Title :
Agriculture change detection model using remote sensing images and GIS: Study area Vellore
Author :
Kumar, Sudhakar ; Anouncia, M. ; Johnson, Stanley ; Agarwal, Abhishek ; Dwivedi, P.
Abstract :
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.
Keywords :
agriculture; geographic information systems; geophysical image processing; image classification; object detection; remote sensing; support vector machines; GIS; SVM classification; Vellore district; agricultural characteristics preservation; agriculture change detection model; geographic area; geographic information system; knowledge base; remote sensing images; vegetation change; Agriculture; Cities and towns; Educational institutions; Remote sensing; Satellites; Support vector machines; Vegetation mapping; GIS; Image Processing; Remote Sensing; SVM classification;
Conference_Titel :
Radar, Communication and Computing (ICRCC), 2012 International Conference on
Conference_Location :
Tiruvannamalai
Print_ISBN :
978-1-4673-2756-5
DOI :
10.1109/ICRCC.2012.6450547
