Radar inversion and simulation of salty soil salinization
LI Bia · Ganhanqu ziyuan yu huanjing · 2015
This rearch mainly focused on the soil salinity related radar surveillance data in Shanba town of Hanggin Rear Banner,Bayannaoer city,Hetao plain. A study on the RADARSAT- 2 based soil salinization information extraction technology and method was conducted. Using the four polarized Radarsat- 2 data,accompanied by the DEM derived Sigma naught in the studied area to figure out inversion relations between sigma naught values and soil salt content. Thus,the whole image associated decision tree classification was applied so as to determine the degree and distribution of salinity in the study area. Results indicated that the method tested by measured data could meet the requirements of salinization monitoring,which is superior to the traditional soil classification method. It can enrich the salinization monitoring related theory and method,promoting the application of microwave remote sensing in salinization monitoring.