Land Use Mapping Using ALOS PALSAR LEVEL 1.1 Full Polarimetrik in Solok

Abstract

Solok city is one of the cities in West Sumatra which is famous for its rice. The occurrence of land conversion became one of the causes of the need for land use mapping in Solok City. Land use mapping can be a source of reference for long-term development planning. Land use mapping is obtained from the classification and calculation of land use in Solok City. This study aims to be able to classify and calculate the area of land use using ALOS PALSAR remote sensing imagery. ALOS PALSAR image is overcoming the weakness of optical image in taking data. The data were processed using SNAP software full Polarimetric methods of data. The process of this Image classification using the unsupervised method. Accuracy of classification results using accuracy and overall accuracy kappa with 85% truth of the classification results. The final classification results consist of six classes of land use in forest, green space, rice field, settlement, vacant land, and moor. 4029 hectares of Solok City administration obtained 1513.6708 hectares of forest area, 723.888 hectares of rice fields, and 578.1562 hectares of green space, residential 351.0094 hectares, and 280.7978 hectares moor, 69.6865 hectares of vacant land, and the land that is not Classified 539, 2195 hectares. Determination of the exact coordinate points of the object area of ​​research to obtain the data needed to avoid the occurrence of mismatch between the object areas with the image recording area.