摘要
为了快速分析湿地现状与变化特征,提高湿地遥感监测速率,本文采用GIS空间分析与ODBC数据库融合的二次开发技术,采取"动态单元格循环算法",结合动态度、分布密度等动态指标,实现了湿地现状与变化信息自动化分析,并在吉林省珲春地区开展了应用实践且取得良好效果。研究结果表明:C#+ArcEngine与ODBC数据库融合方法可以将空间计算转换为数据运算,能大大提高湿地数据统计与分析速率;动态单元格循环算法能实现面向动态单元对象的湿地分析;湿地分布密度、动态度等指标完全可以程序化,从而提高湿地监测效率。
In order to analyze the present situation of wetland and the variation characteristics quickly, as well as improve the remote sensing monitoring rate of wetland, this paper adopts the redevelopment technology of the fusion of GIS spatial analysis and ODBC database, then takes the "dynamic cell cycle algorithm", and combines with dynamic degree, distributed density and other dynamic indicators to achieve the wetland status and change information automation analysis. The paper carried out an application practice in Hunchun, Jilin Province, and achieved good results. The results show that C # ArcEngine and ODBC database fusion method can transform spatial computing into data operation, which can greatly improve the statistics and analysis rate of wetland data; dynamic cell cycle algorithm realizes wetland analysis for dynamic unit object; wetland distribution density, dynamic degree and other indicators can be programmed to improve the efficiency of wetland monitoring.
出处
《国土与自然资源研究》
2017年第3期24-27,共4页
Territory & Natural Resources Study
基金
全国边海防地区基础地质遥感调查(编号:DD20160076)
关键词
湿地
特征与变化信息
动态单元循环算法
自动分析系统
Wetland
Characteristics and change information
Dynamic cell cycle algorithm
Automatic analysis system