Vegetation cover resilience data set for countries along the Belt and Road (2000-2020)

Vegetation cover resilience data set for countries along the Belt and Road (2000-2020)


The resilience of vegetation cover in countries along the Belt and Road reflects the level of resilience of vegetation cover in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of vegetation cover in the countries along the Belt and Road. The vegetation cover status resilience data products were prepared with reference to the MODIS MOD13A3 dataset from 2000 to 2020, with a spatial resolution of 1 KM and a temporal resolution of 1 year. Using the year-by-year NDVI data of the countries along the Belt and Road from 2000 to 2020, based on the consideration of year-by-year changes, and through comprehensive diagnosis based on sensitivity and adaptability analysis, the data were prepared The resilience products of vegetation cover status were generated. The data set on the resilience of vegetation cover in countries along the Belt and Road is an important reference for analysing and comparing the current resilience of vegetation cover in each country.


File naming and required software

File naming: The vegetation cover resilience dataset is stored as ARCGIS raster data tif files and vector data shape files, and the compressed file name is "vegetation.zip".
Data reading method: The data are uncompressed into ARCGIS raster data tif and vector data shape file format, please use ARCGIS software to open them, the raster value is the vegetation cover resilience value, the MEAN field value in the shape file attribute table is the average value of vegetation cover resilience of each country.


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Cite as:

Xu, X. (2022). Vegetation cover resilience data set for countries along the Belt and Road (2000-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272282. CSTR: 18406.11.HumanNat.tpdc.272282. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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


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Keywords
Geographic coverage
East: 180.00 West: 12.09
South: -11.00 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 1km - 10km
  • File size: 112 MB
  • Views: 664
  • Downloads: 57
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-04-29
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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