Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
24 Pág.
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Format: | artículo biblioteca |
Language: | English |
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Multidisciplinary Digital Publishing Institute
2020-03-10
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Subjects: | Burn severity, dNBR, Energy balance, Evapotranspiration, Land surface albedo, Land surface temperature, Landsat, Mediterranean, |
Online Access: | http://hdl.handle.net/10261/342951 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100014180 https://api.elsevier.com/content/abstract/scopus_id/85081887716 |
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dig-inia-es-10261-3429512024-10-27T21:56:44Z Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? Fernández-Manso, Alfonso Quintano, Carmen Roberts, Dar A. Ministerio de Economía y Competitividad (España) Junta de Castilla y León Fernández-Manso, Alfonso [0000-0002-6255-5904] Quintano, Carmen [0000-0001-6204-2319] Roberts, Dar A. [0000-0002-3555-4842] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean 24 Pág. Forest managers rely on accurate burn severity estimates to evaluate post-fire damage and to establish revegetation policies. Burn severity estimates based on reflective data acquired from sensors onboard satellites are increasingly complementing field-based ones. However, fire not only induces changes in reflected and emitted radiation measured by the sensor, but also on energy balance. Evapotranspiration (ET), land surface temperature (LST) and land surface albedo (LSA) are greatly affected by wildfires. In this study, we examine the usefulness of these elements of energy balance as indicators of burn severity and compare the accuracy of burn severity estimates based on them to the accuracy of widely used approaches based on spectral indexes. We studied a mega-fire (more than 450 km2 burned) in Central Portugal, which occurred from 17 to 24 June 2017. The offcial burn severity map acted as a ground reference. Variations induced by fire during the first year following the fire event were evaluated through changes in ET, LST and LSA derived from Landsat data and related to burn severity. Fisher's least significant difference test (ANOVA) revealed that ET and LST images could discriminate three burn severity levels with statistical significance (uni-temporal and multi-temporal approaches). Burn severity was estimated from ET, LST and LSA using thresholding. Accuracy of ET and LST based on burn severity estimates was adequate (k = 0.63 and 0.57, respectively), similar to the accuracy of the estimate based on dNBR (k = 0.66). We conclude that Landsat-derived surface energy balance variables, in particular ET and LST, in addition to acting as useful indicators of burn severity for mega-fires in Mediterranean ecosystems, may provide critical information about how energy balance changes due to fire. This research was funded by the Spanish Ministry of Economy and Competitiveness (FIRESEVES project, AGL2017-86075-C2-1-R), and the Regional Government of Castile and León (SEFIRECYL project, LE001P17). Peer reviewed 2024-01-19T11:08:48Z 2024-01-19T11:08:48Z 2020-03-10 artículo http://purl.org/coar/resource_type/c_6501 Remote Sensing 12(5): e890 (2020) 2072-4292 http://hdl.handle.net/10261/342951 10.3390/rs12050890 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100014180 2-s2.0-85081887716 https://api.elsevier.com/content/abstract/scopus_id/85081887716 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86075-C2-1-R/ES/SEVERIDAD DE GRANDES INCENDIOS EN SISTEMAS FORESTALES PROPENSOS AL FUEGO: CONDICIONANTES, EFECTOS EN LA PROVISION DE SERVICIOS Y SOLUCIONES DE GESTION PRE- Y POST-INCENDIO/ Instituto de Ciencias Forestales (ICIFOR) Publisher's version https://doi.org/10.3390/rs12050890 Sí open application/pdf Multidisciplinary Digital Publishing Institute |
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Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean |
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Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean Fernández-Manso, Alfonso Quintano, Carmen Roberts, Dar A. Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
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24 Pág. |
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Ministerio de Economía y Competitividad (España) |
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Ministerio de Economía y Competitividad (España) Fernández-Manso, Alfonso Quintano, Carmen Roberts, Dar A. |
format |
artículo |
topic_facet |
Burn severity dNBR Energy balance Evapotranspiration Land surface albedo Land surface temperature Landsat Mediterranean |
author |
Fernández-Manso, Alfonso Quintano, Carmen Roberts, Dar A. |
author_sort |
Fernández-Manso, Alfonso |
title |
Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
title_short |
Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
title_full |
Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
title_fullStr |
Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
title_full_unstemmed |
Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
title_sort |
can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques? |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020-03-10 |
url |
http://hdl.handle.net/10261/342951 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100014180 https://api.elsevier.com/content/abstract/scopus_id/85081887716 |
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1816136546123776000 |