Satellite-Based Energy Balance to Assess Within-Population Variance of Crop Coefficient Curves
- 1 February 2005
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Irrigation and Drainage Engineering
- Vol. 131 (1) , 94-109
- https://doi.org/10.1061/(asce)0733-9437(2005)131:1(94)
Abstract
Quantifying evapotranspiration (ET) from agricultural fields is important for field water management, water resources planning, and water regulation. Traditionally, ET from agricultural fields has been estimated by multiplying the weather-based reference ET by crop coefficients ( Kc ) determined according to the crop type and the crop growth stage. Recent development of satellite remote sensing ET models has enabled us to estimate ET and Kc for large populations of fields. This study evaluated the distribution of Kc over space and time for a large number of individual fields by crop type using ET maps created by a satellite based energy balance (EB) model. Variation of Kc curves was found to be substantially larger than that for the normalized difference vegetation index because of the impacts of random wetting events on Kc , especially during initial and development growth stages. Two traditional Kc curves that are widely used in Idaho for crop management and water rights regulation were compared against...This publication has 21 references indexed in Scilit:
- SEBAL Model with Remotely Sensed Data to Improve Water-Resources Management under Actual Field ConditionsJournal of Irrigation and Drainage Engineering, 2005
- FAO-56 Dual Crop Coefficient Method for Estimating Evaporation from Soil and Application ExtensionsJournal of Irrigation and Drainage Engineering, 2005
- SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, TurkeyJournal of Hydrology, 2000
- Irrigation Performance Indicators Based on Remotely Sensed Data: a Review of LiteratureIrrigation and Drainage Systems, 1999
- A remote sensing surface energy balance algorithm for land (SEBAL).Journal of Hydrology, 1998
- A remote sensing surface energy balance algorithm for land (SEBAL). 1. FormulationJournal of Hydrology, 1998
- Assessing Integrity of Weather Data for Reference Evapotranspiration EstimationJournal of Irrigation and Drainage Engineering, 1996
- Remote sensing of crop coefficients for improving the irrigation scheduling of cornAgricultural Water Management, 1995
- Soil background effects on reflectance-based crop coefficients for cornRemote Sensing of Environment, 1993
- spectral Inputs Improve Corn Crop Coefficients and Irrigation SchedulingTransactions of the ASAE, 1990