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Westerhoff, R.S. (2015) Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates. Remote Sensing of Environment, 169. 102-112 doi:10.1016/j.rse.2015.07.021

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Reference TypeJournal (article/letter/editorial)
TitleUsing uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates
JournalRemote Sensing of Environment
AuthorsWesterhoff, R.S.Author
Year2015 (November)Volume169
PublisherElsevier BV
DOIdoi:10.1016/j.rse.2015.07.021Search in ResearchGate
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Mindat Ref. ID9441317Long-form Identifiermindat:1:5:9441317:3
GUID0
Full ReferenceWesterhoff, R.S. (2015) Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates. Remote Sensing of Environment, 169. 102-112 doi:10.1016/j.rse.2015.07.021
Plain TextWesterhoff, R.S. (2015) Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates. Remote Sensing of Environment, 169. 102-112 doi:10.1016/j.rse.2015.07.021
In(n.d.) Remote Sensing of Environment Vol. 169. Elsevier BV

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Raoufi, Roozbeh, Beighley, Edward (2017) Estimating Daily Global Evapotranspiration Using Penman–Monteith Equation and Remotely Sensed Land Surface Temperature. Remote Sensing, 9 (11). doi:10.3390/rs9111138
Dhungel, Ramesh, Allen, Richard, Trezza, Ricardo, Robison, Clarence (2014) Comparison of Latent Heat Flux Using Aerodynamic Methods and Using the Penman–Monteith Method with Satellite-Based Surface Energy Balance. Remote Sensing, 6 (9). doi:10.3390/rs6098844
Beven, Keith (1979) A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates. Journal of Hydrology, 44 (3). 169-190 doi:10.1016/0022-1694(79)90130-6
Choudhury, B (1997) Global pattern of potential evaporation calculated from the Penman-Monteith equation using satellite and assimilated data. Remote Sensing of Environment, 61 (1). 64-81 doi:10.1016/s0034-4257(96)00241-6
Teixeira, AntĂ´nio H. de C. (2010) Determining Regional Actual Evapotranspiration of Irrigated Crops and Natural Vegetation in the SĂŁo Francisco River Basin (Brazil) Using Remote Sensing and Penman-Monteith Equation. Remote Sensing, 2 (5). doi:10.3390/rs0251287
Majozi, Nobuhle, Mannaerts, Chris, Ramoelo, Abel, Mathieu, Renaud, Verhoef, Wouter (2021) Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman–Monteith Model to Meteorological and Land Surface Input Variables. Remote Sensing, 13 (5). doi:10.3390/rs13050882
García-Gutiérrez, Víctor, Stöckle, Claudio, Gil, Pilar Macarena, Meza, Francisco Javier (2021) Evaluation of Penman-Monteith Model Based on Sentinel-2 Data for the Estimation of Actual Evapotranspiration in Vineyards. Remote Sensing, 13 (3). doi:10.3390/rs13030478
Otles, Zekai, Gutowski, W. J. (2005) Atmospheric Stability Effects on Penman-Monteith Evapotranspiration Estimates. Pure and Applied Geophysics, 162 (11) 2239-2254 doi:10.1007/s00024-005-2713-8
Sumner, David M., Jacobs, Jennifer M. (2005) Utility of Penman–Monteith, Priestley–Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration. Journal of Hydrology, 308 (1). 81-104 doi:10.1016/j.jhydrol.2004.10.023
Akumaga, Uvirkaa, Alderman, Phillip D. (2019) Comparison of Penman-Monteith and Priestley-Taylor Evapotranspiration Methods for Crop Modeling in Oklahoma. Agronomy Journal, 111. 1171-1180 doi:10.2134/agronj2018.10.0694
Liu, Yan, Zhang, Sha, Zhang, Jiahua, Tang, Lili, Bai, Yun (2021) Using Artificial Neural Network Algorithm and Remote Sensing Vegetation Index Improves the Accuracy of the Penman-Monteith Equation to Estimate Cropland Evapotranspiration. Applied Sciences, 11 (18) 8649pp. doi:10.3390/app11188649
 
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