77 / 2015-10-23 13:41:33

Karst Region Geomorphic Features Extraction and Categorization Based on DEM——A Case Study on Shuanghe Cave Geopark

Karst landform,Type classification,3370, Digital Elevation Model,Quantitative analysis

Currently, karst region physiognomy studies are mostly carried out through qualitative research, with data acquired mostly through field surveys. This not only leads to a heavy workload and a long update cycle, but is also unfavorable for detailed studies due to large subjective impact and low-precision data. Based on 10m-resolution DEM data and using the Shuanghe Cave Geological Park as an example, as well as by virtue of the relevant geographical information system software, automatic extraction, and quantitative analysis conducted on the geomorphologic factors of the park in this paper using the GIS space analysis method, the information is also classified into various categories in accordance with the features of each geomorphic type. The results show that the physiognomy types found in the study area mainly fall into three categories: mountains, hills, and basins. Among these types, dissolved and erosional mountain land covers the largest area-124.04 km2-accounting for 44.6% of the total area. Mountain land mainly consists of middlingly-low mountains and lower mountains, with middle mountains as a complement. The rest are mainly dissolved hills and basins, accounting for 30% and 25.4% of the total area respectively; The classification results obtained through quantitative indicators are more precise than those acquired through traditional classification methods; the outline is much clearer and the results are available for quantitative analysis. Additionally, the quantitative analysis approach is more scientific.