Remote Sensing | |
Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon | |
Carlos M. Souza2  João V. Siqueira2  Marcio H. Sales2  Antônio V. Fonseca2  Júlia G. Ribeiro2  Izaya Numata3  Mark A. Cochrane3  Christopher P. Barber3  Dar A. Roberts1  | |
[1] Department of Geography, University of California Santa Barbara, 3611A Ellison Hall, Santa Barbara, CA 93106, |
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关键词: deforestation; forest degradation; Amazon; decision tree; | |
DOI : 10.3390/rs5115493 | |
来源: mdpi | |
【 摘 要 】
Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30% of the area converted by deforestation. While average annual outright deforestation declined by 46% between the first and second halves of the study period, annual forest degradation increased by 20%. Existing operational monitoring systems (PRODES:
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190031938ZK.pdf | 4134KB | download |