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基于DEM的县级尺度土地利用定量分析和区域生态环境评价研究

作  者:
于维莲;王应泉;智长贵
单  位:
国家林业局调查规划设计院;贵州省林业调查规划院
关键词:
RS;GIS;数字高程模型;土地利用;生态环境评价
摘  要:
以黑龙江省宾县为例,应用Landsat TM遥感影像数据及DEM数据,在Arc GIS空间分析模块支持下,完成地形因素和土地利用类型现状的叠加分析,并从地形(高程、坡度、坡向)角度探讨区域土地利用类型的空间格局分布,为研究区域的土地合理利用的对策提供重要的科学依据。结果表明:研究区域耕地和林地的面积之和比例为91.20%,占据绝对的优势地位;耕地所占面积最大,集中分布于平地、阳坡和低海拔区域上;林地面积次之,林地在坡度、坡向、高程分级中的各种级别上都有分布;草地、水域、建设用地和未利用地多集中在平地、平坡和低海拔区域;生态环境质量优面积比例为34.16%,林地占据较大比例,生态环境中和差的区域多为平原地带,面积比例分别为36.99%和9.65%。研究结果可为区域土地管理决策、土地可持续利用以及生态环境建设提供理论依据和科学支持。
译  名:
DEM-based Study on County-scale Land Use and Regional Ecological Environment Evaluation
作  者:
YU Weilian;WANG Yingquan;ZHI Changgui;Guizhou Provincial Forest Survey and Planning Institute;Academy of Forest Inventory and Planning,SFA;
关键词:
RS;;GIS;;digital elevation model;;land use;;eco-environment evaluation
摘  要:
In this paper,the Bin county of Heilongjiang province was taken as study sample. Meanwhile,the Landsat TM image and DEM data were used as the main data sources,with the spatial module of ArcGIS,the analysis was made by using land use types and terrain factors from DEM,the spatial pattern distribution of land use was explored by analyzing the terrain factors of elevation,slope and aspects,and the study results can provide important science support for rational land use of this region. The study results show that the total area of cropland and forestland occupied the absolute dominate position of this study region. Which accounted for 91. 20%,the cropland has the greatest area,which focused on flat ground,sunny and low elevation region. While,the forest land has the second greatest area,which is distributed in all rranges of terrain factors for slope,elevation and aspects. Meanwhile,the grassland,water,built-up land and unused land were mainly located in flat area and low elevation region. The area proportion of the good eco-environment quality was 34. 16%,which was mostly occupied by forestland. The region of bad and worse eco-environment quality was plain areas,which occupied area proportion for 36. 99% and 9. 65%,respectively.

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