Title :
A Study on Spatial Distribution of Sinking Sandy Land in Inner Mongolia by Using Different Classification Methods: Taking West Ujimqin Banner as an Example
Author :
Zhang Tao ; Meng He ; Han Peng ; Dong Zhanyuan ; Zhao Yufei
Author_Institution :
Forestry Coll., Inner Mongolia Agric. Univ. Hohhot, Hohhot, China
Abstract :
Desertification is one of the most serious global biological environmental problems. The excessive exploration and utilization of land is the main cause of desertification. Utilizing and exploring sinking sandy land has been accelerating the process of desertification. The data sources for our research are mainly based on remote sensing data, and these data have been processed through a series of correcting and enhancing measures. By using these data and the results of some field investigations, the image features have been analyzed and then the interpretation keys of sinking sandy land are established. The distribution of sinking sandy land has been clarified by using the following two remote sensing methods: Man-Computer Interactive Interpretation classification and Supervised Classification. A comparison between the precision of these two methods has been done. The research is trying to find the most suitable method for the study of the spatial distribution of the sinking sandy land in West Ujimqin Banner and also trying to lay a scientific and theoretical foundation for determining the spatial distribution of the sinking sandy land in Inner Mongolia.
Keywords :
geophysical image processing; geophysical prospecting; image classification; sand; terrain mapping; Inner Mongolia; West Ujimqin Banner; classification methods; desertification process; global biological environmental problems; image features; land desertification; man-computer interactive interpretation classification; man-computer interactive supervised classification; remote sensing data; remote sensing methods; sinking sandy land distribution; spatial distribution; Decision trees; Educational institutions; Lakes; Remote sensing; Soil; Transforms; Vegetation mapping; Inner Mongolia; Sinking Sandy Land; remote sensing;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.42