Comparison of Different Topographic Correction Models for Surface Reflectance Calculating in Rugged Terrain Area

Important to quantitative remote sensing,surface reflectance is affected by complicated terrain conditions. Topographic correction can reduce or eliminate the terrain effects of image in mountainous area. By taking Fanjing Mountain of Guizhou,China as study area,using Landsat- 5 TM image,DEM,slope and aspect data,and applying 10 kinds of topographic correction models to make comparison in research area,this paper aimed to find problems existing in the application,select suitable model for surface reflectance calculating in rugged terrain area,and provide reference to related research. Results shows that:( 1) SCS + C,Minnaert,b,C,Teillet-regression,VECA and C model,with good topographic correction effects,can be used in surface reflectance calculating in mountainous area,while Minnaert,Teillet-regression and VECA model may go wrong where slope is 0°.( 2) Since Cosine- b,Cosine,SCS and Cosine- C model may lead to overcorrection,and results of Cosine and SCS model may even be greater than 1,they are not appropriate to choose.( 3) If achieving the empirical parameters by sampling,Minnaert model showed higher sensitivity of sample points,while SCS + C and b model lower. The two are more suitable for surface reflectance calculating in large rugged terrain area. Moreover,from DEM data,atmospheric correction model,land cover types,its influence on surface reflectance were discussed respectively and improved suggestions were put forward.