Home About the project People Data Contact

Open Data Resources

Data use policy

Use of this data is for non-profit, personal, or educational use only. To publish this data or apply it in other for-profit endeavours, please contact Dr. Jiquan Chen for information. For help interpreting the data, contact the author listed. Information provided here does not conflict with our committment to confidentiality or expose personal information from survey participants.

Data Type Variable Format Resolution Time Scale Download Link
Climate Data Precipitation, Temperature,
wind speed, radiation,
coordinate, etc.
shp/txt/xls/csv, etc. Hourly-daily Long-term historic records Download
Land classification Land cover raster 30-1000 m 1970s- Download
Soil map Type/depth/texture/bulk
density
raster Download
DEM SRTM raster 30 m Download
AW3D DEM raster 0.5 m Not Avaliable
Lidar point cloud Building structure Not Avaliable
3D Vector 3D map building shp/tab Not avaliable
Basic GIS data River/Road/Lake/
residential sites/ administrative boundary
shp Download
Topographic map Digital/Hardcopy 1:50,000/1:10,000 Not Avaliable
Image data MODIS Raster more than 250-1000 m 2000- Download
Landsat Raster 30 m 1970s- Download
SPOT Raster 2.5 m 2002- Not Avaliable
QuickBird Raster 2.4 m 2001-2015 Not Avaliable
WorldView Raster 2 m 2007 Not Avaliable
Landsat Raster 30 m 1970s- Download SPOT Raster 2.5 m 2002- Not Available QuickBird Raster 2.4 m 2001-2015 Not Available WorldView Raster 2 m 2007 Not Available
X

Climate Data

Climate is the statistics of weather over long periods of time.[1][2] It is measured by assessing the patterns of variation in temperature, humidity, atmospheric pressure, wind, precipitation, atmospheric particle count and other meteorological variables in a given region over long periods of time. Climate differs from weather, in that weather only describes the short-term conditions of these variables in a given region. A region's climate is generated by the climate system, which has five components: atmosphere, hydrosphere, cryosphere, lithosphere, and biosphere.[3] The climate of a location is affected by its latitude, terrain, and altitude, as well as nearby water bodies and their currents. Climates can be classified according to the average and the typical ranges of different variables, most commonly temperature and precipitation. The most commonly used classification scheme was the Köppen climate classification. The Thornthwaite system,[4] in use since 1948, incorporates evapotranspiration along with temperature and precipitation information and is used in studying biological diversity and how climate change

Below leave your comment about the data


Download the Data Submit