strategies for incorporating high-resolution google earth databases to guide and validate classifications understanding deforestation in borneo策略将高分辨率的谷歌地球数据库指导和验证分类理解在婆罗洲森林砍伐.pdfVIP

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strategies for incorporating high-resolution google earth databases to guide and validate classifications understanding deforestation in borneo策略将高分辨率的谷歌地球数据库指导和验证分类理解在婆罗洲森林砍伐.pdf

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strategies for incorporating high-resolution google earth databases to guide and validate classifications understanding deforestation in borneo策略将高分辨率的谷歌地球数据库指导和验证分类理解在婆罗洲森林砍伐

Remote Sens. 2011, 3, 1157-1176; doi:10.3390/rs3061157 OPEN ACCESS Remote Sensing ISSN 2072-4292 /journal/remotesensing Article Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo Alexis Dorais and Jeffrey Cardille * Université de Montréal, 440-520 ch de la Côte-Ste-Catherine, Montréal, QC H2V 2B8, Canada; E-Mail: alexis.dorais@ * Author to whom correspondence should be addressed; E-Mail: jeffrey.cardille@umontreal.ca; Tel.: +1-514-343-8003; Fax: +1-514-343-8008. Received: 31 March 2011; in revised form: 20 May 2011 / Accepted: 24 May 2011 / Published: 3 June 2011 Abstract: International climate change mitigation initiatives such as REDD-plus have fuelled the need for forest monitoring efforts that focus especially on the carbon rich natural ecosystems that are found in the humid tropics. Such monitoring efforts must tackle challenges intrinsic to these regions, such as high atmospheric contamination from particulates and persistent cloud cover. The emergence of new high-resolution platforms like Google Earth offers new potential scientific uses that can help meet these challenges. Using data from MODIS and detailed observation of Google Earth images, we have produced a yearly time series of deforestation hotspots for the island of Borneo for the 2000 to 2009 period. Our workflow and results demonstrate how multiple free