The dataset is the Landsat normalized difference vegetation index (NDVI) products from 1980s to 2019 over the Tibetan Plateau。The dataset is producted based on Landsat surface reflectance dataset. It is calculated by the NDVI equation which defined the difference between NIR band and red band.And the corresponding production of quality identification documents (QA) is also generated to identify the cloud, ice and snow. The NDVI can indicate the health of vegetation and the growth of vegetation,it is thusly widely used in agriculture, forestry, ecological environment and other fields. It is also an important input parameter for the inversion of ecological physical parameters, and is one of the most widely used vegetation indexes.

File naming and required software

1)File name rules: the NDVI result of each scense is stored in a floder including the NDVI bands, QA bands, metadata, and browser; the named rule of a folder is presented as "satellite- sensor-path-row-imaging date-LSR-BRDF-NDVI",for example, L5-TM-115-026-19840418-LSR-BRDF-NDVI;the NDVI is stored as GeoTIFF format and its named rule is presented as "satellite- sensor-path-row-imaging date-LSR-BRDF-NDVI.TIF", for example, "L5-TM-115-026-19840418-LSR-BRDF-NDVI.TIF". 2)How to use the dataset:the NDVI results can be opened by ArcGIS, envi, QGIS and so on, the NDVI results are multiplied 10000 to become16 bit integer from the original floating-point type in the range of 0 ~ 1 , so it needs to be mutiplied 0.0001 when used, and the background filling value is -9999, and the "LZW" lossless compression is carried out.

Data Citations Data citation guideline What's data citation?

Cite as:

Peng, Y. (2021). Landsat normalized difference vegetation index (NDVI) products over the Tibetan Plateau (1980s-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271725. CSTR: 18406.11.Ecolo.tpdc.271725. (Download the reference： RIS | Bibtex )

Related Literatures:

1. DEERING, D.W. (1978). Rangeland reflectance characteristics measured by aircraft and spacecraft sensors. Texas A&M University, College Station, TX, 338.( 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

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

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