Publication Date
1989
Description
The compilation of 1:1, 500,000 soil map oflnner Mongolia by using visual interpretation of Landsat images (MSS, TM, RBV) is one of the important parts of the application project of remote sensing to the investigation of the grassland resources in Inner Mongolia Autonomous Region of China. Only by using visual intepretation of Landsat images could the soil map covering the area of more than one million square kilometers be compiled completely in three years. Landsat images comprehensively reveal soil types or soil association and their ecological environmental characteristics. Therefore, by using colours, texture and patterns of the remote sensing images, which can be employed as identifiers for direct or indirect interpretation, and associating with field survey, the setting oflandscape spatial and temporal change models as well as geoscience relevant analysis, the map reflecting the zonality and nonzonality of local soil and soil cover can be compiled.
Citation
Tianjie, Li and Ye, Zhao, "Soil Cover, Land Evaluation and Protection in Inner Mongolia" (2025). IGC Proceedings (1989-2023). 15.
https://uknowledge.uky.edu/igc/1989/session12/15
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Soil Cover, Land Evaluation and Protection in Inner Mongolia
The compilation of 1:1, 500,000 soil map oflnner Mongolia by using visual interpretation of Landsat images (MSS, TM, RBV) is one of the important parts of the application project of remote sensing to the investigation of the grassland resources in Inner Mongolia Autonomous Region of China. Only by using visual intepretation of Landsat images could the soil map covering the area of more than one million square kilometers be compiled completely in three years. Landsat images comprehensively reveal soil types or soil association and their ecological environmental characteristics. Therefore, by using colours, texture and patterns of the remote sensing images, which can be employed as identifiers for direct or indirect interpretation, and associating with field survey, the setting oflandscape spatial and temporal change models as well as geoscience relevant analysis, the map reflecting the zonality and nonzonality of local soil and soil cover can be compiled.
