Human-machine interaction is the main way for geographic hazard remote sensing interpretation at home and abroad as it is easy to use

intuitive and efficient. But there still exist certain problems

such as excessive dependence on image color

texture

shadow and other optical elements

one-sided pursuit of interpreting keys

lacking use of DEM

insufficient applications of image comprehensive analysis

spatial analysis and 3D visualization based on GIS. Thus this paper conducts research into quantitative analysis of human-machine interaction. This paper explores three methods of one-dimensional

two-dimensional and three-dimensional remote sensing interpretation based on pre-and post-disaster DEM and high spatial resolution remote sensing images

and analyses the complementary relationships among them. Then Guanling ‘6.28’ Mega Landslide in Guizhou province of China is interpreted by comprehensively using the three methods. One-dimensional elevation curve calculation gives the initial impression of landslides interpretation

two-dimensional image comparison and analysis belongs to dynamic analysis methods

and precise three-dimensional scene interpretation is quantitative calculation. During one-dimensional elevation curve calculation the possible partition frame of collapse area

landslide area and accumulation area along the curve movement is obtained

which provides spatial reference for two-and three-dimensional interpretations. The development from two-dimensional image comparison and analysis to precise three-dimensional scene interpretation shows that high spatial resolution remote sensing image interpretation of landslides has developed from qualitative analysis highly relying on man-machine interaction mode to quantitative calculation mainly based on multi-dimensional spatial analysis models.