Normalized Difference Vegetation Index (NDVI) is the sum of the reflectance values of the NIR band and the red band by the Difference ratio of the reflectance values of the NIR band and the red band. Vegetation index synthesis refers to the selection of the best representative of vegetation index within the appropriate synthesis cycle, and the synthesis of a vegetation index grid image with minimal influence on spatial resolution, atmospheric conditions, cloud conditions, observation geometry, and geometric accuracy and so on. This data set includes the monthly synthesis of 30m*30m surface vegetation index products in Qilian mountain area in 2021. Max value composition (MVC) method was used to synthesize monthly NDVI products on the surface using the reflectivity data of Landsat 8 and sentinel 2 channels from Red and NIR channels.

File naming and required software

File Naming Convention: NDVI_YYYYMM-N.tif (YYYY: year, MM: month, N: division number)
Data Version：V1.0
Projection：+proj=longlat +datum=WGS84 +no_defs
Data Format: GeoTIFF
Unit:None
Scale Factor:0.001
Valid Range：-1000 - 1000
Filled Value：0

Data Citations Data citation guideline What's data citation?

Cite as:

Wu, J., Li, Y., Zhong, B. (2022). Landsat-based continuous monthly 30m NDVI Dataset in Qilian mountain area in 2021 (V1.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272665. CSTR: 18406.11.Terre.tpdc.272665. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li J., et al. China-ASEAN 1 km resolution NDVI dataset. Journal of Global Change Data & Discovery 1(3), 268-277 (2017).( View Details | Bibtex)

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

Support Program

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

Copyright & License

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