Typical Feature Scattering Analysis and Classification in Karst Mountain Plateau Based on Radarsat-2

In order to explore the agricultural monitoring with microwave RS technology in karst plateau mountain by full-polarimetric radarsat-2 data, through the pretreatment of the radar data, using statistical analysis method to analyse feature’s scattering characteristics for classification from the perspective of multitemporal and multi-polarized SAR; using the experimental validation to validate classification accuracy. We can see the total accuracy is 80 % above. This study effectively improve the level of microwave RS technology on agriculture in karst area, which can provides scientific method on increasing income in modern tobacco agriculture.