cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14682564
title: GEDI based tree coverage ratio in Iberian Peninsula - 2017

description: 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 model and data, please contact the corresponding author for more details.

 

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 2 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.
DOI: 10.5281/zenodo.14686722
title: Tree coverage ratio in Iberian Peninsula predicted from GEDI-Sentinel based UNET model - 2018

description: 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.
DOI: 10.5281/zenodo.14686723
title: GEDI based tree coverage ratio in Iberian Peninsula - 2018

description: 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 model and data, please contact the corresponding author for more details.

 

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 2 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.
DOI: 10.5281/zenodo.15032307
title: Tree coverage ratio in Iberian Peninsula predicted from GEDI-Sentinel based UNET model - 2017

description: 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.
DOI: 10.5281/zenodo.14650153
title: Canopy height map in Iberian Peninsula - Predicted from GEDI-Sentinel based UNET model - 2019

description: 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.
DOI: 10.5281/zenodo.14650154
title: Canopy height map in Iberian Peninsula - GEDI based - 2019

description: 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 model and data, please contact the corresponding author for more details.

 

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 2 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.
DOI: 10.5281/zenodo.14650260
title: Canopy height map in Iberian Peninsula - Predicted from GEDI-Sentinel based UNET model - 2020

description: 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.
DOI: 10.5281/zenodo.14650261
title: Canopy height map in Iberian Peninsula - GEDI based - 2020

description: 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 model and data, please contact the corresponding author for more details.

 

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 2 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.
DOI: 10.5281/zenodo.14650369
title: Canopy height map in Iberian Peninsula - Predicted from GEDI-Sentinel based UNET model - 2021

description: 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.