of Northeast Asia land cover based on object-oriented classification method

    Collecting Landsat TM/ETM+ images of the whole region in 1990~2000, with the support of the object-oriented platform Ecognition, this research used decision tree and nearest neighbors classifier to extract the information about the land cover pattern of Northeast Asia, as well as its dynamic change. Based on the above datasets, choosing the involved area of China-Russia treaty, the coastwise transect area of Heilongjiang river basin, transect area of the frozen soils and Wusuli river basin of cross-boundary region between China and Russia as priority areas in this study, we discussed characteristics of land cover patterns and spatial differences of changes among different countries. Besides, taking related research about land suitable assessment as reference, we selected the most sensitive, most accurate and most abundant information indices as the assessment factor, according to the principle of comprehensiveness, leading character, rank character and regional rules. Then, we combined AHP (analytic hierarchy process) and expert evaluation method to illustrate the weight of different evaluation factors. After that, we did comprehensive suitable evaluation of reserved cultivated land in Northeast Asia. Finally, this study determined the spatial patterns and quantity of general suitable zone, highly suitable zone, fairly unsuitable zone and unsuitable zone. The result of this study can provide scientific support for sound land use policy makings.
  • Ecosystem, climate and livelihood

    Ecosystem, climate and livelihood

    Ecosystem, climate and livelihood are closely related,this presentation will introduce five main topics :(1)Ecosystem, its Services and Management.(2)Evolution and Ecological Civilization.(3)Ecosystems and Sustainable Development. (4)Climate Change and ecosystems. (5)Ecosystem, Climate and Livelihood, towards a conceptual framework. Finally we will introduce Agenda 2030/SDGs,aimed at an array of issues that included slashing poverty, hunger, disease, gender inequality, and access to water and sanitation.It has 17 SD Goals/169 Targets,and is a conceptual framework of the Ecosystem, Climate and Livelihood, which to end poverty, fight inequality and injustice, and tackle climate change.
  • Global land cover mapping and change monitoring with Landsat data

    Global land cover mapping and change monitoring with Landsat data

    Introduce the first 30m resolution global land cover map – Finer Resolution Observation and Monitoring – Global Land Cover (FROM-GLC), its mapping philosophy and procedure based on Landsat and other Earth observation satellite data. Then introduce the follow up data products in the FROM family – FROM-Global Cropland, FROM – Water, FROM – Wetland, Afirca Land Cover, Chilean Land Cover,Major Cities, Regional Settlement. Some of the scientific applications based on these data products will also be presented. Lastly, we propose an international cooperation framework in support of national land cover mapping and change monitoring based on the procedural framework of FROM – GLC in collaboration with national experts from specific countries.
  • Qinghai Lake case:Databases,data analysis and applications

    Qinghai Lake case:Databases,data analysis and applications

    We will introduces the cyberinfrastructure, database and its applications in Qinghai Lake region. We have been building a cyberinfrastructure to support the protection and research in this area since 2006. We introduce the e-Science application practices supporting research on species identification, spatial distribution patterns analysis, and avian influenza virus cross-species infection by presenting their methods, implementation, and results. This is the first attempt in China to construct cyberinfrastructure to support protection and research on wild birds in plateau area. The e-Science application practices are also the first one applied in the national nature reserve in China.
  • Resources,Environmental and Economic Patterns and Sustainable Development Modes of Silk Road Economic Belt

    Resources,Environmental and Economic Patterns and Sustainable Development Modes of Silk Road Economic Belt

    The lecture summarizes the key scientific issues for the sustainable development in Silk Road Economic Belt and analyzes the distribution pattern of resources, ecological environment, society and economy, and holds that it is conducive to Silk Road countries to carry out Omni-directional and multi-level economic cooperation. Then the lecture discusses main modes and paths of sustainable economic development for Silk Road Economic Belt: Resource cooperation mode,Ecological civilization mode, Regional economic integration mode, Transportation economic belt mode, International tourism economic zone mode. Finally, the article puts forward several action projects.
  • Assessment

    Assessment

    Higher engineering education evaluation indicators system, college and professional ranking, undergraduate and graduate evaluation,etc.
  • Accreditation

    Accreditation

    Certification rules issued by national and international engineering education certification organizations, certification standards, accredited institutions and professional directories,etc.
  • Academecs trends

    Academecs trends

    The academic problems, reform, development and approaches of higher engineering education in developed and developing countries,etc.
  • Temperature data set in 1980-2010 years between China,Russia and Mongolia

    Temperature data set in 1980-2010 years between China,Russia and Mongolia

    The data set is average temperature interpolation data for China, Russian, Mongolia from 1980 to 2010, is based on the NCDC gsod global temperature data set http://www.ncdc.noaa.gov, and through spatial interpolation. The spatial resolution of the data for 1KM, a single band coverage data format, respectively. The temperature data during 1980-2010 year.
  • Precipitation data set for 1980-2010 years in China, Russia and Mongolia

    Precipitation data set for 1980-2010 years in China, Russia and Mongolia

    This data set is the average annual precipitation interpolation data of China, Russia and Mongolia 1980-2010 years, according to the NCDC gsod global precipitation data set http://www.ncdc.noaa.gov, and the spatial interpolation.
  • Surface vegetation cover data in Mongolia Plateau

    Surface vegetation cover data in Mongolia Plateau

    This data set in 1981 -1999 NDVI-PathFinder and 2000 -2012 MODIS data set based on vegetation index data set, two pixel model and vegetation index based on the data were retrieved from the data of Mongolia Plateau vegetation coverage in 1981 -2012 set. This data set provides the surface vegetation cover of 1981-2012 year in Mongolia plateau from 4-10 to 1981-2012. The overall accuracy of the data set is 75%.
  • MODIS vegetation index data of Mongolia plateau (2000-2012)

    MODIS vegetation index data of Mongolia plateau (2000-2012)

    This data set using the sinusoidal projection and 16 days of synthetic data, the spatial resolution of 250m, improve the NDVI observation of low saturation point, calculated on the basis of BRDF data, and a variety of mask processing (water, cloud, aerosol, cloud and shadow), helps to carry out the data analysis of the long-term dynamic assimilation and vegetation, and also can be used for detecting vegetation status, biological chemistry, water cycle and global and regional climate research.
  • MODIS enhanced vegetation index (2000-2012) in Mongolia Plateau

    MODIS enhanced vegetation index (2000-2012) in Mongolia Plateau

    This data set using the sinusoidal projection and 16 days of synthetic data, extraction of EVI, but also the full consideration of the atmospheric correction problems, the calculation is based on BRDF correction data, and a variety of mask processing. Compared to the NDVI EVI time series seasonal time series is more obvious, can better reflect the seasonal variation characteristics of high vegetation covered area, and there is little drop phenomenon, time series curve was smooth.
  • NDVI Vegetation time series data (1998-2012) in Mongolia Plateau

    NDVI Vegetation time series data (1998-2012) in Mongolia Plateau

    The data set provides the Mongolia plateau SPOT 10 days synthetic NDVI raster data with a resolution of 1000 meters, the coordinates of type WGS-84, projection using Albers projection.
  • Mongolia plateau land cover data (2009)

    Mongolia plateau land cover data (2009)

    The original data set is the MODIS Collection 5 data set produced by the Boston University. The data set, projection system and data format conversion of MCD12Q1 products using the MODIS reprojection tool MRT, and land_cover_type_1 data extraction layer, data classification system transformation, using resampling techniques covering raster data resolution are obtained for 500m resolution of the 2009 Mongolia plateau land. The overall accuracy of the data is about 75%, and the accuracy of different land cover types is different.
  • Mongolia plateau land cover data (2005)

    Mongolia plateau land cover data (2005)

    The original data set is the MODIS Collection 5 data set produced by the Boston University. The data set, projection system and data format conversion of MCD12Q1 products using the MODIS reprojection tool MRT, and land_cover_type_1 data extraction layer, data classification system transformation, using resampling techniques covering raster data resolution are obtained for 500m resolution of the 2005 Mongolia plateau land. The overall accuracy of the data is about 75%, and the accuracy of different land cover types is different.
  • Mongolia plateau land cover data (2001)

    Mongolia plateau land cover data (2001)

    The original data set is the MODIS Collection 5 data set produced by the Boston University. The data set, projection system and data format conversion of MCD12Q1 products using the MODIS reprojection tool MRT, and land_cover_type_1 data extraction layer, data classification system transformation, using resampling techniques covering raster data resolution are obtained for 500m resolution of the 2001 Mongolia plateau land. The overall accuracy of the data is about 75%, and the accuracy of different land cover types is different.
  • Intelligent City Events

    Intelligent City Events

    Events information on Intelligent City and Urban Planning collected from global institutes and universities.
  • Intelligent City News

    Intelligent City News

    News on Intelligent City and Urban Planning collected from major institutes' websites.
  • Data sources for multi Engineering disciplines

    Data sources for multi Engineering disciplines

    15 major engineering desciplines are picked out with 54 types of engineering data and 104 data sources. The network relationship of data flows among those 15 engineering desciplines is listed.
  • Global City Data_Social&Economy&Environment

    Global City Data_Social&Economy&Environment

    The data set is consisted of 26 indicators of 1262 global cities, indicating these cities' social, economic and environmental development.
  • Best Practices of Global Smart Cities

    Best Practices of Global Smart Cities

    Excellent cases done by cities around the world
  • 1 Month Taxi Data_NY

    1 Month Taxi Data_NY

    The yellow and green taxi trip records of New York City include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts. Time period: the whole month of January 2016.
  • Air Quality Data

    Air Quality Data

    ICity collected major Chinese cities' air quality data in the year 2016. Key indicators include AQI, PM2.5, PM10, CO, NO2, O3, etc.
  • International Engineering Sciences Symposium

    International Engineering Sciences Symposium

    Provide latest international engineering sciences symposium list
  • Global Engineering Experts

    Global Engineering Experts

    Collecting of global engineering expert information
  • Nepal basic national information database

    Nepal basic national information database

    Including Nepal based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Water Quality Data

    Water Quality Data

    ICity collected water quality data of hydrological monitoring stations along China's main water bodies since year 2004.
  • Thailand basic national information database

    Thailand basic national information database

    Including Thailand based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Kazakhstan basic national information database

    Kazakhstan basic national information database

    Including Kazakhstan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Uzbekistan basic national information database

    Uzbekistan basic national information database

    Including Uzbekistan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Turkmenistan basic national information database

    Turkmenistan basic national information database

    Including Turkmenistan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Tajikistan basic national information database

    Tajikistan basic national information database

    Including Tajikistan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • India basic national information database

    India basic national information database

    Including India based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Bangladesh basic national information database

    Bangladesh basic national information database

    Including Bangladesh based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Bhutan basic national information database

    Bhutan basic national information database

    Including Bhutan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Burma basic national information database

    Burma basic national information database

    Including Burma based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Scholar's Network in Urban Planning Discipline

    Scholar's Network in Urban Planning Discipline

    Based on 2044 scholars of Urban Planning from 289 universities around the world, ICity Center collected over 80,000 academic publications. Through Network analysis, a global network of Urban Planning scholars can be found.
  • Laos basic national information database

    Laos basic national information database

    Including the basic situation of the Lao National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Vietnam basic national information database

    Vietnam basic national information database

    Including the basic national geographic data of Vietnam. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Kampuchea basic national information database

    Kampuchea basic national information database

    Including Kampuchea based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Philippines basic national information database

    Philippines basic national information database

    Including Philippines based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Population and Environment Featured Database

    Population and Environment Featured Database

    Collecting content to population, environment and development as the core, effectively reveal the national profile for regional sustainable development research, government management decision-making and the public to provide data services.
  • Industrial Economics Featured Database

    Industrial Economics Featured Database

    Collecting the basic situation, history, organization, development and business strategy, core business, SWOT report and other basic information of the world top 500 enterprises in the last five years, so as to understand the advantages and disadvantages of well-known enterprises.
  • Polices and Regulations Featured Database

    Polices and Regulations Featured Database

    Collecting a number of technical standards on information technology, energy and power, as well as some“the Belt and Road Initiatives”counties’ national laws and regulations, political system, international relations.
  • Union Message Featured Database

    Union Message Featured Database

    The National Report helps readers to keep track of the major events in the global market and to determine the impact of the event in the short to medium term. Each National Report will conduct a comprehensive and in-depth analysis of the main events in a country or region.
  • Education of Science Featured Database

    Education of Science Featured Database

    Collecting Universities Alliance of the New Silk Road of science and technology published literature and some foreign language resources for use.
  • History and Culture Featured Database

    History and Culture Featured Database

    Collecting electronic resources related to regional political, economic, cultural, developmental strategies and political research related to“the Belt and Road Initiatives” counties.
  • Pakistan basic national information database

    Pakistan basic national information database

    Including Pakistan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Russian national information database

    Russian national information database

    Geographic data containing the Russian national conditions. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Inversion data set of Poyang Lake suspended matter concentration 2000-2013

    Inversion data set of Poyang Lake suspended matter concentration 2000-2013

    Use Poyang Lake area from 2009 to 2012 spring, summer, autumn and winter seasons continuously observed suspended solids concentration and the same period of MODIS Image product mod09a1 multi band linear regression analysis to obtain the inversion model of four seasons; based on these models, acquired Poyang Lake of suspended solids concentration from 2009 to 2012 by season . Furthermore, analyzes the Poyang Lake sexton concentrations of space-time distribution pattern and variation characteristics.
  • Dongting Lake dike 1949-2013 spatial variation data set

    Dongting Lake dike 1949-2013 spatial variation data set

    The data set use 20 county (city, district) in the Dongting Lake area as the study area, extract lake polder 2013 space distribution, and generate Lake polder spatial variation data in three different periods (1949-1998 years, from 1998 to 2008, 2008-2013)
  • 2009-2012 inversion data set of chlorophyll a concentration in Poyang Lake

    2009-2012 inversion data set of chlorophyll a concentration in Poyang Lake

    This set of data made field spectral information collection and analysis, construct the spectral index, combining with the measured data of chlorophyll a concentration, using the least squares regression analysis method to get the sensitive band interval; the semi empirical method, the experience stage has been in Poyang Lake 2009-2012 chlorophyll estimation model for a concentration using MODIS data obtained in Poyang Lake from 2009 to January 2012, April, July and October the distributions of chlorophyll a concentration data.
  • Kyrgyzstan basic national information database

    Kyrgyzstan basic national information database

    Including Kyrgyzstan based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Mongolia basic national information database

    Mongolia basic national information database

    Including Mongolia based National Geographic Data. It includes three categories: basic national conditions, natural resources and political and economic data. Detailed classification: geographical location, administrative division, topography, soil, climate, rivers, lakes and the environment, land resources, water resources, forest resources, animal resources, plant resources, energy resources, mineral resources, non-metallic mineral resources, tourism resources, language, nationality, religion, festivals, political diplomacy, economy, science and technology, education, sports ,hospital bed density, etc.
  • Conferences and seminars

    Conferences and seminars

    Higher engineering education conferences and seminars of UNESCO, IFEE, ASEE, SEFI, WFEO and AEEA,etc.
  • Policy document

    Policy document

    The policy documents about the outstanding engineers education training plan issued by the Ministry of Education, Construction and Transport,etc.
  • Research literature

    Research literature

    Dissertations from engineering colleges and Journal papers about higher engineering education from IEEE, JEE, EJEE, etc.
  • Global Governments Open Dataset

    Global Governments Open Dataset

    Governments Open Dataset from US, UK, India, Singapore, Australia
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