This dataset includes the maximum normalized vegetation index (NDVI) data from 1982 to 2015, the maximum enhanced vegetation index (EVI) data from 2000 to 2020, and the land cover change (LUCC) data from 2001 to 2019 in the China-Mongolia-Russia Economic Corridor (CMREC). Among these, NDVI data was extracted from GIMMS satellite data with a resolution of 8 km; EVI and LUCC data were extracted from MODIS satellite data (MOD13A3 and MCD12C1) with a resolution of 1 km and 5 km, respectively. The dataset filters the outliers or missing values in the original data, which is of higher quality than the source data. Meanwhile, we adopted the maximum value composite (MVC) method to process NDVI and EVI data to obtain the annual maximum NDVI and EVI, which can better reflect the vegetation distribution and change in CMREC over the past several decades. The spatio-temporal changes of vegetation and land use extracted from satellite remote sensing data will provide scientifical guidance for the risk control and prevention of the ecological environment change in CMREC.

File naming and required software

Title：Spatial and temporal evolution pattern of ecological environment in the China-Mongolia-Russia Economic Corridor In .raster format（TIFF）, can be opened and analysed in ArcGIS software.

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Cite as:

Zhang, X. (2022). Spatial and temporal evolution pattern of ecological environment in the China-Mongolia-Russia Economic Corridor (1982-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272318. CSTR: 18406.11.HumanNat.tpdc.272318. (Download the reference： RIS | Bibtex )

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References literature

1.Li, X., Zhang, X.Q., & Xu, X.M. (2021). Precipitation and anthropogenic activities jointly green the China-Mongolia-Russia Economic Corridor. Remote Sensing. (View Details )

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)