The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-7/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 91–101, 2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 91–101, 2013

  12 Jul 2013

12 Jul 2013


Y. Qin1, H. Liling1, Y. Min2, and L. Yi1 Y. Qin et al.
  • 1Research Center of Remote Sensing and Spatial Information Technology/College of Surveying and Geo-Informatics,Tongji University, Shanghai 200092,China
  • 273011 Troops,Huzhou 313006, China

Keywords: Support Vector Machine, Change Detection, Dynamic Analysis, Mining Area, LUCC

Abstract. With the economic development and population growth, land use status is changing rapidly in Chinese urban. Since the remote sensing technology can analyze and detect the land use information quickly and accurately, it has been widely applied to obtain the land use/land cover change (LUCC) information today. The land surface destroy occurred in mineral resources exploration will result in a lot of environmental problems in coal mine areas. But there are few research in small and medium-sized cities and coal mine areas. So Peixian is used as the study area in the paper. The Landsat TM/ETM images spanning 3 years and thematic map are adopted to detect the land-use change of the area. In order to improve the classification results, we built an optimized classification model adapting classic SVM method, which was defined "a feature weighted SVM classifier using mixed kernel function". Based on geostatistic and multi-scale statistical knowledge, we calculated the transformation matrix and dynamic index of land-use types, from which we conducted quantitative analysis and the driving force on the mine land-use change of Peixian. Then, we can achieve resource dynamic change detection of four years in Peixian area, analyze the effect of the surface land-use change due to mineral exploration and obtain the causes of land-use change.