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Auteur M. Ishiahra |
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Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data / M. Maki in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
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Titre : Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data Type de document : Article/Communication Auteurs : M. Maki, Auteur ; M. Ishiahra, Auteur ; M. Tamura, Auteur Année de publication : 2004 Article en page(s) : pp 440 - 450 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] image SPOT-Végétation
[Termes IGN] incendie de forêt
[Termes IGN] Normalized Difference Water Index
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] risque naturel
[Termes IGN] sécheresse
[Termes IGN] stress hydrique
[Termes IGN] surveillance forestièreRésumé : (Auteur) Estimating the water status of vegetation is one of the most important elements in assessing forest fire danger. In this paper, laboratory measurement confirmed a relationship between leaf water status and the normalized difference water index (NDWI), derived from nearinfrared and shortwave-infrared spectral data. Two results were confirmed: (a) NDWI is related to equivalent water thickness, and, (b) in addition to NDWI, the quantity of leaf material must be known in order to estimate vegetation dryness. Based on these findings, the authors developed a vegetation dryness index (VDI) to estimate global vegetation water content. VDI values, calculated by using SPOT/VEGETATION data, were applied to data from a 1998 forest fire in the Russian Far East. This led to two results: (a) VDI was useful for detecting areas with a high potential for ignition, and (b) VDI may have been able to detect the fire-spread direction. Numéro de notice : A2004-190 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.002 En ligne : https://doi.org/10.1016/j.rse.2004.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26717
in Remote sensing of environment > vol 90 n° 4 (30/04/2004) . - pp 440 - 450[article]