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Auteur K.V.S. Badarinath |
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Active forest monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data / T.R. Kiranchand in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)
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Titre : Active forest monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data Type de document : Article/Communication Auteurs : T.R. Kiranchand, Auteur ; K.V.S. Badarinath, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2123 - 2132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande visible
[Termes IGN] corrélation automatique de points homologues
[Termes IGN] forêt tropicale
[Termes IGN] image DMSP-OLS
[Termes IGN] image multitemporelle
[Termes IGN] image Terra-MODIS
[Termes IGN] incendie de forêt
[Termes IGN] Inde
[Termes IGN] surveillance forestièreRésumé : (Auteur) This paper gives an account of day-night active forest fire monitoring conducted over the sub-tropical and moist temperate forests of the Uttaranchal State, India, during 2005 using the Defence Meteorological Satellite Program - Operational Line Scan system (DMSP-OLS) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. The state experienced heavy fire episodes during May-June 2005 and daily datasets of DMSP-OLS (night-time) and selected cloud-free MODIS (daytime) datasets were used in mapping active fire locations. DMSP-OLS collects data in visible (0.5 to 0.9 um) and thermal (10.5 to 12.5 um) bands and detects dim sources of lighting on the earth's surface, including fires. The enhanced fire algorithm for active fire detection (version 4) was used in deriving fire products from MODIS datasets. Fire locations derived from DMSP-OLS and MODIS data were validated with limited ground data from forest department and media reports. Results of the study indicated that the state experienced heavy fire episodes, most of them occurring during night-time rather than daytime. Validation of satellite-derived fires with ground data showed a high degree of spatial correlation. Copyright Taylor & Francis Numéro de notice : A2007-288 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600810609 En ligne : https://doi.org/10.1080/01431160600810609 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28651
in International Journal of Remote Sensing IJRS > vol 28 n° 10 (May 2007) . - pp 2123 - 2132[article]Exemplaires(1)
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