The University of Southampton
University of Southampton Institutional Repository

Input Datasets for Estimating Gross Primary Productivity (GPP) 2020

Input Datasets for Estimating Gross Primary Productivity (GPP) 2020
Input Datasets for Estimating Gross Primary Productivity (GPP) 2020
The four zip file contains the input files required for GPP estimation as proposed in https://doi.org/10.1016/j.scitotenv.2018.02.314 All the input files are from the year 2020 over the European continent. Year: 2020 Region: Europe Temporal Scale: 8 Days Spatial Resolution: 500 meters Method: Light-use-efficiency (LUE) approach. Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149 https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261 For further information please contact s.bandopadhyay@soton.ac.uk
Zenodo
Bandopadhyay, Subhajit
64e68b1f-e1a6-4c91-8a7c-17bd89812242
Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8
Bandopadhyay, Subhajit
64e68b1f-e1a6-4c91-8a7c-17bd89812242
Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8

(2023) Input Datasets for Estimating Gross Primary Productivity (GPP) 2020. Zenodo doi:10.5281/zenodo.7921122 [Dataset]

Record type: Dataset

Abstract

The four zip file contains the input files required for GPP estimation as proposed in https://doi.org/10.1016/j.scitotenv.2018.02.314 All the input files are from the year 2020 over the European continent. Year: 2020 Region: Europe Temporal Scale: 8 Days Spatial Resolution: 500 meters Method: Light-use-efficiency (LUE) approach. Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149 https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261 For further information please contact s.bandopadhyay@soton.ac.uk

This record has no associated files available for download.

More information

Published date: 10 May 2023

Identifiers

Local EPrints ID: 478735
URI: http://eprints.soton.ac.uk/id/eprint/478735
PURE UUID: 634866d9-2d3d-43e5-b39b-a2513f09f31b
ORCID for Subhajit Bandopadhyay: ORCID iD orcid.org/0000-0002-8657-3488
ORCID for Booker Ogutu: ORCID iD orcid.org/0000-0002-1804-6205
ORCID for Jadunandan Dash: ORCID iD orcid.org/0000-0002-5444-2109

Catalogue record

Date deposited: 07 Jul 2023 16:47
Last modified: 08 Jul 2023 01:58

Export record

Altmetrics

Contributors

Contributor: Subhajit Bandopadhyay ORCID iD
Contributor: Booker Ogutu ORCID iD
Contributor: Jadunandan Dash ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×