Remote Sensing Indicators: Plant Functional Types
收藏DataCite Commons2024-09-24 更新2026-05-07 收录
下载链接：
https://wuedata.uni-wuerzburg.de/radar/en/dataset/dbplhSwMgPrKwjCM
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资源简介：
Monthly prediction of 14 Plant Funtional Types (PFTs) in a spatial resolution of 1 x 1 km based on MODIS, AVHRR and GLC FCS30D datasets. For predicting the retrospective PFT values the STARFM algorithm was utilized in a Python environment. All available months are packed into one .zip file which can be (i) downloaded and (ii) extracted using free and open standard software (e.g. 7-zip).
提供机构：
University of Würzburg
创建时间：
2024-09-24
