Agriculture change detection model using remote sensing images and GIS: Study area Vellore

Changes in the vegetation of any geographic area is seen constantly. In order to ensure the preservation of these agricultural characteristics, the changes are detected to build knowledge base. This research aims at calculating the agricultural changes near Vellore district using LANDSAT and images...

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Bibliographic Details
Main Authors: Kumar, S., Anouncia, M., Johnson, S., Agarwal, A., Dwivedi, P.
Format: Conference Proceeding
Language:English
Subjects:
Agriculture
Cities and towns
Educational institutions
GIS
Image Processing
Remote sensing
Satellites
Support vector machines
SVM classification
Vegetation mapping
Online Access:Request full text
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Summary:Changes in the vegetation of any geographic area is seen constantly. In order to ensure the preservation of these agricultural characteristics, the changes are detected to build knowledge base. This research aims at calculating the agricultural changes near Vellore district using LANDSAT and images taken from 2003-2009. SVM classification is the method used for obtaining the results.
DOI:10.1109/ICRCC.2012.6450547