2026-05-03T12:46:01Zhttps://www.radar-service.eu/oai/OAIHandler10.58160/aQJwqxSYPHAyDBNz2026-04-24T07:50:01Z
10.58160/aQJwqxSYPHAyDBNz
Otte, Insa
Insa
Otte
0000-0001-9704-9668
University of Würzburg
Remote Sensing Indicators: Vegetation Cover
Predicted monthly vegetation cover calculated for the months from 06-1981 until 12-2021
University of Würzburg
2021-2024
2024
Geography
Remote Sensing
Climate Modelling
Africa
Vegetation
Open Access
Creative Commons Attribution 4.0 International
Otte, Insa
0000-0001-9704-9668
Thiel, Michael
0000-0001-8350-0841
Dech, Stefan
Paeth, Heiko
0000-0001-8145-4706
University of Würzburg
Thiel, Michael
0000-0001-8350-0841
University of Würzburg
Ziegler, Katrin
0000-0002-9152-3135
University of Würzburg
Abel, Daniel
0000-0001-9663-3248
University of Würzburg
Predicted monthly vegetation cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective vegetation cover classes 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).
en
10.58160/gGzexcbDikobkyvK
Federal Ministry of Education and Research
https://ror.org/04pz7b180
01LG2080A
Verbundprojekt WASCAL WRAP 2.0
application/x-tar