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Development of early-stage deforestation detection algorithm (advanced) with PALSAR-2/ScanSAR for JICA-JAXA program (JJ-FAST) | IEEE Conference Publication | IEEE Xplore

Development of early-stage deforestation detection algorithm (advanced) with PALSAR-2/ScanSAR for JICA-JAXA program (JJ-FAST)


Abstract:

Time series PALSAR-2/ScanSAR data and Landsat data were used for examining the differences in detection timing of deforestation. Optical sensor-based (Landsat) deforestat...Show More

Abstract:

Time series PALSAR-2/ScanSAR data and Landsat data were used for examining the differences in detection timing of deforestation. Optical sensor-based (Landsat) deforestation information taken about every 16 days and SAR data taken about every 1.5 months were used, and the temporal change of L-band γ0 was examined for the deforestation areas. The γ0HH value increased by 1.2 dB on average for areas undergoing the early stages of deforestation, where fallen trees were left on the ground. The detection timing was almost same as that using the optical sensor. On the other hand, the γ0HV value decreased by 1.2 dB on average for areas undergoing the late stages of deforestation, where fallen trees were removed. The detection timing using γ0HV was about a few month after the detection using γ0HH, or optical sensor. It is concluded that γ0HH is useful for early-stage deforestation detection, and γ0HV is useful for late-stage deforestation detection.
Date of Conference: 23-28 July 2017
Date Added to IEEE Xplore: 04 December 2017
ISBN Information:
Electronic ISSN: 2153-7003
Conference Location: Fort Worth, TX, USA

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