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Geocarto International Volume 14, 1999 - Issue 4
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Original Articles

Multi‐Season Atmospheric Normalization of NOAA AVHRR Derived NDVI for Crop Yield Modeling

M. B. Potdar Space Applications Center, Ahmedabad, 380 053, India
,
K. R. Manjunath Space Applications Center, Ahmedabad, 380 053, India
&
N. L. Purohit State Remote Sensing Applications Centre, Jodhpur, 342 003, India
Pages 52-57 | Published online: 02 Jan 2008
 
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Abstract

A methodology has been developed to normalize the multi‐temporal NDVIs derived from NOAA AVHRR data for the atmospheric effects to the least affected NDVI for development of spectral and spectrometeorological (or spectromet, for short) crop yield models. This is found to reduce the noise in NDVI due to varying atmospheric conditions from season to season and improve the predictability of statistical multiple linear regression yield models. The spectromet yield models for mustard crop in the nine districts of Rajasthan state haven been developed based on normalized NDVIs and have been validated by comparing the predicted yields with the estimated from crop cutting experiments by the state Development of Agriculture.

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