Torgnon, Italy, Gross Primary Productivity 2017/2019

DOI

15-day and 30-day Gross Primary Productivity (GPP) estimated across the grassland of Torgnon, Italy.

The GPP maps are based on an empirical model that integrates and linearly correlate the RS-based vegetation index derived from Sentinel-2 images and in situ measurements of environmental variable 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

15-day and 30-day maps from April 2017 to December 2019.

Identifier
DOI https://doi.org/10.23728/b2share.61c4fc815b044ed2a80321fef27c7d32
Source https://b2share.eudat.eu/records/61c4fc815b044ed2a80321fef27c7d32
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/61c4fc815b044ed2a80321fef27c7d32
Provenance
Creator Francesca Filograno
Publisher EUDAT B2SHARE
Publication Year 2023
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 40.1 MB; 98 files
Discipline 3.3.2 → Earth sciences → Environmental science