基于ENVISATASAR、LandsatTM与DEM的泥炭沼泽信息提取方法.

Peatlands are one of the most important types of wetlands and significant to the balance of global change and ecosystems. On the basis of Held investigation and back-scatter coefficient comparison of different land cover types in different polarization radar images， ENVISAT ASAR , Landsat TM，and DEM data were taken as basic data for a classitication method combining object-oriented and decision tree approaches that were to extract peatlands and adjacent land cover types in a typical peatland zone located in West Xiao-Xing? an Mountains. The overall classification accuracy was 93. 54% with a Kappa coefficient of 0. 92, which indicates that the proposed method used is effective for peatland extraction. Compared to previous work, there is some improvement in classification accuracy. [ABSTRACT FROM AUTHOR]