Harz National Park/Central Germany - Gross Primary Productivity - 2019

DOI

Monthly Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees.

The result are based on an empirical model integrates and linearly correlate the Land Surface Water Index (LSWI) derived from Sentinel-2 images and in situ measurements of shortwave incoming radiation with in situ measurements of GPP.

For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562

Monthly maps for the year 2019

Identifier
DOI https://doi.org/10.23728/b2share.b31d67e6a3a6468db8a3f2939ecbbe4c
Source https://b2share.eudat.eu/records/b31d67e6a3a6468db8a3f2939ecbbe4c
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/b31d67e6a3a6468db8a3f2939ecbbe4c
Provenance
Creator Monjarez Fuentes Mario Alberto, Francesca Filograno
Publisher EUDAT B2SHARE
Publication Year 2022
Rights Creative Commons Attribution-ShareAlike (CC-BY-SA); info:eu-repo/semantics/openAccess
OpenAccess true
Contact anna.spinosa(at)deltares.nl
Representation
Format tif
Size 2.7 MB; 1 file
Discipline 3.3.2 → Earth sciences → Environmental science