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Survival analysis of a neotropical rainforest using multitemporal satellite imagery / J.A. Greenberg in Remote sensing of environment, vol 96 n° 2 (30/05/2005)  

Public [article]  inRemote sensing of environment > vol 96 n° 2 (30/05/2005) . - pp 202 - 211 Titre : Survival analysis of a neotropical rainforest using multitemporal satellite imagery Type de document : Article/Communication Auteurs : J.A. Greenberg, Auteur ; S.C. Kefauver, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 202 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] amérindien [Termes IGN] analyse spatiale [Termes IGN] déboisement [Termes IGN] Equateur (état) [Termes IGN] forêt équatoriale [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] impact sur l'environnement [Termes IGN] parc naturel national [Termes IGN] prédiction [Termes IGN] route Résumé : (Auteur) We present results of an analysis of deforestation at a UNESCO Biosphere Reserve, the Parque National Yasuni, located in the rainforests of eastern Ecuador using multitemporal Landsat TM and ETM+ satellite imagery. Using survival analysis, we assessed both current and future trends in deforestation rates, and investigated the impact of spatial, cultural, and economic factors on deforestation. These factors included the distance from roads, rivers research facilities, oil facilities, markets and towns, and land ownership by colonists, native inhabitants, and an oil company. We found the annual rate of deforestation is currently only 0.11%, but that this rate is increasing with time and, assuming that the trend of increasing rate of forest loss continues, we would predict that by 2063, 50% of the forest within 2 km of an oil access road will be lost to unhindered colonization and anthropogenic conversion. The Quechua colonists are associated with areas of the highest rate of deforestation, followed by the native Huaorani and the lowest region of deforestation was in areas occupied by a local oil company. By far, the strongest predictor of where deforestation is predicted to occur was proximity to the road. Proximity to research sites, oil facilities, market, and rivers significantly decreases deforestation rates, and proximity to towns significantly increases deforestation rates. Copyright Elsevier Numéro de notice : A2005-265 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.02.010 En ligne : https://doi.org/10.1016/j.rse.2005.02.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27401 [article]