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Image Processing Techniques for Vegetation Study - Retrospective

Published on None 2011 by Shajimon K John, Dr. T K Mani
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 17
None 2011
Authors: Shajimon K John, Dr. T K Mani
c5b1ed81-d781-466f-9bb9-458222d43a06

Shajimon K John, Dr. T K Mani . Image Processing Techniques for Vegetation Study - Retrospective. International Conference on VLSI, Communication & Instrumentation. ICVCI, 17 (None 2011), 42-44.

@article{
author = { Shajimon K John, Dr. T K Mani },
title = { Image Processing Techniques for Vegetation Study - Retrospective },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 17 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 42-44 },
numpages = 3,
url = { /proceedings/icvci/number17/2772-1692/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Shajimon K John
%A Dr. T K Mani
%T Image Processing Techniques for Vegetation Study - Retrospective
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 17
%P 42-44
%D 2011
%I International Journal of Computer Applications
Abstract

Vegetation studies helps to develop a profile on extensive areas affected by vegetation changes. Image processing techniques does manipulation of digital images for various applications. The satellite image processing is increasingly used for vegetation mapping. Now a day‟s both multi spectral sensors and hyper spectral sensors are used for vegetation monitoring.

References
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Index Terms

Computer Science
Information Sciences

Keywords

NDVI LAI