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Proceedings Paper

Estimation of crop coefficients by means of optimized vegetation indices for corn
Author(s): Jose Gonzalez-Piqueras; Alfonso Calera; Maria Amparo Gilabert; Andres Cuesta; Fernando De la Cruz Tercero
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Paper Abstract

A linear relationship between NDVI and basal crop coefficient (Kcb) allows to compute the spectral crop coefficient (Krcb). Due to the influence of soil variations varying surface humidity on NDVI, five soil optimized indices have been used to obtain a linear relationship normalized for soil background effect (SAVI, OSAVI, TSAVI, MSAVI and GESAVI). Data used on this work have been obtained from a field campaign for corn in the area of Barrax (Spain), describing crop growth stages with green fraction cover (GFC), and leaf area index (LAI). SAVI with optimized factor L set to 0.5 is a good estimator of Krcb from sparse to dense vegetation, nevertheless the soil line based index ( GESAVI) due to a wider range of variation are more sensitive to leaf variations at high levels of vegetation amount. Spectral crop coefficients obtained from SAVI and soil line based GESAVI are sensitive to crop hazards by weather anomalies and estimates in real time the basal crop coefficients to estimate the amount of water removed by the crop from the active root zone.

Paper Details

Date Published: 24 February 2004
PDF: 9 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.511317
Show Author Affiliations
Jose Gonzalez-Piqueras, Univ. de Castilla-La Mancha (Spain)
Alfonso Calera, Univ. de Castilla-La Mancha (Spain)
Maria Amparo Gilabert, Univ. de Valencia (Spain)
Andres Cuesta, Univ. de Castilla-La Mancha (Spain)
Fernando De la Cruz Tercero, Univ. de Castilla-La Mancha (Spain)


Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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