Hyperspectral remote sensing data of typical vegetation along Sichuan Tibet Railway (2019)
Naming method: Date_ Vegetation types_ Location_ Data type, such as "2019"_ grassland_ Lasa_ Hyperspectral remote sensing data of UAV "represents the hyperspectral data of UAV observed in grassland area of Lhasa in 2019. Among them, "hyperspectral remote sensing data"_ "Lasa" is the original data of hyperspectral measurement carried by UAV, "GPS shooting is used to correct the GPS position points of hyperspectral images" file is the longitude and latitude information of fixed-point position captured by GPS in the hyperspectral shooting area (there are files corresponding to hyperspectral data in it), which is used for the correction of hyperspectral images; "data description" is the data description file.
How to use: convert it into reflectivity grid layer by Spectron Pro software, and then analyze it by envi software or other hyperspectral processing software.
Zhou, G., Ji, Y., Lv, X., Song, X. (2021). Hyperspectral remote sensing data of typical vegetation along Sichuan Tibet Railway (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271238. CSTR: 18406.11.Ecolo.tpdc.271238. (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.
Second Tibetan Plateau Scientific Expedition Program
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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)
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|East: 91.00||West: 90.70|
|South: 29.00||North: 29.20|
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