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基于NOAA时间序列数据分析的中国西部荒漠化监测
引用本文:刘爱霞,王长耀,刘正军,牛铮.基于NOAA时间序列数据分析的中国西部荒漠化监测[J].武汉大学学报(信息科学版),2004,29(10):924-927.
作者姓名:刘爱霞  王长耀  刘正军  牛铮
作者单位:1. 中国科学院遥感应用研究所,北京市大屯路9718信箱,100101
2. 中国测绘科学研究院摄影测量与遥感所,北京市北太平路16号,100039
基金项目:国家科技攻关计划资助项目(2001DFBA0005),中国科学院知识创新工程重大资助项目(KZCX1SW0102),国家863计划资助项目(2003AA131020,2003AA131170)。
摘    要:利用1982~2000年的NOAAAVHRR10日合成时间序列数据,对中国西部干旱半干旱区的沙漠边缘及荒漠化多年动态变化进行了分析。

关 键 词:干旱半干旱区  AVHRRNDVI  变异系数  荒漠化监测
文章编号:1671-8860(2004)10-0924-04
修稿时间:2004年5月15日

Application of NOAA-AVHRR to Desertification Monitoring for Western China
LIU Aixia,WANG Changyao,LIU Zhengjun,NIU Zheng.Application of NOAA-AVHRR to Desertification Monitoring for Western China[J].Geomatics and Information Science of Wuhan University,2004,29(10):924-927.
Authors:LIU Aixia  WANG Changyao  LIU Zhengjun  NIU Zheng
Institution:LIU Aixia 1 WANG Changyao 1 LIU Zhengjun 2 NIU Zheng 1
Abstract:The primary purpose of this study is to estimate the boundary between vegetated and non-vegetated areas and to assess the condition of desertification in western China located in arid and semiarid regions. Vegetation is very sparse in desert and therefore onset of green-up in the desert was undetectable with AVHRR NDVI data. The occurrence of onset of green-up, as determined with time series NDVI data, is used to identify desert and non-desert areas. The coefficient of variation (CoV) of the monthly NDVI (maximum-value composite) is used as a parameter to characterize the changes of vegetation in this work.
Keywords:arid and semi-arid areas  AVHRR NDVI  CoV  desertification monitoring
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