Forested landscapes such as mangrove have drawn many attentions due to their importance in carbon stock. Many attempts were conducted to obtain suitable mangrove map using multi-spectral remote sensing imagery. However, atmospheric disturbance including cloud limits multi-spectral sensors. In many cases, observation through Synthetic Aperture Radar (SAR) is then required. In this research, C-, L- and P-band fully polarimetric SAR data were evaluated to provide a mangrove map exploiting Wishart classifier. Results indicated that Ceriops was the only distinguishable species at C-band. Observation using longer wavelengths (L- and P-bands) revealed fairly strong attenuation from soil background. However, overall accuracy suggested that P-band produced lowest classification error, hence it was suitable to produce a highly accurate map.
|Publisher||School of Electrical Engineering and Informatics Institut Teknologi Bandung|
|Index at||29 January 2013 7:00 a.m.|
|Source Title||INTERNATIONAL JOURNAL ON ELECTRICAL ENGINEERING AND INFORMATICS 474--482 pages. Vol. 4 Number.3|