Study on the Temporal and Spatial Changes of Land Use in the Western Section of Dabie Mountains Monitored by High Resolution Satellite
[Purposes]This paper uses high-resolution satellites to monitor the changes in forest and grass wetland coverage in the western section of the Dabie Mountains,and quantitatively evaluate its eco-logical environment,thus providing relevant data support for subsequent ecological environment protec-tion and restoration.[Methods]For the typical ecological barrier area in the Shanxi section of the Dabie Mountains,this article,based on Landsat remote sensing images,comprehensively uses remote sensing image processing technology to produce six issues of 1:250 000 satellite remote sensing image maps and 1:250 000 land use/cover remote sensing interpretation maps from 1980 to 2018.On this basis,statistical calculations were conducted on the land use/coverage area of various types in the Shanxi section of the Dabie Mountains,and analyzed the spatial pattern and tempral and spatial variation of forest,grass,and wetland coverage.[Findings]From 1980 to 2018,the trend of changes shows that the total amount of arable land in the study area continues to decrease,with a total decrease of 781.42 km2;The grassland showed a trend of increasing first and then decreasing,with a total area reduction of 23.77 km2;The wetland experi-enced a trend of first decreasing and then rapidly increasing,with a total area increasing by 168.43 km2;The forest area shows fluctuating changes,but overall it is in a downward trend;The total area of forest land has decreased by 142.68 km2.[Conclusions]Through the analysis of multiple remote sensing images in this study,it can be obtained that the spatial distribution pattern and change trend of land use and cover in the region,providing basic data support for local land planning,utilization,and protection,as well as scientific basis for ecological protection and resource development and utilization.
western section of the dabie mountainsforest grass and wet landtemporal and spatial varia-tionexiguous types
万方数据
维普
