Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.net/journal/ars
E-mail: [email protected]
"Irrigation Scheduling Using Remote Sensing Data Assimilation Approach"
written by Baburao Kamble, Ayse Irmak, Kenneth Hubbard, Prasanna Gowda,
published by Advances in Remote Sensing, Vol.2 No.3, 2013
has been cited by the following article(s):
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[13] Evaluating the potential of using satellite earth observation data to quantify the contribution of riparian total evaporation to streamflow transmission losses.
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[14] Evaluation Of Irrigation Scheduling Strategies For Enhanced Irrigation Efficiency And Water Conservation–In Perkerra Irrigation Scheme, Kenya
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[17] Deep drainage modeling for a fertigated coffee plantation in the Brazilian savanna
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[18] A decade of remote sensing and evapotranspiration research at USDA-ARS Conservation and Production Research Laboratory
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[19] Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and SSEB Approaches
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[20] Water and heat regimes modelling for a vast territory using remote-sensing data
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[21] Evaluation of the Effectiveness of the Current Irrigation Scheduling Strategies in Perkerra Irrigation Scheme, Kenya
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[24] Determination of the Effectiveness of Irrigation Scheduling Strategy using CROPWAT Model for Maize Crop: Case study in Perkerra Irrigation Scheme, Kenya
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