Monthly leaf area index generated using Sentinel-2 for Rumperöd Forest, Sweden, in 2019

DOI

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2019 over Rumperöd Forest, Sweden, applying an enhanced vegetation index (EVI)-based model as an empirical approach. The LAI products were utilised 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: 05-01-2019

Date: 16-02-2019

Date: 01-03-2019

Date: 22-04-2019

Date: 15-05-2019

Date: 29-06-2019

Date: 11-07-2019

Date: 25-08-2019

Date: 22-09-2019

Date: 29-10-2019

Date: 23-12-2019

Date Submitted: 2023-04-06

Identifier
DOI https://doi.org/10.17026/dans-zea-yhjv
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zea-yhjv
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); 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 application/octet-stream; application/zip; text/xml; application/pdf
Size 32; 59188; 308; 1804; 1810; 1801; 1808; 1813; 1805; 1799; 1806; 516; 108; 121433; 49286; 236
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