Automatic Division Of Physiognomy Types Based On RS And GIS Spatial Analysis

Physiognomy is an important element in the geographical environment.It not only plays a decisive role on the whole geographical environment,but also deeply affects the formation and development of other geographical elements.The fore passed study more focused on qualitative research and obtaining of topographic data basically relying on field investigation.This method makes heavy workload,long data updating cycle.Because of the subjectively determined attribute of landform patterns,the precision of the results are low.With the development of modern science and technology, quantitative study of geomorphology has a large development. Accordingly,this article uses computer automatically extracts landform basic type classification based on DEM in scale of 1:100,000.The basic ideas are as follow:First,divide the study area into some small basins based on DEM,regard small basin as the unit to analyze the best analysis window and extract the terrain factors;Second,through analyzing the results of the qualitative and quantitative of the topographic factors,take the best combination which suits landform type well as the single band into "multi-band" image to differentiate the landform type by using the method of Non-supervised classification.This study divides type of landscape patterns in Guizhou Province on the basis of former research results.However,there are some differences:first of all,the method has been applied to the medium-scale charts;secondly,this research adopt multi-window analysis which taking a river basin as a unit.Through the accuracy evaluation,the accuracy of landform data obtained by this way meets the requirements of automatic classification. Using this method to divide types of landforms in Guizhou Province is feasible.The research also divides genetic types of landforms of the study area by using the research results and the original landform data.