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林业资源管理 ›› 2013, Vol. 0 ›› Issue (4): 109-113.

• 技术应用 • 上一篇    下一篇

基于RS和GIS的阿城区土地利用和土壤侵蚀的定量分析

智长贵1, 龚文峰2, 张静2, 张云1   

  1. 1.国家林业局调查规划设计院,北京 100714;
    2.黑龙江大学 水利电力学院,哈尔滨 150086
  • 收稿日期:2013-04-19 修回日期:2013-06-13 出版日期:2013-08-28 发布日期:2020-11-23
  • 通讯作者: 龚文峰(1976-),男,副教授。Email:gwf101@163.com
  • 作者简介:智长贵( 1973-),男,河南商水人,高工,博士,主要从事森林资源监测工作。Email:zhichanggui@163.com
  • 基金资助:
    国家863项目(2012AA102001);黑龙江教育厅科技项目(12531513)

Quantitative Analysis on the Relationship between Land Use and Soil Erosion Based on RS and GIS in Acheng District of Harbin City

ZHI Changgui1, GONG Wenfeng2, ZHANG Jing2, ZHANG Yun1   

  1. 1. Academy of Forest Inventory and Planning State Forestry Administration,Beijing1007142;
    2. Heilongjiang University,Harbin,150086,China
  • Received:2013-04-19 Revised:2013-06-13 Online:2013-08-28 Published:2020-11-23

摘要: 基于RS和GIS技术,以2007年Landsat TM遥感影像为主要数据源,在获取研究区域土地利用和土壤侵蚀的基础上,借助于GIS空间分析功能,完成土地利用和土壤侵蚀的叠加分析,定量分析研究区域土地利用类型现状和土壤侵蚀之间的关系。结果表明:研究区域耕地和林地的面积之和比例为90.30%,占据绝对的优势地位;土壤侵蚀强度上呈现整体以轻度侵蚀、中度侵蚀为主,局部有强烈侵蚀的土壤侵蚀特征;林地在微度侵蚀上的面积最大,耕地在轻度侵蚀、中度侵蚀和重度侵蚀上的面积最大;未利用地在各个土壤侵蚀强度上的面积最小,其中在重度侵蚀上没有分布。

关键词: 土地利用, 土壤侵蚀, 定量分析, 空间分布

Abstract: Based on the technology of RS and GIS,the RS image of Landsat TM in 2007 was used as the main data source to obtain the data of land use and erosion of study region. Through the spatial analysis module,the land use and erosion was overlaied to quantitatively analyze the relationship between present state of land use types and soil erosion data.The study results show that the cropland and forestland took an absolute dominate position,which accounted for 90.30% of total area of study region. The soil erosion intensity was mainly low and moderate,while the severe soil erosion exited in some local areas. The area of forestland in wild erosion was largest,while cropland occupied the largest area in light soil erosion. However,the area of unused land in each soil erosion extensity was smallest. Meanwhile,the unused land had no distribution in severe soil erosion.

Key words: land use, soil erosion, quantitative analysis, spatial distribution

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