Applied and Natural Science Foundation
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Journal of Applied and Natural Science
An International Journal | Print ISSN: 0974-9411 | Online ISSN: 2231-5209
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Journal of Applied and Natural Science 7 (2): 874-879 (2015)
Vegetation indices mapping for Bhiwani district of Haryana (India) through LANDSAT-7ETM+ and remote sensing techniques
A.Bala1,3, K.S.Rawat2, A. Misra3, A. Srivastava3
1Department of Civil Engineering, World College of Technology & Management, Gurgaon, INDIA
2Centre for Remote Sensing and Geo-Informatics, Sathyabama University, Chennai-(T.N.), INDIA
3Department of Civil Engineering, The Northcap University (Formerly ITM University), Gurgaon, INDIA
*Corresponding author. E-mail:
Abstract : This study describes the VIs Vegetation Condition Index in term of vegetation health of wheat crop; with help of LANDSAT-7ETM+ data based NDVI and LAI for Bhiwani District of Haryana states (India) and gave the spatial development pattern of wheat crop in year 2005 over the study area of India. NDVI is found to vary from 0.3 to 0.8. In northern and southern parts of study area NDVI varied from 0.6 to 0.7 but in western part of Bhiwani showed NDVI 0.2 to 0.4 due to fertility of soil and well canal destitution. LAI showed variation from 1 to 6 according to the health of crop as the same manner of NDVI because LAI VI is NDVI dependent only change the manner of representation of vegetation health, due to this fact relation curve (r2=) between NDVI and LAI of four different growing date of sates are in successively increasing order 0.509, 0.563, 0.577 and 0.719. The study reveals that VIs can be mapped with LANDSAT-7ETM+ through remote sensing, which can be further used for many studies like crop yield or estimating evaptranspiration on regional basis for water management because satellite observations provide better spatial and temporal coverage, the VIs based system will provide efficient tools for monitoring health of crop for improvement of agricultural planning. VIs based monitoring will serve as a prototype in the other parts of the world where ground observations are limited or not available.

Keywords : Evapotranpiration, Remote Sensing, Vegetation Indices (VIs)
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