2010
DOI: 10.1007/s11220-010-0048-8
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The Use of Polarimetric SAR Data for Forest Disturbance Monitoring

Abstract: Tropical forest degradation has been a major area of interest for the remote sensing community. Various sensors have been dedicated to monitor its changes; however, due to widespread cloud cover, limited information could be retrieved through optical datasets. Synthetic Aperture Radar (SAR) sensors provide an alternative for such purpose. This paper discusses an application of SAR polarimetry data coupled with the Cloude-Pottier decomposition theorem as a noninvasive method for the assessment of degraded fores… Show more

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Cited by 21 publications
(11 citation statements)
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References 17 publications
(25 reference statements)
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“…Further investigation is also required on the preprocessing steps (e.g., filtering noise method) and on the derived texture indicators. To the extent of our knowledge, degraded forest structure and status remain understudied, with a lot of technical aspects (frequency of the time series, spatial resolution, polarizations, incident angles and frequency bands) that need to be tackled [80][81][82].…”
mentioning
confidence: 99%
“…Further investigation is also required on the preprocessing steps (e.g., filtering noise method) and on the derived texture indicators. To the extent of our knowledge, degraded forest structure and status remain understudied, with a lot of technical aspects (frequency of the time series, spatial resolution, polarizations, incident angles and frequency bands) that need to be tackled [80][81][82].…”
mentioning
confidence: 99%
“…In order to better describe the stochastic characteristics of media, Cloude and Pottier [10,23] gave the definitions as follows:…”
Section: Feature Extraction and Combinationmentioning
confidence: 99%
“…Anisotropy measures the relative importance of the second and third eigenvalues of eigen decomposition. It can be used as a source of discrimination, when H 4 0.7 (Fang et al 2006, Trisasongko 2010.…”
Section: Geocarto Internationalmentioning
confidence: 99%