TY - JOUR AU - Chattichai Waisurasingha, AU - Masamu Aniya, PY - 2018/02/20 Y2 - 2024/03/28 TI - APPLICATION OF FINE QUAD-POLARIZATION RADARSAT-2 DATA AND SUPPORT VECTOR MACHINES TO CLASSIFY OFFSEASON RICE PADDIES JF - GEOMATE Journal JA - INTERNATIONAL JOURNAL OF GEOMATE VL - 14 IS - 46 SE - Articles DO - UR - https://geomatejournal.com/geomate/article/view/2897 SP - 185-192 AB - <p>In monsoon areas in Asia, most seasonal rice paddies are destroyed annually by flooding.<br>To secure rice production, farmers in these areas grow off-season rice crops, which can be produced only<br>with irrigated water. However, due to prevailing drought conditions, the cultivation of off-season rice crops<br>cannot commence simultaneously. The availability of irrigated water is the critical factor for farmers in<br>deciding when to begin off-season cultivation. To assess off-season rice production, a map of the cultivated<br>area is required. Using multi-polarization/multi-temporal RADARSAT-2 data, this study aims to estimate<br>and map the off-season rice paddies. The potential of using support vector machine classification to map<br>off-season rice paddies with C-band SAR data was also established. Multi-temporal fine quad-polarization<br>RADARSAT-2 data can be effectively used to estimate off-season rice cultivated areas.<br><br></p> ER -