CFP last date
20 January 2025
Reseach Article

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
  1. Oliveria Thomasz, Oliveira Luciano, Carvakho Luis, Martinhago Adriana, Freitas Savio, “ Comparison of MODIS NDVI time series filtering by wavelets and Fourier analysis to generate vegetation signatures”, INPE 2009.
  2. Huihui Zhang, Yubin Lan, Ronald Lacey, W C Hoffmann, Yanbo Huang, “ Analysis of vegetation indices derived from aerial multi spectral and ground hyper spectral data”, IJABE, vol 2, No3, 2009.
  3. Sudhanshu Sekhar Panda, Daniel P Ames, Suranjan Panigrahi, “Application of vegetation indices for agricultural crop yield prediction using neutral network”, Remote Sensing 2010
  4. Shwetank, Jain Kamal, Bhatia K F, “Review of rice crop identification and classification using Hyper spectral image processing system”, IJSC vol. 1, No1, Jan 2010.
  5. Smith R B, “Introduction to hyper spectral imaging”, www.microimages.com.
  6. Susan M Schweizer, Jose M F Moura, “Efficient detection in hyper spectral imagery”, IEEE Transactions on Image processing, 10, no4, April 2001.
  7. Anshu Miglani, S S Roy, et al, “Evaluation of EO 1 hyperion data for agricultural applications”, j. Indian Soc. Remote Sensing Sept 2008.
  8. Boardman J W, Kruse F A, Green R O, “Mapping target signatures via partial un mixing of AVIRIS data in summaries, JPL publication 1995.
  9. Chen J M , et al, “Combat airbone spectrographic imager used for mapping biophysical parameters of boreal forests”, J Geophy Res. 1999.
  10. Zhang X, et al, “Monitoring vegetation phenology using MODIS”, Remote sensing of Environment, 2000.
  11. Zhang et al, “An advanced tool for real time crop monitoring in China”, IEEE international Geoscience and Remote sensing symposium, France 2003.
  12. Bruce L M, et al, “Denosing and wavelet based feature extraction of MODIS multi temporal vegetation signatures”, GI science and remote sensing 2006.
  13. Zhu Liang, WU Bing – Fang, Zhou Yue Min, meng Ji Hua, Zhang Ming, “A study on fast estimation of vegetation fraction in three Georges immigration area using SPOT5 imagery”, International archives of photogrammetry, remote sensing and spatial information sciences, 2008.
  14. Kempeneers P, Ded Backer, Debruyn W, Scheunders P, “Wavelet based feature extraction for hyper spectral vegetation monitoring”, IJRS 2005.
  15. G A Carter, “Ratios of leaf reflectance in narrow wave bands as indicators of plant stress” I J RS 1994.
Index Terms

Computer Science
Information Sciences

Keywords

NDVI LAI