Monthly leaf area index generated using Sentinel-2 for Europe, in 2020

DOI

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2020 at the European scale, applying an enhanced vegetation index (EVI)-based model as an empirical approach. Further, the LAI products were resampled to 1Km to be applied as an input for estimating Net Primary Productivity using the LPJ-GUESS model as the deliverable for the EO4Diversity project funded by the European Space Agency (ESA).

Date: 01-2020

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Date: 12-2020

Date Submitted: 2023-04-06

Identifier
DOI https://doi.org/10.17026/dans-xxs-59hu
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xxs-59hu
Provenance
Creator E Neinavaz ORCID logo
Publisher DANS Data Station Life Sciences
Contributor M Th Koelen; A K Skidmore (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente); H J Abdullah (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente); Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente
Publication Year 2023
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format text/x-fixed-field; application/octet-stream; application/x-director; application/zip; text/xml; application/pdf
Size 80; 576; 9120; 32; 81135; 308; 1032; 608; 599; 605; 611; 602; 614; 596; 124373; 115701646; 56588
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Forestry; Geosciences; Life Sciences; Natural Sciences