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1996—2000年陕甘宁青沙地遥感宏观动态研究
引用本文:颜长珍,王一谋,冯毓荪,王建华.1996—2000年陕甘宁青沙地遥感宏观动态研究[J].遥感学报,2002,6(5):376-381.
作者姓名:颜长珍  王一谋  冯毓荪  王建华
作者单位:中国科学院寒区旱区环境与工程研究所,兰州,730000
基金项目:中国科学院“九五”特别支持项目“中国资源环境遥感信息系统与农情速报”(KZ95T)成果
摘    要:以陕某宁青四省区1996年和2000年的TM影像为信息源,在全数字方式下运用遥感技术和地理信息系统技术结合建立了两期沙地数据库.通过分析得出:2000年四省区有沙地面积7910807hm^2与1996年相比净增加6424hm^2,沙地占全区总土地面积的比例由5.733%增加到5.737%,平均每年净增加0.001%,不同省区沙地面积的变化情况是:陕西净增加0.004%,甘肃净减少0.017%,宁夏净减少0.479%,青海净增加0.051%,同时结合实际情况,分析了不同地区沙地变化的驱动因子.

关 键 词:遥感  地理信息系统  陕甘宁青沙地  遥感宏观研究  环境监测  生态环境
文章编号:1007-4619(2002)05-0376-06
收稿时间:4/9/2001 12:00:00 AM
修稿时间:2001年4月9日

Macro-Scale Survey and Dynamic Study of Sandy Land in Shaanxi, Gansu, Qinghai Provinces and Ningxia Region in 1966 and 2000 by Remote Sensing
YAN Chang-zhen,WANG Yi-mou,FENG Yu-sun and WANG Jian-hua.Macro-Scale Survey and Dynamic Study of Sandy Land in Shaanxi, Gansu, Qinghai Provinces and Ningxia Region in 1966 and 2000 by Remote Sensing[J].Journal of Remote Sensing,2002,6(5):376-381.
Authors:YAN Chang-zhen  WANG Yi-mou  FENG Yu-sun and WANG Jian-hua
Abstract:By using digital method of remote sensing and geographical information system techniques, TM images of 1996 and 2000 have been interpreted to establish the database of sandy land of two periods in Shaaxi, Gansu, Ningxia and Qinghai Provinces. Through the study practice and analyzing of sandy land databases,the following points can be concluded:In the study area there is as much as 7,910,807hm 2 sandy land in 2000 and more 6,424hm 2 than in 1996. The percentage of sandy land area over the whole area change from 5 733% in 1996 to 5 737% in 2000, and increases 0 004% in 4 years. In different regions, the change of sandy land is various, such as, it increased 0 004% in Shaanxi Province, decreased 0 017% in Gansu Province, decreased 0 479% in Ningxia Region and increased 0 051% in Qinghai Province. And then based on the change types of sandy land, the factors affecting sandy land changes were analyzed according to the situation of different regions.
Keywords:RS technique  GIS technique  sandy land in Shaanxi  Gansu  Qinghai province and Ningxia region  macro  scale study by remote sensing
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