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Predicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 8 (August 2010) . - pp 915 - 922 Titre : Predicting southeastern forest canopy heights and fire fuel models using GLAS data Type de document : Article/Communication Auteurs : M. Ashworth, Auteur ; D. Evans, Auteur ; W. Cooke, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 915 - 922 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] altimétrie satellitaire par laser [Termes IGN] combustible [Termes IGN] données altimétriques [Termes IGN] données ICEsat [Termes IGN] forêt [Termes IGN] hauteur des arbres [Termes IGN] Mississippi (Etats-Unis) [Termes IGN] prévision [Termes IGN] régression logistique [Termes IGN] risque naturel Résumé : (Auteur) The Geoscience Laser Altimeter System (GLAS) is a waveform lidar system carried on board the Ice, Cloud, and Elevation Satellite (ICESat). This study tested the use of GLAS data, from the L3e and L3g campaigns, to estimate total canopy height. GLAS footprint locations were sampled for reference data. The Glas-derived and field-derived canopy heights portrayed good correlation (R2 = 0.8354). This study also examined two representative fire fuel models within forests in East-Central Mississippi. GLAS Waveforms were compared with field data for fire fuel models 9 and 10 of the fire fuel models described by Anderson (1982). GLAS data intensities were extracted and averaged to create predictive variables. Two variables were applied in Logistic regression to predict the probability of belonging to either fuel model (overall accuracy = 0.6875). Numéro de notice : A2010-330 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.76.8.915 En ligne : https://doi.org/10.14358/PERS.76.8.915 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30524 [article]