Abstract
An up to date swampland spatial data in tropic area such as Indonesia based on remote sensing data is important needed for estimating the recent change, especially for agriculture activities. The big problem to acquire remote sensing data in tropic area is cloud cover in almost entire areas. In this study, a base map of swampland map in South Kalimantan was developed using ALOS Palsar 25 m Mosaic data obtained in 2010 and legacy data. That remote sensing data are adequate to represent the area because was produced by active remote sensing that able to through cloud cover in tropic area. For this purpose, the datasets was segmented by region growing algorithm and then random forest classification method were developed using training data to determine swampland and no swampland area. Afterward the legacy data from prior research that is mathematic equation calculated and applied to determine tidal swampland and back swampland. The visual comparison result showed there are 3 types backscatter combination HH and HV, 30:70; 40:60; and 50:50 that the best combination is 50:50 with overall accuracy 85,25%. Using that combination the area of swampland that suitable for agriculture activities in South Kalimantan is 669,185.37 ha that tidal swampland around 45% and back swampland around 55%.
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