Centre de documentation
scientifique

A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm / D. Stroppiana in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 88 - 102 Titre : A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm Type de document : Article/Communication Auteurs : D. Stroppiana, Auteur ; Gloria Bordogna, Auteur ; P. Carrara, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 88 - 102 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse multicritère [Termes IGN] cartographie des risques [Termes IGN] Europe du sud [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] incendie de forêt [Termes IGN] sous ensemble flou [Termes IGN] surveillance de la végétation Résumé : (Auteur) Since fire is a major threat to forests and wooded areas in the Mediterranean environment of Southern Europe, systematic regional fire monitoring is a necessity. Satellite data constitute a unique cost-effective source of information on the occurrence of fire events and on the extent of the area burned. Our objective is to develop a (semi-)automated algorithm for mapping burned areas from medium spatial resolution (30 m) satellite data. In this article we present a multi-criteria approach based on Spectral Indices, soft computing techniques and a region growing algorithm; theoretically this approach relies on the convergence of partial evidence of burning provided by the indices. Our proposal features several innovative aspects: it is flexible in adapting to a variable number of indices and to missing data; it exploits positive and negative evidence (bipolar information) and it offers different criteria for aggregating partial evidence in order to derive the layers of candidate seeds and candidate region growing boundaries. The study was conducted on a set of Landsat TM images, acquired for the year 2003 over Southern Europe and pre-processed with the LEDAPS (Landsat Ecosystem Disturbance Adaptive Processing System) processing chain for deriving surface spectral reflectance ?i in the TM bands. The proposed method was applied to show its flexibility and the sensitivity of the accuracy of the resulting burned area maps to different aggregation criteria and thresholds for seed selection. Validation performed over an entire independent Landsat TM image shows the commission and omission errors to be below 21% and 3%, respectively. Numéro de notice : A2012-195 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.03.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.03.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31642 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2012031	SL	Revue	Centre de documentation	Revues en salle	Disponible

An algorithm for mapping burnt areas in Australia using SPOT-Vegetation data / D. Stroppiana in IEEE Transactions on geoscience and remote sensing, vol 41 n° 4 (April 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 4 (April 2003) . - pp 907 - 909 Titre : An algorithm for mapping burnt areas in Australia using SPOT-Vegetation data Type de document : Article/Communication Auteurs : D. Stroppiana, Auteur ; Kevin Tansey, Auteur ; J.M. Gregoire, Auteur ; J.M.C. Perrira, Auteur Année de publication : 2003 Article en page(s) : pp 907 - 909 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Australie [Termes IGN] carte thématique [Termes IGN] classification dirigée [Termes IGN] image SPOT-Végétation [Termes IGN] incendie de forêt [Termes IGN] occupation du sol [Termes IGN] zone sinistrée Résumé : (auteur) (Auteur) An algorithm has been developed to map burnt areas over the Australian continent using SPOTVEGETATION (VGT) SI satellite images. The algorithm is composed of a set of thresholds applied to each pixel's value of the VGT spectral channels, two spectral indices and their temporal difference. The threshold values have been derived by means of a supervised classification methodology based on the classification and regression trees algorithm. A procedure has also been developed specifically for pre-processing the daily SI images for burnt area mapping purposes. The final product is composed of ten day and monthly burnt area maps over Australia for the full year 2000. Numéro de notice : A2003-183 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.808898 En ligne : https://doi.org/10.1109/TGRS.2003.808898 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77395 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03041	RAB	Revue	Centre de documentation	En réserve L003	Disponible