Title :
A RS/GIS-based system for monitoring weed disasters
Author :
Sun, Ling ; Zhu, Zesheng
Author_Institution :
Resource Environ. Inst., JiangSu Acad. of Agric. Sci., Nanjing, China
Abstract :
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.
Keywords :
geographic information systems; geophysical techniques; remote sensing; sensor fusion; vegetation; GIS-based system; RS-based system; data fusion; design issue; imagery data; local statistics sensors; logical fusion objects; parameter estimation problem; physical fusion objects; system architecture model; weed disaster estimation; weed disaster modeling; weed disaster monitoring; Computer architecture; Data models; Monitoring; Remote sensing; Sensors; Target tracking; data fusion; monitoring; remote sensing; weed disaster;
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
DOI :
10.1109/Agro-Geoinformatics.2012.6311681
