Based on 2015 ESA global land cover data (ESA GlobCover, 300 m grid), combined with the tsinghua university global land cover data (FROM GLC, 30 m grid)、NASA MODIS global land cover data (MCD12Q1, 300 m grid)、the United States Geological Survey (USGS global land data (GFSAD30, 30 m)、Japanese global forest data (PALSAR/PALSAR - 2, 25 m),we build the LUC classification system in the Belt and Road’s region and the rest of the data transformation rules of the classification system.We also build the land cover classification confidence function and the rules of fusing land classification to finish the Integration and modification of land cover products and finally complet the land use data in the Belt and Road’s region V1.0(64 + 1 countries, 2015, 1 km x 1 km grid, the first level classification).
xx_datayy
xx is dx，meaning the core countries of the Belt and Road
data is luc，meaning the land cover
yy is 2015，meaning the year of 2015
XU Erqi. Land cover of core countries of the Belt and Road in 2015 (Version 1.0). National Tibetan Plateau Data Center, 2019. doi: 10.11888/Geogra.tpdc.270197. (Download the reference： RIS | Bibtex )
Using this data, you must reference article references listed in the Required Data Citation and reference data
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program
To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
License：
This work is licensed under an
Attribution 4.0 International (CC BY 4.0)
2.Statistical yearbook of Xinjiang (2006-2015)
4.Climate classification index (Koppen Geiger) in Pan-TPE (1986-2010)
7.HiWATER: Dataset of emissivity in the middle reaches of the Heihe River Basin in 2012
9.China lake dataset (1960s-2015)
10.HiWATER: Airborne CCD image data in the Shenshawo desert area of the Heihe River Basin
No record
1.HiWATER: Land cover map in the core experimental area of flux observation matrix
2.Rule-based land cover map for the Heihe River basin (2009)
3.Landuse/landcover data of the Heihe River Basin in 2000
4.HiWATER: Land cover product in the middle of the Heihe River Basin on Jun. 29, 2012
5.Landuse/landcover dataset in the middle reaches of the Heihe River Basin (2011)
6.Land use / land cover data set for the upper reaches of the Heihe River Basin (2011)
7.Landuse/landcover dataset of the Heihe river basin in the late 1980s
8.HiWATER: 1km/5day compositing Leaf Area Index (LAI) product of the Heihe River Basin (2010-2014)
Sign In to add comments
| Spatial coverage |
East: 120.00 South: 0.00 |
West: 44.00 North: 70.00 |
|---|
