Spectral Crop Coefficient Approach for Estimating Daily Crop Water Use

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Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
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"Spectral Crop Coefficient Approach for Estimating Daily Crop Water Use"
written by Nithya Rajan, Stephan J. Maas,
published by Advances in Remote Sensing, Vol.3 No.3, 2014

has been cited by the following article(s):

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[2]	Simulation of dryland maize growth and evapotranspiration using DSSAT‐CERES‐Maize model
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[3]	Estimation of Crop Water Deficit in Lower Bari Doab, Pakistan Using Reflection-Based Crop Coefficient
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[4]	Perceptions of Sustainable Textiles: AQ Methodological Approach
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[8]	Assessing crop virtual water content under non-standard growing conditions using Budyko framework
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[9]	An Interactive Diagnostic Application for Food Crop Irrigation
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[10]	Working with water: An exploration of Texas high plains producers' adoption of water conservation practices in irrigation management
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[11]	Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning
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[12]	WORKING WITH WATER: AN EXPLORATION OF TEXAS HIGH PLAINS PRODUCERS'ADOPTION OF WATER CONSERVATION PRACTICES IN IRRIGATION …
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[13]	Within-Season Growth and Spectral Reflectance of Cotton and their Relation to Lint Yield
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[14]	Within‐season growth and spectral reflectance of cotton and their relation to lint yield
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[15]	Yield, Quality, and Spectral Reflectance Responses of Cotton under Subsurface Drip Irrigation
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[16]	MODELING COTTON AND WINTER WHEAT GROWTH AND YIELD RESPONSES TO IRRIGATION MANAGEMENT IN THE TEXAS HIGH PLAINS AND ROLLING PLAINS
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[17]	MODELING COTTON AND WINTER WHEAT GROWTH AND YIELD RESPONSES TO IRRIGATION MANAGEMENT IN THE TEXAS HIGH PLAINS AND …
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[1]	Effects of plant spacing on evapotranspiration for estimating crop coefficient of Japonica rice E3S Web of Conferences, 2023 DOI:10.1051/e3sconf/202344404040

[2]	Simulation of dryland maize growth and evapotranspiration using DSSAT‐CERES‐Maize model Agronomy Journal, 2021 DOI:10.1002/agj2.20524

[3]	A paradigm of GIS and remote sensing for crop water deficit assessment in near real time to improve irrigation distribution plan Agricultural Water Management, 2021 DOI:10.1016/j.agwat.2020.106443

[4]	Simulation of dryland maize growth and evapotranspiration using DSSAT‐CERES‐Maize model Agronomy Journal, 2021 DOI:10.1002/agj2.20524

[5]	Estimation of Crop Water Deficit in Lower Bari Doab, Pakistan Using Reflection-Based Crop Coefficient ISPRS International Journal of Geo-Information, 2020 DOI:10.3390/ijgi9030173

[6]	Seasonal variability of evapotranspiration and carbon exchanges over a biomass sorghum field in the Southern U.S. Great Plains Biomass and Bioenergy, 2017 DOI:10.1016/j.biombioe.2017.07.021

[7]	Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning Agricultural Water Management, 2017 DOI:10.1016/j.agwat.2016.07.027

[8]	Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration Lecture Notes in Computer Science, 2017 DOI:10.1007/978-3-319-58524-6_18

[9]	Seasonal variability of evapotranspiration and carbon exchanges over a biomass sorghum field in the Southern U.S. Great Plains Biomass and Bioenergy, 2017 DOI:10.1016/j.biombioe.2017.07.021

[10]	Assessing crop virtual water content under non-standard growing conditions using Budyko framework Resources, Conservation and Recycling, 2017 DOI:10.1016/j.resconrec.2017.08.009

[11]	Within-Season Growth and Spectral Reflectance of Cotton and their Relation to Lint Yield Crop Science, 2016 DOI:10.2135/cropsci2015.05.0296

[12]	Within‐Season Growth and Spectral Reflectance of Cotton and their Relation to Lint Yield Crop Science, 2016 DOI:10.2135/cropsci2015.05.0296

[13]	Yield, Quality, and Spectral Reflectance Responses of Cotton under Subsurface Drip Irrigation Agronomy Journal, 2015 DOI:10.2134/agronj14.0502

[14]	Yield, Quality, and Spectral Reflectance Responses of Cotton under Subsurface Drip Irrigation Agronomy Journal, 2015 DOI:10.2134/agronj14.0502

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