首页 | 本学科首页   官方微博 | 高级检索  
     

GIS/RS集成技术在叙利亚滨海土壤侵蚀评价和模拟研究上的应用
引用本文:M. AL-ABED,SHI Zhou,A. YAGHI,WANG Ren-Chao. GIS/RS集成技术在叙利亚滨海土壤侵蚀评价和模拟研究上的应用[J]. 土壤圈, 2001, 11(2): 167-174
作者姓名:M. AL-ABED  SHI Zhou  A. YAGHI  WANG Ren-Chao
作者单位:[1]GeneralOrganizationofRemoteSensing(Gors),P.O.Box12586,Damascus(Syria) [2]InstituteofAgriculturalRemoteSensingandInformationSystemApplication,ZhejiangUniversity,Hangzhou310029(China)
基金项目:*1Project supported by the National Natural Science Foundation of China (No.40001008) and German Federal Ministry for Research and Education (AZ39742).
摘    要:An integrated remote sensing(RS) and geographic informtion system(GIS) technique was employed to characterize the spatial distribution of the risk of soil erosion by water on Lakaia district ,Syria,The universal soil loss equation(USLE)was used to calculate the annual soil loss rates for Latakia soils ,Mainly,remote sensing data soil survey,land use inventory,elevation data and climatic atlases are used as resource data sets to generate USLE facto values ,The results revealed that integration of GIS/RS with USLE was a practical and effective approach for monitoring soil erosion over large areas.

关 键 词:地理信息系统 遥感 GIS RS 土壤侵蚀 叙利亚共和国

An integrated GIS/RS approach for soil erosion assessment and modeling in Syrian coastal soils
M. AL-ABED,SHI Zhou,A. YAGHI and WANG Ren-Chao. An integrated GIS/RS approach for soil erosion assessment and modeling in Syrian coastal soils[J]. Pedosphere, 2001, 11(2): 167-174
Authors:M. AL-ABED  SHI Zhou  A. YAGHI  WANG Ren-Chao
Affiliation:General Organization of Remote Sensing (GORS), P.O. Box 12586, Damascus (Syria);Institute of Agricultural Remote Sensing and lnforrrzation System Application, Zhejiang Universzty, Hangzhou 310029 (China);General Organization of Remote Sensing (GORS), P.O. Box 12586, Damascus (Syria);Institute of Agricultural Remote Sensing and lnforrrzation System Application, Zhejiang Universzty, Hangzhou 310029 (China)
Abstract:An integrated remote sensing(RS) and geographic informtion system(GIS) technique was employed to characterize the spatial distribution of the risk of soil erosion by water on Lakaia district ,Syria,The universal soil loss equation(USLE)was used to calculate the annual soil loss rates for Latakia soils ,Mainly,remote sensing data soil survey,land use inventory,elevation data and climatic atlases are used as resource data sets to generate USLE facto values ,The results revealed that integration of GIS/RS with USLE was a practical and effective approach for monitoring soil erosion over large areas.
Keywords:geographic information system   remote sensing   soil erosion   universal soil loss equation (USLE)
本文献已被 维普 等数据库收录!
点击此处可从《土壤圈》浏览原始摘要信息
点击此处可从《土壤圈》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号