Centre de documentation
scientifique

Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps / R.H. Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 4 (April 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 4 (April 2004) . - pp 451 - 460 Titre : Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps Type de document : Article/Communication Auteurs : R.H. Fraser, Auteur ; R.J. Hall, Auteur ; R. Landry, Auteur ; T. Lynham, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 451 - 460 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte thématique [Termes IGN] dommage matériel [Termes IGN] erreur systématique [Termes IGN] image à basse résolution [Termes IGN] image Landsat-TM [Termes IGN] image NOAA-AVHRR [Termes IGN] image SPOT-Végétation [Termes IGN] incendie de forêt [Termes IGN] régression Résumé : (Auteur) Satellite-based mapping can provide a timely and efficient means of identifying burned vegetation at continental scales for estimating greenhouse gas emissions and impacts on the terrestrial carbon budget. In this study, we used a sample of 55 Landsat Thematic Mapper (TM) scenes distributed across Canada to validate and calibrate 1998 and 1999 national-level burned areas maps produced using coarse resolution (approx. 1-km) SPOT VEGETATION and NOAA AVHRR imagery. Commission and omissions errors, based on fire events greater than 200 ha, were found to be small in the coarse resolution maps (4 percent and 1 percent, respectively). However, the coarse resolution burned-area estimates were 72 percent larger than the crown fire burned area mapped at 30 m using Landsat TM (11,039 versus 6,403 ha average area). This bias was attributed to spatial aggregation effects in which the coarse resolution product included the tree crown fire, partial burn, and unburned fractions of a pixel. A regression calibration model (R = 0.95, p Numéro de notice : A2004-121 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.4.451 En ligne : https://doi.org/10.14358/PERS.70.4.451 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26648 [article]