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Empirical Modelling for Retrieval of Foliar Traits in Cotton Crop using Spatial Data


Affiliations
1 Ecophysiology and RS-GIS Lab, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara - 390 002, India
 

The present study conducted in cotton fields of Vadodara district, Gujarat, India during kharif season of 2009-10, aimed at assessing foliar traits, in particular crop leaf area index (LAI) and chlorophyll content (CC) from space-borne optical LANDSAT 5 TM and IRS LISS-IV satellite data. Field measurements of these foliar traits coinciding with the dates of the satellite data for cotton were used for validation of RSbased VI-LAI and VI-CC empirical models developed in the present study. These models developed for LAI estimation in cotton crop showed good correlation with R2 varying from 0.592 to 0.805, and CC between 0.585 and 0.746 with P at 0.01 level in both cases. It has been observed that the potential of NDVI-LAI and NDVI-CC empirical models was better compared to RVI-LAI and RVI-CC models. The VI-LAI and VI-CC models derived from LISS-IV data were better estimators of LAI compared to LANDSAT. A high R2 value between ground-measured foliar traits and those predicted using empirical models complemented the validation.

Keywords

Cotton Crop, Empirical Models, Foliar Trait, Spatial Data.
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  • Empirical Modelling for Retrieval of Foliar Traits in Cotton Crop using Spatial Data

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Authors

Ramandeep Kaur M. Malhi
Ecophysiology and RS-GIS Lab, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara - 390 002, India
G. Sandhya Kiran
Ecophysiology and RS-GIS Lab, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara - 390 002, India

Abstract


The present study conducted in cotton fields of Vadodara district, Gujarat, India during kharif season of 2009-10, aimed at assessing foliar traits, in particular crop leaf area index (LAI) and chlorophyll content (CC) from space-borne optical LANDSAT 5 TM and IRS LISS-IV satellite data. Field measurements of these foliar traits coinciding with the dates of the satellite data for cotton were used for validation of RSbased VI-LAI and VI-CC empirical models developed in the present study. These models developed for LAI estimation in cotton crop showed good correlation with R2 varying from 0.592 to 0.805, and CC between 0.585 and 0.746 with P at 0.01 level in both cases. It has been observed that the potential of NDVI-LAI and NDVI-CC empirical models was better compared to RVI-LAI and RVI-CC models. The VI-LAI and VI-CC models derived from LISS-IV data were better estimators of LAI compared to LANDSAT. A high R2 value between ground-measured foliar traits and those predicted using empirical models complemented the validation.

Keywords


Cotton Crop, Empirical Models, Foliar Trait, Spatial Data.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi12%2F2089-2096