Publication Date
1985
Location
Kyoto Japan
Description
This study is aimed to describe the present conditions of the degradation of grassland in Hailar Area, Inner Mongolia, China and to explain the causes of degradation in this area so as to provide scientific basis for forming projects of using the grassland more efficiently and preventing from degradation more effectively. Based on the interpretation of Landsat images and geographical analysis of information obtained from field investigation, a classification system including desertificated, salinzed, marshy and overgrazed grassland has been established and the map of grassland degradation in this area has been complied. The methods used enhance the mapping process to be rapid and the results accurate. The results obtained are useful in understanding the dynamic changes in grassland and is helpful in establishing a project for better utilization of the grassland.
Citation
Ji, Zhao; Qiming, Zhou; and Weihong, Fan, "Remote Sensing Analysis of the Grassland Degradation in Hailar Area" (1985). IGC Proceedings (1985-2023). 101.
(URL: https://uknowledge.uky.edu/igc/1985/ses6/101)
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Remote Sensing Analysis of the Grassland Degradation in Hailar Area
Kyoto Japan
This study is aimed to describe the present conditions of the degradation of grassland in Hailar Area, Inner Mongolia, China and to explain the causes of degradation in this area so as to provide scientific basis for forming projects of using the grassland more efficiently and preventing from degradation more effectively. Based on the interpretation of Landsat images and geographical analysis of information obtained from field investigation, a classification system including desertificated, salinzed, marshy and overgrazed grassland has been established and the map of grassland degradation in this area has been complied. The methods used enhance the mapping process to be rapid and the results accurate. The results obtained are useful in understanding the dynamic changes in grassland and is helpful in establishing a project for better utilization of the grassland.
