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Identifying potential sedimentation sources through a remote sensing and GIS analysis of landuse/landcover for the Weeks Bay watershed, Baldwin County, Alabama.

机译:通过对阿拉巴马州鲍德温县周湾流域的土地利用/土地覆被进行遥感和GIS分析,确定潜在的沉积源。

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摘要

The Weeks Bay watershed in Baldwin County, Alabama has experienced rapid changes in landuse/landcover (LULC) from 1990 to 2000. These changes have resulted in increased upland erosion and higher concentrations of suspended sediment within the watershed. For this research project a spatial model was developed to identify potential sources of sediment relevant to LULC and slope. Landsat satellite imagery was classified to assess LULC within the Weeks Bay watershed. The classification includes forested vegetation, herbaceous vegetation (seasonal and persistent), mixed/transitional vegetation, urban/built-up areas, sparse/residual vegetation and water, with an overall accuracy of 78%. Change detections of the classified images yielded substantial increases in urban areas (92.5%). These data were coupled with slope data in a geographic information system and a raster analysis provided a qualitative evaluation of potential sediment sources within the Weeks Bay watershed based on the change in LULC and slopes of the landscape.
机译:1990年至2000年,阿拉巴马州鲍德温县的周湾流域经历了土地利用/土地覆被(LULC)的快速变化。这些变化导致高地侵蚀增加,流域内的悬浮泥沙浓度更高。对于该研究项目,开发了空间模型以识别与LULC和坡度有关的潜在沉积物来源。 Landsat卫星图像被分类以评估周湾流域内的LULC。分类包括森林植被,草本植被(季节性和持续性),混合/过渡性植被,城市/建成区,稀疏/残余植被和水,总准确度为78%。分类图像的变化检测在城市地区产生了大幅增长(92.5%)。这些数据与地理信息系统中的坡度数据相结合,并且栅格分析基于LULC和景观坡度的变化,对周湾流域内的潜在沉积物来源进行了定性评估。

著录项

  • 作者

    Cartwright, John Harrison.;

  • 作者单位

    Mississippi State University.;

  • 授予单位 Mississippi State University.;
  • 学科 Physical Geography.;Remote Sensing.;Environmental Sciences.;Geology.
  • 学位 M.S.
  • 年度 2002
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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