[1]ZHANG Feng-tai,ZHAO Wei-quan.Land Use Information Extraction Method Based on Multi-information Support in Karst Area[J].Research of Soil and Water Conservation,2014,21(04):312-316.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
21
Number of periods:
2014 04
Page number:
312-316
Column:
Public date:
2014-08-28
- Title:
-
Land Use Information Extraction Method Based on Multi-information Support in Karst Area
- Author(s):
-
ZHANG Feng-tai1, ZHAO Wei-quan2
-
1. Department of Geography and Tourism, Guizhou Normal College, Guiyang 550003, China;
2. Institute of Guizhou Mountain Resources Research, Guizhou Academy of Sciences, Guiyang 550018, China
-
- Keywords:
-
remote sensing; land use; multi-information; karst area
- CLC:
-
TP79
- DOI:
-
-
- Abstract:
-
Land use information is the important basic data, whose accuracy will have a significant impact on the subsequent researches. Given the complex terrain and heterogeneous land cover types, there are certain limitations in using visual interpretation and supervised classification methods to obtain land use information in karst areas. In this paper, we coupled remote sensing images with vegetation index, humidity index, terrain and other information, in combination with principal component analysis method. The process mentioned above is conducted through the decision tree modeling method. Decision parameter threshold of the decision tree is obtained by taking field samples to formulate the objective function. Then the land use information extraction method under the multi-information support in karst area is built. The results show that land use information obtained is in line with the characteristics of proportion and distribution of land use in typical karst areas, and overall classification accuracy reached up to 82%. This method can deepen the understanding of the multi-dimensional remote sensing information, fully tap the implied information, and improve the extraction accuracy of the land use information in karst area as well. In particular, it can reflect the influence of topographic features on the spatial distribution of land use in karst area.