NDVI is a very important vegetation index for the research of vegetation growth and land cover classification. This dataset provides the monthly normalized differential vegetation index (NDVI) of UAV remote sensing with a spatial resolution of 0.2 m from June to October in 2020. It was measured in the midstream of Heihe River Basin over typical stations. The Pix4D mapper software was used for image mosaic and NDVI calculation.

File naming and required software

File Naming Convention: YYYYMMDD_XX.tiff (YYYY: year, MM: month, DD: day, XX: station name, including DM – Daman superstation, SD – Zhangye wetland station, and HZ – Huazhaizi station)
The data are all GeoTIFF files, so it is recommended to open them with ArcGIS software for corresponding processing

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, S., Zhou, J., Jin, Z., Wang, Z. (2021). NDVI Dataset of Typical Stations in Midstream of Heihe River Basin Based on UAV Remote Sensing (2020, V1). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271347. CSTR: 18406.11.Ecolo.tpdc.271347. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, M., Zhou, J., Peng, Z., Liu, S., Göttsche, F. M., Zhang, X., & Song, L. (2019). Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature. Agricultural and Forest Meteorology, 276, 107600.( 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)