It is very important to immediately and accurately acquire LUCC information after “5•12” Earthquake for disaster

mitigation，post-disaster reconstruction and restoration of the ecological environment. Remote Sensing images are characterized

by a wide range of information，timeliness and rapidness in LUCC information extraction. Traditional methods in LUCC information

extraction from remote sensing images often take the overall area as a study target,classify the images and acquire the

information directly. Nevertheless, these methods are liable to ignore the influence of topography, geological structure and

other background factors on the classification results. The solution lies in dividing the image into sub-blocks，sub-block

classification and comprehensive analysis based on geographic and geological environment. In this paper, Dujiang Dam as the study

area was divided into four blocks: plain district (Ⅰ)，middle-mountain district (Ⅱ)，middle and high mountain district (Ⅲ) and

high mountain district (Ⅳ) based on the distribution characteristics of geological structures and landform development patterns.

ISODATA method was used for non-supervised classification in District I, maximum likelihood (ML) classification method for

supervised classification was used in DistrictⅡ and Ⅲ, and man-machine interactive interpretation method for classification was

used in District Ⅳ. The results show that the classification method based on the division of geographic and geological

environment is efficient and precise.