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	荒漠化和沙化监测数据动态分析技术
其他题名	Dynamic analysis technique of desertification and sandification monitoring data
	孙伟; 侯瑞霞; 唐小明
来源期刊	北京林业大学学报
ISSN	1000-1522
出版年	2012
卷号	34 期号:5 页码:105-112
中文摘要	我国定期开展的荒漠化和沙化监测积累了海量监测数据,提取其动态变化信息以探索荒漠化和沙化演替规律至关重要。本文针对现有动态分析方法的不足,提出了动态分析解决方案和技术框架,通过支撑数据库和动态数据库构建技术,确保了多期监测海量多专题数据的可比性及其动态分析的准确性和效率,同时利用全国第3期和第4期监测数据,基于组件式GIS多层架构建立了简易实用的动态分析程序系统。结果表明,本文提出的动态分析技术有效可行,且具有一定的可推广性。
英文摘要	Desertification and sandification monitoring was carried out regularly in China,and a large amount of monitoring data was accumulated. It is critical to explore the law of succession of desertification and sandification by extracting its dynamic information. A dynamic analysis solution and technique framework of desertification and sandification monitoring data was proposed to avoid the weak points of existing dynamic analysis methods. And then,the auxiliary database and dynamic database were constructed to ensure the comparability of mass multi-period and multi-thematic monitoring data and the accuracy and efficiency of dynamic analysis. Meanwhile,a simple and practical dynamic analysis program system based on the multi-tier architecture of component GIS was developed by utilizing the third and fourth national monitoring data. The results show that the dynamic analysis technique is effective and feasible and has the characteristics of general applicability and replicability to some extent.
中文关键词	荒漠化 ; 沙化 ; 监测数据 ; 动态分析
英文关键词	desertification sandification monitoring data dynamic analysis
语种	中文
国家	中国
收录类别	CSCD
WOS类目	FORESTRY
WOS研究方向	Forestry
CSCD记录号	CSCD:4637634
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/227705
作者单位	中国林业科学研究院资源信息研究所
推荐引用方式 GB/T 7714	孙伟,侯瑞霞,唐小明. 荒漠化和沙化监测数据动态分析技术[J],2012,34(5):105-112.
APA	孙伟,侯瑞霞,&唐小明.(2012).荒漠化和沙化监测数据动态分析技术.北京林业大学学报,34(5),105-112.
MLA	孙伟,et al."荒漠化和沙化监测数据动态分析技术".北京林业大学学报 34.5(2012):105-112.