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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Tree coverage ratio in Iberian Peninsula predicted from GEDI-Sentinel based UNET model - 2018

Authors: SU, YANG;

Tree coverage ratio in Iberian Peninsula predicted from GEDI-Sentinel based UNET model - 2018

Abstract

This is the data used or generated in the paper, "Canopy height and biomass distribution across the forests of Iberian Peninsula". Authors Yang Su a, b, c, Martin Schwartz b, Ibrahim Fayad b, García Alonso Mariano d, Miguel A. Zavala e, Julián Tijerín-Triviño e, Julen Astigarraga e, Verónica Cruz f, Siyu Liu g, Xianglin Zhang c, h, Songchao Chen h,i, François Ritter b, Nikola Besic j, Alexandre d'Aspremont a, Philippe Ciais b Affiliations a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France d University of Alcalá, Department of Geology, Geography and the Environment, Enviromental Remote Sensing Research Group, 28801 Alcalá de Henares, Spain e University of Alcalá, Department of Life Sciences, 28801 Alcalá de Henares, Spain f Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, 28040 Madrid, Spain g Department of Geosciences and Natural Resource Management, Copenhagen University, 1958 Frederiksberg, Denmark h College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China i ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China j IGN, ENSG, Laboratoire d'inventaire forestier (LIF), 54000 Nancy, France Corresponding Author Yang Su yang.su@ens.fr +33 1 89 10 07 67 École normale supérieure - PSL To use the data, please cite this study, and in case of difficulties when using the model and data, please contact the corresponding author for further details and possible assistance The maps of canopy height and above-ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in Table 1-5 in this study. A preview of those maps can be found here: https://ens-yangsu-forest-spain-als.projects.earthengine.app/view/ai4forest-iberian-peninsula Funding Artificial Intelligence for forest monitoring from space – AI4Forests Agence Nationale de la Recherche Find out more... MAZ, JTT, JA and VCA acknowledge support from the Spanish Ministry of Science and Innovation (grant LARGE, Nº PID2021-123675OB-C41). MG acknowledges support from the Spanish Ministry of Science and Innovation (grant REMOTE, Nº PID2021-123675OB-C42). VCA was supported by the Ministry of Universities, Spain, and Next Generation-EU, with “Maria Zambrano” fellowship.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
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