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FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach

hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorSCHWARTZ, Martin
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorCIAIS, Philippe
hal.structure.identifierKayrros
dc.contributor.authorDE TRUCHIS, Aurélien
hal.structure.identifierUniversité Toulouse III - Paul Sabatier [UT3]
dc.contributor.authorCHAVE, Jérôme
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorOTTLE, Catherine
hal.structure.identifierIGN-France International [IGN FI]
dc.contributor.authorVEGA, Cedric
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierOffice national des forêts [ONF]
dc.contributor.authorNICOLAS, Manuel
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorJOUABER, Sami
hal.structure.identifierIT University of Copenhagen [ITU]
dc.contributor.authorLIU, Siyu
hal.structure.identifierIT University of Copenhagen [ITU]
dc.contributor.authorBRANDT, Martin
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierKayrros
dc.contributor.authorFAYAD, Ibrahim
dc.date.accessioned2024-04-08T11:36:05Z
dc.date.available2024-04-08T11:36:05Z
dc.date.issued2023-11-02
dc.identifier.issn1866-3508
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194999
dc.description.abstractEnThe contribution of forests to carbon storage and biodiversity conservation highlights the need for accurate forest height and biomass mapping and monitoring. In France, forests are managed mainly by private owners and divided into small stands, requiring 10 to 50 m spatial resolution data to be correctly separated. Further, 35 % of the French forest territory is covered by mountains and Mediterranean forests which are managed very extensively. In this work, we used a deep-learning model based on multi-stream remote-sensing measurements (NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission and ESA's Copernicus Sentinel-1 and Sentinel-2 satellites) to create a 10 m resolution canopy height map of France for 2020 (FORMS-H). In a second step, with allometric equations fitted to the French National Forest Inventory (NFI) plot data, we created a 30 m resolution above-ground biomass density (AGBD) map (Mg ha−1) of France (FORMS-B). Extensive validation was conducted. First, independent datasets from airborne laser scanning (ALS) and NFI data from thousands of plots reveal a mean absolute error (MAE) of 2.94 m for FORMS-H, which outperforms existing canopy height models. Second, FORMS-B was validated using two independent forest inventory datasets from the Renecofor permanent forest plot network and from the GLORIE forest inventory with MAE of 59.6 and 19.6 Mg ha−1, respectively, providing greater performance than other AGBD products sampled over France. Finally, we compared FORMS-V (for volume) with wood volume estimations at the ecological region scale and obtained an R2 of 0.63 with an MAE of 30 m3 ha−1. These results highlight the importance of coupling remote-sensing technologies with recent advances in computer science to bring material insights to climate-efficient forest management policies. Additionally, our approach is based on open-access data having global coverage and a high spatial and temporal resolution, making the maps reproducible and easily scalable. FORMS products can be accessed from https://doi.org/10.5281/zenodo.7840108 (Schwartz et al., 2023).
dc.language.isoen
dc.publisherCopernicus Publications
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enFORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach
dc.typeArticle de revue
dc.identifier.doi10.5281/zenodo.7840108(
dc.subject.halPlanète et Univers [physics]/Océan, Atmosphère
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
bordeaux.journalEarth System Science Data
bordeaux.page4927-4945
bordeaux.volume15
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue11
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04499509
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04499509v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Earth%20System%20Science%20Data&rft.date=2023-11-02&rft.volume=15&rft.issue=11&rft.spage=4927-4945&rft.epage=4927-4945&rft.eissn=1866-3508&rft.issn=1866-3508&rft.au=SCHWARTZ,%20Martin&CIAIS,%20Philippe&DE%20TRUCHIS,%20Aur%C3%A9lien&CHAVE,%20J%C3%A9r%C3%B4me&OTTLE,%20Catherine&rft.genre=article


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