首页> 外文会议>Proceedings of the Ninth International Symposium on River Sedimentation vol.4 >STUDY ON THE VARIETY OF THE REGIONAL SOIL EROSION BASED ON GIS, RS AND GPS
【24h】

STUDY ON THE VARIETY OF THE REGIONAL SOIL EROSION BASED ON GIS, RS AND GPS

机译:基于GIS,RS和GPS的区域土壤侵蚀变化研究

获取原文
获取原文并翻译 | 示例

摘要

The GIS, RS, and GPS are the main part of "Digital Earth", which have been widely applied in the management of soil and water conservation, especially in the field of survey of soil erosion, forecasting of soil erosion and the assessment for the program and engineering of soil and water conservation. Based on case study of Miyun county, Beijing, the paper discussed the related theory and method of the application of GIS, RS, and GPS in soil erosioaMain results are followings:(1) Vegetation classification of the Minyun County based on the TM image. Soil-Adjusted Vegetation Index (SAVI), was pick up from TM image, by which the rank of vegetation cover was classified. Then the map of vegetation distribution of the county was executed by ERDAS, the RS (remote sensing) image processing software. And through the sample data, the linear relationship between SAVI and vegetation cover was formed.Linear imitation is a simple method used to calculate vegetation cover to dramatically lessen the workload of field investigation. (2) Quantitative assessment of dynamic change of soil erosion have been carried out in Miyun county according to soil erosion intensities by using the spatial analysis from GIS combined with RS. Climatic data and RS data have been collected through the field survey and the analysis of the terrain, physiognomy, soil and vegetation. Thus the main factors related to soil erosion, including rainfall, erodibility, terrain and land use cover have been screened out. At last, the results have been validated according to the field survey data and some related literatures.
机译:GIS,RS和GPS是“数字地球”的主要部分,已广泛应用于水土保持管理中,尤其是在土壤侵蚀调查,土壤侵蚀预测和评估中。水土保持计划和工程。本文以北京密云县为例,探讨了GIS,RS和GPS在土壤侵蚀中应用的相关理论和方法,主要结果如下:(1)基于TM影像的Min云县植被分类。从TM图像中提取土壤调整植被指数(SAVI),从而对植被覆盖度进行分类。然后,用遥感图像处理软件ERDAS绘制该县的植被分布图。并通过样本数据形成了SAVI与植被覆盖率之间的线性关系。线性模拟是一种简便的计算植被覆盖率的方法,可以大大减轻野外调查的工作量。 (2)利用GIS和RS相结合的空间分析方法,对密云县的土壤侵蚀动态变化进行了定量评估。通过实地调查以及对地形,地貌,土壤和植被的分析,收集了气候数据和遥感数据。因此,已经筛选出了与土壤侵蚀有关的主要因素,包括降雨,侵蚀性,地形和土地利用覆盖率。最后,根据现场调查数据和一些相关文献对结果进行了验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号