湖北农业科学 ›› 2020, Vol. 59 ›› Issue (6): 28-33.doi: 10.14088/j.cnki.issn0439-8114.2020.06.005

• 资源·环境 • 上一篇    下一篇

基于RS和GIS的重庆市忠县土壤侵蚀时空演变分析

刘倩楠, 郭善昕, 姜小砾, 王琎, 陈劲松   

  1. 中国科学院深圳先进技术研究院空间信息研究中心,广东 深圳 518055
  • 收稿日期:2019-07-22 出版日期:2020-03-25 发布日期:2020-06-13
  • 作者简介:刘倩楠(1986-),女,黑龙江哈尔滨人,博士,主要从事生态资源环境监测与评价的研究,(电话)15002058686(电子信箱)qn.liu@siat.ac.cn。
  • 基金资助:
    国家重点研发计划项目(2017YFB0504203); 国家自然科学基金项目(41601212)

RS and GIS-based analysis on spatial-temporal evolution of soil erosion in Zhong county,Chongqing city

LIU Qian-nan, GUO Shan-xin, JIANG Xiao-li, WANG Jin, CHEN Jin-song   

  1. Center for Geospatial Information,Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences,Shenzhen 518055,Guangdong,China
  • Received:2019-07-22 Online:2020-03-25 Published:2020-06-13

摘要: 以重庆市忠县为研究区域,以1990、2015年的Landsat TM和Landsat TM8 OLI为主要数据源,基于RS和GIS并结合实地采样的土壤遥感调查数据,获取研究区域土壤侵蚀数据,并进行土壤侵蚀空间分布格局与时空动态演变规律的分析。结果表明,两个时期土壤侵蚀总体格局基本都是以微度侵蚀为主,1990、2015年所占的面积比例分别为44.67%和54.88%,轻度、中度和强度侵蚀三者之和分别为50.99%和41.59%;微度侵蚀的面积呈增加的趋势,而其他侵蚀类型呈减少的趋势;剧烈侵蚀面积减少的幅度最大,为25.77%;轻度侵蚀减少的面积最大,为101.16 km2;微度侵蚀与轻度侵蚀之间的转换数量较大,转换相对剧烈,极强度和剧烈侵蚀与其他侵蚀类型之间转移变化量相对较小。

关键词: 遥感, 土壤侵蚀, 时空演变, 空间分布, 重庆市忠县

Abstract: Based on Landsat TM, Landsat TM8 OLI, RS, GIS and field remote-sensing survey data in 1990 and 2015, the spatial distribution of soil erosion pattern and its spatial-temporal evolution characteristics in Zhong county, Chongqing city were analyzed. The results shows that in these two periods, soil erosion was dominated by the micro erosion. The proportions of the soil erosion in 1990 and 2015 were 44.67% and 54.88%, respectively. The sumsof area proportions of the area in the mild, moderate and strong soil erosion type in 1990 and 2015 in this area is 50.99% and 41.59%, respectively. As the area of micro erosion increases, the area of other erosion types decreases. Strong erosion area showed the sharpest cut (25.77%) and mild erosion area narrows mostly(101.16 km2). The great conversion happens between micro erosion and mild erosion, as the conversion between extreme strong erosions and strong erosions with other erosion types were relatively smaller.

Key words: remote-sensing, soil erosion, spatial-temporal evolution, spatial distribution, Zhong county of Chongqing city

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