干旱区生态环境知识资源中心(Arid): 基于MODIS和NOAA/AVHRR的荒漠化遥感监测方法

Arid

	基于MODIS和NOAA/AVHRR的荒漠化遥感监测方法
其他题名	Method for remote sensing monitoring of desertification based on MODIS and NOAA/AVHRR data
	刘爱霞 1; 王长耀 2; 王静 1; 邵晓梅 1
ISSN	1002-6819
出版年	2007
卷号	23 期号:10 页码:145-150
中文摘要	土地荒漠化是中国西部最严重的生态环境问题,荒漠化遥感监测技术是掌握荒漠化发展趋势的重要手段.基于空间分辨率为1 km的NOAA/AVHRR和MODIS遥感数据,首先依据湿润指数法确定了荒漠化范围和气候分区.然后选取出了可以反映不同荒漠化特征,并且能够通过中低分辨率的NOAA/AVHRR和MODIS遥感影像反演出来的5个荒漠化遥感监测指标,通过精度评价分析,确定了最佳指标组合.由于MODIS和NOAA/AVHRR数据的影像特征存在较大差异,针对每一气候分区,建立了分别适用于MODIS和NOAA/AVHRR数据的两套遥感指标分类体系.通过不同分类方法的比较,确定了最佳分类方法一决策树分类法.通过对中国1995年和2001年的荒漠化动态变化状况进行了分析,结果表明,本文提出的荒漠化遥感监测方法,不仅能够成功地进行大尺度的荒漠化遥感监测,而且能够取得较好的监测效果.
英文摘要	Desertification is one of the most serious ecological and environmental problems in the west of China. Understanding the distribution and development trend of desertification provides researchers important scientific basis for desertification control and rehabilitation. In this paper the authors proposed a method suitable for large-scale desertification monitoring using remote sensing techniques. First, five desertification indexes(MSAVI, FVC, Albedo, LST and TVDI) suitable for large-scale desertification monitoring using remote sensing technique were selected. In terms of the desertification climate types, the potential extent of desertification in China was respectively divided into four categories: dry sub-humid areas, semi-arid areas, arid areas, high and cold areas. Second, different desertification index systems were built for each area. Then based on analysis and comparison of current retrieval algorithms, the authors utilized a suitable algorithm on large scale to retrieve five desertification indexes with ten-day NOAA/AVHRR data set in 1995 and 16-day MODIS data set in 2001 in China. By assessing the classification accuracies of three types of classifiers, the authors selected decision tree classifier for desertification monitoring. Supported by desertification index system and the database of desertification indexes, the desertification status in China in 1995 and 2001 was classified by decision tree classifier, and analysis of desertification changes from 1995 to 2001 was also completed. Statistical result showed that the speed of desertification development was faster than that of rehabilitation, there was a trend of development as a whole and improvement locally in desertificated areas in China. The desertification monitoring results confirmed the practicability of the method founded in this paper for desertification monitoring.
中文关键词	MODIS数据 ; NOAA/AVHRR数据 ; 荒漠化 ; 遥感监测
英文关键词	MODIS data NOAA/AVHRR data desertification remote sensing monitoring
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Agriculture
CSCD记录号	CSCD:3010285
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/221251
作者单位	1.中国土地勘测规划院, 国土资源部土地利用重点实验室, 北京 100035, 中国; 2.中国科学院遥感应用研究所, 北京 100101, 中国
推荐引用方式 GB/T 7714	刘爱霞,王长耀,王静,等. 基于MODIS和NOAA/AVHRR的荒漠化遥感监测方法[J],2007,23(10):145-150.
APA	刘爱霞,王长耀,王静,&邵晓梅.(2007).基于MODIS和NOAA/AVHRR的荒漠化遥感监测方法.,23(10),145-150.
MLA	刘爱霞,et al."基于MODIS和NOAA/AVHRR的荒漠化遥感监测方法".23.10(2007):145-150.