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dc.contributor | Facultad de Ciencias Biologicas y Ambientales | es_ES |
dc.contributor.author | Fernández García, Víctor | |
dc.contributor.author | Kull, Christian A. | |
dc.contributor.other | Ecologia | es_ES |
dc.date | 2023 | |
dc.date.accessioned | 2024-05-10T06:39:58Z | |
dc.date.available | 2024-05-10T06:39:58Z | |
dc.identifier.citation | Fernández-García, V. & Kull, C. A. (2023). Refining historical burned area data from satellite observations. International Journal of Applied Earth Observation and Geoinformation, 120, Article e103350. https://doi.org/10.1016/j.jag.2023.103350 | es_ES |
dc.identifier.issn | 1569-8432 | |
dc.identifier.other | https://www.sciencedirect.com/science/article/pii/S1569843223001723 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/20574 | |
dc.description.abstract | [EN] Sentinel-2 imagery has revealed a substantial underestimation of burned area (BA) compared with earlier satellite products with coarser spatial resolution. In this context, we investigate the predictability of biases between the reference Sentinel-2 BA product developed for Sub-Saharan Africa (FireCCISFD) in 2019 and commonly used global coarse resolution BA products (MCD64, Fire CCI and C3S), providing tools to refine historical annual BA data before the Sentinel-2 era. To do so, we built a comprehensive dataset of environmental predictors of BA biases, with variables or proxies of (I) the annual BA estimated from the coarse-resolution product, (II) BA sizes, (III) the persistence and strength of BA signals, (IV) the maximum potential BA, and (V) the obstruction of land surface observation from satellites. Full and parsimonious random forest models were performed and validated through out-of-bag (OOB) estimations, and reconstructed BAs were validated with external data over space, and over time. The explained variance in BA biases was ≥78.58% (OOB) for all full and parsimonious models. The reconstructed BA data showed a high correspondence with the reference BA in the validation sites over space (≥91.15% var. explained) and time (≥90.37% var. explained), notably reducing biases of coarse resolution products. As an example of the model applicability, the spatial patterns of Madagascar’s BA were reconstructed for 2005, 2010, 2015 and 2020, revealing a burned extent between two and four times higher than previous estimations. The proposed models are operational solutions to obtain regional and global virtually unbiased BA estimates since 2000 | es_ES |
dc.language | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.publisher | Enschede International Institute for Aerial Survey and Earth Sciences | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Ecología. Medio ambiente | es_ES |
dc.subject | Ingeniería forestal | es_ES |
dc.subject.other | Sentinel-2 | es_ES |
dc.subject.other | MODIS | es_ES |
dc.subject.other | Random forest | es_ES |
dc.subject.other | Africa | es_ES |
dc.subject.other | Madagascar | es_ES |
dc.title | Refining historical burned area data from satellite observations | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.1016/j.jag.2023.103350 | |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1872-826X | |
dc.journal.title | International Journal of Applied Earth Observation and Geoinformation | es_ES |
dc.volume.number | 120 | es_ES |
dc.page.initial | 103350 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 2506.16 Teledetección (Geología) | es_ES |
dc.subject.unesco | 3106 Ciencia Forestal | es_ES |
dc.subject.unesco | 3106.99 Otras (Incencios forestales) | es_ES |
dc.description.project | This study was financed by the Swiss Network for International Studies (SNIS), in the framework of the project “Fire regimes and ecosystem services in African biodiversity hotspots: can fire policies favoring climate change mitigation, biodiversity and local communities converge?”, in which CK and VF-G are the coordinator and the principal member respectively. VF-G is supported by a Margarita Salas fellowship from the Ministry of Universities of Spain, financed with European Union-NextGenerationEU and Ministerio de Universidades funds and granted by the University of León to accomplish his post-doctoral research at the University of Lausanne | es_ES |
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