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Identifying Forest Change with SAR

Explore the effectiveness of SAR vs Landsat in detecting forest change, illustrated with data from Martin Whittle and Shaun Quegan at University of Sheffield. Reflect on the challenges of optical imagery and benefits of SAR for accurate deforestation analysis. Compare Landsat images from 2006/09/03 and 2008/06/20 with ALOS PALSAR data. Witness the Kampar region's temporal changes from January 2007 to June 2008 through de-noised HH images. Evaluate detection accuracy using TP, FP, and FN metrics against deforestation databases.

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Identifying Forest Change with SAR

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  1. Identifying Forest Change with SAR March 2010 Martin Whittle Shaun Quegan University of Sheffield

  2. HH Deforestation HV HH/HV Landsat vs. SAR Deforestation Landsat 5 2006/09/03 Landsat5 2008/06/20 ALOS PALSAR The Landsat image above was the best available from the time and emphasises the difficulty of using optical Imagery to develop accurate databases. SAR does not suffer from cloud problems

  3. Jan 2007 Sept 2007 June 2008 Temporal ScanSAR image of Kampar region Each HH image has been de-noised by multi-channel filtering. Pixel size: 100 X 100 m Image size: 128 X 91.8 Km

  4. Detections compared with database deforestation TP – True positive (correct detection) FP – False positive (false alarm) FN – False negative – missed detection

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