文献类型：期刊文献

中文题名：荒漠化和沙化监测数据动态分析技术!

英文题名：Dynamic analysis technique of desertification and sandification monitoring data

作者：孙伟[1,2] 侯瑞霞[1] 唐小明[1]

第一作者：孙伟

机构：[1]中国林业科学研究院资源信息研究所;[2]新疆农业大学计算机与信息工程学院

年份：2012

卷号：34

期号：5

起止页码：105-112

中文期刊名：北京林业大学学报

外文期刊名：Journal of Beijing Forestry University

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2011_2012】；

基金：中央级公益性科研院所基本科研业务费专项(CAFYBB2008002)

语种：中文

中文关键词：荒漠化;沙化;监测数据;动态分析

外文关键词：desertification； sandification； monitoring data； dynamic analysis

分类号：S717.1

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。
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.