Title of article :
Survival analysis of a neotropical rainforest using multitemporal satellite imagery
Author/Authors :
Greenberg، نويسنده , , Jonathan Asher and Kefauver، نويسنده , , Shawn C. and Stimson، نويسنده , , Hugh C. and Yeaton، نويسنده , , Corey J. and Ustin، نويسنده , , Susan L.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
10
From page :
202
To page :
211
Abstract :
We present results of an analysis of deforestation at a UNESCO Biosphere Reserve, the Parque National Yasunي, 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.
Keywords :
Remote sensing , multitemporal , Change detection , Neotropical rainforests , Deforestation , Survival analysis , Roads , Parque National Yasunي , Ecuador
Journal title :
Remote Sensing of Environment
Serial Year :
2005
Journal title :
Remote Sensing of Environment
Record number :
1574647
Link To Document :
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