A RS/GIS-Based System for Monitoring Weed Disasters

文献类型： 外文期刊

第一作者： Sun, Ling

作者： Sun, Ling;Zhu, Zesheng

作者机构：

关键词： weed disaster;monitoring;remote sensing;data fusion

期刊名称：2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2012 年

页码：

收录情况： SCI

摘要： The main obstacle for monitoring weed disasters is how the information from RS and GIS associates with weed disaster modeling. In the information representing physical and logical fusion objects subject to weed disaster monitoring, we analyze a system architecture model for solving the related design issues, including area and type estimation of weed disaster. Besides the information or data fusion, we use the model as a tool of data fusion to avoid the parameter estimation problems in complex environments. Most surprisingly, externally gathered data from local statistics sensors can be entered into a GIS along with the imagery data for increasing the precision of weed disaster modeling.

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