Remote Sensing Indicators: Normalized Difference Vegetation Index (NDVI)

Dataset

DOI

Predicted monthly Normalized Difference Vegetation Index (NDVI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the restrospective NDVI vaules 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).

More information can be found in the text files of the head dataset (DOI:10.58160/gGzexcbDikobkyvK, see "IsPartOf-DOI").

Identifier
DOI	https://doi.org/10.58160/QjaUaexUNxushvDa
Related Identifier	IsPartOf https://doi.org/10.58160/gGzexcbDikobkyvK
Metadata Access	https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.58160/QjaUaexUNxushvDa

Provenance
Creator	Otte, Insa
Publisher	University of Würzburg
Contributor	RADAR
Publication Year	2024
Funding Reference	Federal Ministry of Education and Research https://ror.org/04pz7b180 ROR 01LG2080A https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=01LG2080A Verbundprojekt WASCAL WRAP 2.0
Rights	Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess	true

Representation
Language	English
Resource Type	Dataset
Format	application/x-tar
Discipline	Geography; Geosciences; Geospheric Sciences; Natural Sciences
Temporal Coverage	2021-2024