The use of satellite remote sensing data and geographic information systems on critical land analysis

Critical land classification can be analyzed using Soil Thickness and BRLKT methods. Both methods need soil erosion data as one of input data. The soil erosion can be analyzed using USLE and MUSLE methods. Base on two critical land analyses methods with input soil erosion data analyzed using two methods will result in four combinations of critical land classification procedures. In this research, critical land classification and soil erosion classification were analyzed using GIS.The best method to classify critical land was investigated in this research, where the best classified critical land is the classified critical land result same with the field condition. Percentage of vegetation cover (PVC) is one of the most important input data in the critical land classification analysis using BRLKT method. This data has 50 of 100 total weights. To analyze this PVC classification, NDVI generated from satellite remote sensing data was employed in this research. From the four results of critical land classified using four procedures used in this research, critical land classified using BRLKT method with input soil erosion analyzed using USLE method produced the critical land classification same with the critical land condition in the field.