Quantifying deforestation in the Brazilian Amazon using Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) and Shuttle Imaging Radar (SIR)-C data |
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| Authors: | M. Mahmudur Rahman Josaphat Tetuko Sri Sumantyo |
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| Affiliation: | 1. Bangladesh Space Research &2. Remote Sensing Organization (SPARRSO), Forest Division , Agargaon, Sher-E-Bangla Nagar , Dhaka , Bangladesh mahmud@sparrso.gov.bd;4. Microwave Remote Sensing Laboratory , Chiba University , Yayoi, Inage , Chiba , Japan |
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| Abstract: | ![]()
The study examined the capability of dual-polarization SAR data for forest cover mapping and change assessment in the Brazilian Amazon Forest regions. Shuttle Imaging Radar (SIR)-C and Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) data were analysed to map and quantify deforestation. The images were classified using hybrid classifier, where each land cover was grouped in various spectral sub-classes interpreted on the imagery and later merged together to generate the desired land cover classes. The classification accuracy for forest was reasonably high (>90%). The technique applied in this study can be extended for operational mapping and monitoring of deforestation in the tropics, particularly for those regions which are often covered by cloud. |
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| Keywords: | deforestation mapping change matrix SIR-C PALSAR |
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