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

Author

Kumar, Sudhakar ; Anouncia, M. ; Johnson, Stanley ; Agarwal, Abhishek ; Dwivedi, P.

fYear

2012

fDate

21-22 Dec. 2012

Firstpage

54

Lastpage

57

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, Communication and Computing (ICRCC), 2012 International Conference on

Conference_Location

Tiruvannamalai

Print_ISBN

978-1-4673-2756-5

Type

conf

DOI

10.1109/ICRCC.2012.6450547

Filename

6450547