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

fYear

2012

fDate

2-4 Aug. 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/Agro-Geoinformatics.2012.6311681

Filename

6311681