23.2.14.1 Specific Site Evapotranspiration Analyusis

Chapter Contents (Back)
Evapotranspiration. Remote Sensing.
See also Evapotranspiration, Evaporation, Remote Sensing.

Ruhoff, A., Paz, A., Collischonn, W., Aragao, L., Rocha, H., Malhi, Y.,
A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical-Savannas,
RS(4), No. 3, March 2012, pp. 703-725;.
DOI Link 1204
BibRef

Trezza, R.[Ricardo], Allen, R.G.[Richard G.], Tasumi, M.[Masahiro],
Estimation of Actual Evapotranspiration along the Middle Rio Grande of New Mexico Using MODIS and Landsat Imagery with the METRIC Model,
RS(5), No. 10, 2013, pp. 5397-5423.
DOI Link 1311
BibRef

Singh, R.K.[Ramesh K.], Senay, G.B.[Gabriel B.], Velpuri, N.M.[Naga M.], Bohms, S.[Stefanie], Scott, R.L.[Russell L.], Verdin, J.P.[James P.],
Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution Using the Operational Simplified Surface Energy Balance Model,
RS(6), No. 1, 2013, pp. 233-256.
DOI Link 1402
BibRef

Senay, G.B.[Gabriel B.], Parrish, G.E.L.[Gabriel E. L.], Schauer, M.[Matthew], Friedrichs, M.[MacKenzie], Khand, K.[Kul], Boiko, O.[Olena], Kagone, S.[Stefanie], Dittmeier, R.[Ray], Arab, S.[Saeed], Ji, L.[Lei],
Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Singh, R.K.[Ramesh K.], Senay, G.B.[Gabriel B.], Velpuri, N.M.[Naga M.], Bohms, S.[Stefanie], Verdin, J.P.[James P.],
On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates,
RS(6), No. 11, 2014, pp. 10483-10509.
DOI Link 1412
BibRef

Jin, X.M.[Xiao-Mei], Guo, R.H.[Ren-Hong], Xia, W.[Wei],
Distribution of Actual Evapotranspiration over Qaidam Basin, an Arid Area in China,
RS(5), No. 12, 2013, pp. 6976-6996.
DOI Link 1402
BibRef

Yang, Y.M.[Yan-Min], Yang, Y.H.[Yong-Hui], Liu, D.L.[De-Li], Nordblom, T.[Tom], Wu, B.F.[Bing-Fang], Yan, N.[Nana],
Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China,
RS(6), No. 3, 2014, pp. 2514-2533.
DOI Link 1404
BibRef

Wu, C.Y.[Chao-Yang], Gaumont-Guay, D.[David], Black, T.A.[T. Andrew], Jassal, R.S.[Rachhpal S.], Xu, S.G.[Shi-Guang], Chen, J.M.[Jing M.], Gonsamo, A.[Alemu],
Soil respiration mapped by exclusively use of MODIS data for forest landscapes of Saskatchewan, Canada,
PandRS(94), No. 1, 2014, pp. 80-90.
Elsevier DOI 1407
Soil respiration BibRef

Alemu, H.[Henok], Senay, G.B.[Gabriel B.], Kaptue, A.T.[Armel T.], Kovalskyy, V.[Valeriy],
Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002-2011,
RS(6), No. 7, 2014, pp. 5885-5908.
DOI Link 1408
BibRef

Ramoelo, A.[Abel], Majozi, N.[Nobuhle], Mathieu, R.[Renaud], Jovanovic, N.[Nebo], Nickless, A.[Alecia], Dzikiti, S.[Sebinasi],
Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa,
RS(6), No. 8, 2014, pp. 7406-7423.
DOI Link 1410
BibRef

Li, Z.S.[Zhan-Sheng], Jia, L.[Li], Lu, J.[Jing],
On Uncertainties of the Priestley-Taylor/LST-Fc Feature Space Method to Estimate Evapotranspiration: Case Study in an Arid/Semiarid Region in Northwest China,
RS(7), No. 1, 2014, pp. 447-466.
DOI Link 1502
BibRef

Ceron, C.N.[Cristobal N.], Melesse, A.M.[Assefa M.], Price, R.[René], Dessu, S.B.[Shimelis B.], Kandel, H.P.[Hari P.],
Operational Actual Wetland Evapotranspiration Estimation for South Florida Using MODIS Imagery,
RS(7), No. 4, 2015, pp. 3613-3632.
DOI Link 1505
BibRef

Li, A.[Ainong], Zhao, W.[Wei], Deng, W.[Wei],
A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-Based Estimates of Land Surface Evapotranspiration in South Asia,
RS(7), No. 4, 2015, pp. 4726-4752.
DOI Link 1505
BibRef

Li, X.[Xing], He, B.B.[Bin-Bin], Quan, X.W.[Xing-Wen], Liao, Z.M.[Zhan-Mang], Bai, X.J.[Xiao-Jing],
Use of the Standardized Precipitation Evapotranspiration Index (SPEI) to Characterize the Drying Trend in Southwest China from 1982-2012,
RS(7), No. 8, 2015, pp. 10917.
DOI Link 1509
BibRef

Tian, X.[Xin], van der Tol, C.[Christiaan], Su, Z.B.[Zhong-Bo], Li, Z.Y.[Zeng-Yuan], Chen, E.[Erxue], Li, X.[Xin], Yan, M.[Min], Chen, X.L.[Xue-Long], Wang, X.F.[Xu-Feng], Pan, X.[Xiaoduo], Ling, F.L.[Fei-Long], Li, C.M.[Chun-Mei], Fan, W.W.[Wen-Wu], Li, L.H.[Long-Hui],
Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains,
RS(7), No. 12, 2015, pp. 15806.
DOI Link 1601
BibRef

Carrillo-Rojas, G.[Galo], Silva, B.[Brenner], Córdova, M.[Mario], Célleri, R.[Rolando], Bendix, J.[Jörg],
Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador,
RS(8), No. 2, 2016, pp. 160.
DOI Link 1603
BibRef

Lee, Y.G.[Yong-Gwan], Kim, S.[Seongjoon],
The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data,
RS(8), No. 12, 2016, pp. 983.
DOI Link 1612
BibRef

Numata, I.[Izaya], Khand, K.[Kul], Kjaersgaard, J.[Jeppe], Cochrane, M.A.[Mark A.], Silva, S.S.[Sonaira S.],
Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Khand, K.[Kul], Numata, I.[Izaya], Kjaersgaard, J.[Jeppe], Vourlitis, G.L.[George L.],
Dry Season Evapotranspiration Dynamics over Human-Impacted Landscapes in the Southern Amazon Using the Landsat-Based METRIC Model,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Anderson, M.[Martha], Diak, G.[George], Gao, F.[Feng], Knipper, K.[Kyle], Hain, C.[Christopher], Eichelmann, E.[Elke], Hemes, K.S.[Kyle S.], Baldocchi, D.[Dennis], Kustas, W.[William], Yang, Y.[Yun],
Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Majozi, N.P.[Nobuhle P.], Mannaerts, C.M.[Chris M.], Ramoelo, A.[Abel], Mathieu, R.[Renaud], Mudau, A.E.[Azwitamisi E.], Verhoef, W.[Wouter],
An Intercomparison of Satellite-Based Daily Evapotranspiration Estimates under Different Eco-Climatic Regions in South Africa,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Alemayehu, T.[Tadesse], van Griensven, A.[Ann], Senay, G.B.[Gabriel B.], Bauwens, W.[Willy],
Evapotranspiration Mapping in a Heterogeneous Landscape Using Remote Sensing and Global Weather Datasets: Application to the Mara Basin, East Africa,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Olivera-Guerra, L., Mattar, C., Merlin, O., Durán-Alarcón, C., Santamaría-Artigas, A., Fuster, R.,
An operational method for the disaggregation of land surface temperature to estimate actual evapotranspiration in the arid region of Chile,
PandRS(128), No. 1, 2017, pp. 170-181.
Elsevier DOI 1706
LST BibRef

Zhang, L.L.[Li-Lin], Yao, Y.J.[Yun-Jun], Wang, Z.Q.[Zhi-Qiang], Jia, K.[Kun], Zhang, X.T.[Xiao-Tong], Zhang, Y.[Yuhu], Wang, X.Y.[Xuan-Yu], Xu, J.[Jia], Chen, X.W.[Xiao-Wei],
Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Reitz, M.[Meredith], Senay, G.B.[Gabriel B.], Sanford, W.E.[Ward E.],
Combining Remote Sensing and Water-Balance Evapotranspiration Estimates for the Conterminous United States,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhang, X.[Xunhe], Wang, N.[Nai'ang], Xie, Z.[Zunyi], Ma, X.L.[Xuan-Long], Huete, A.[Alfredo],
Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Yan, N.[Nana], Tian, F.[Fuyou], Wu, B.F.[Bing-Fang], Zhu, W.W.[Wei-Wei], Yu, M.Z.[Ming-Zhao],
Spatiotemporal Analysis of Actual Evapotranspiration and Its Causes in the Hai Basin,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Kundu, S.[Sananda], Mondal, A.[Arun], Khare, D.[Deepak], Hain, C.[Christopher], Lakshmi, V.[Venkat],
Projecting Climate and Land Use Change Impacts on Actual Evapotranspiration for the Narmada River Basin in Central India in the Future,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Oliveira, B.S.[Bruno Silva], Moraes, E.C.[Elisabete Caria], Carrasco-Benavides, M.[Marcos], Bertani, G.[Gabriel], Mataveli, G.A.V.[Guilherme Augusto Verola],
Improved Albedo Estimates Implemented in the METRIC Model for Modeling Energy Balance Fluxes and Evapotranspiration over Agricultural and Natural Areas in the Brazilian Cerrado,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Li, S.J.[Shi-Jie], Wang, G.J.[Guo-Jie], Sun, S.L.[Shan-Lei], Chen, H.S.[Hai-Shan], Bai, P.[Peng], Zhou, S.J.[Shu-Jia], Huang, Y.[Yong], Wang, J.[Jie], Deng, P.[Peng],
Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Hu, H.C.[Hong-Chang], Chen, L.J.[La-Jiao], Liu, H.[Hui], Khan, M.Y.A.[Mohd Yawar Ali], Tie, Q.A.[Qi-Ang], Zhang, X.J.[Xue-Jun], Tian, F.Q.[Fu-Qiang],
Comparison of the Vegetation Effect on ET Partitioning Based on Eddy Covariance Method at Five Different Sites of Northern China,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
evapotranspiration. BibRef

Zheng, C.L.[Chao-Lei], Jia, L.[Li], Hu, G.C.[Guang-Cheng], Lu, J.[Jing],
Earth Observations-Based Evapotranspiration in Northeastern Thailand,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Jung, H.C.[Hahn Chul], Getirana, A.[Augusto], Arsenault, K.R.[Kristi R.], Holmes, T.R.H.[Thomas R.H.], McNally, A.[Amy],
Uncertainties in Evapotranspiration Estimates over West Africa,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Lu, Z.X.[Zhi-Xiang], Zhao, Y.[Yan], Wei, Y.P.[Yong-Ping], Feng, Q.[Qi], Xie, J.L.[Jia-Li],
Differences among Evapotranspiration Products Affect Water Resources and Ecosystem Management in an Australian Catchment,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Senkondo, W.[William], Munishi, S.E.[Subira E.], Tumbo, M.[Madaka], Nobert, J.[Joel], Lyon, S.W.[Steve W.],
Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Torres-Batlló, J.[Juan], Martí-Cardona, B.[Belén], Pillco-Zolá, R.[Ramiro],
Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Alhassan, A.[Abdullah], Jin, M.G.[Meng-Gui],
Evapotranspiration in the Tono Reservoir Catchment in Upper East Region of Ghana Estimated by a Novel TSEB Approach from ASTER Imagery,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Zhong, Y.L.[Yu-Long], Zhong, M.[Min], Mao, Y.[Yuna], Ji, B.[Bing],
Evaluation of Evapotranspiration for Exorheic Catchments of China during the GRACE Era: From a Water Balance Perspective,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Allies, A.[Aubin], Demarty, J.[Jérôme], Olioso, A.[Albert], Moussa, I.B.[Ibrahim Bouzou], Issoufou, H.B.A.[Hassane Bil-Assanou], Velluet, C.[Cécile], Bahir, M.[Malik], Maïnassara, I.[Ibrahim], Oï, M.[Monique], Chazarin, J.P.[Jean-Philippe], Cappelaere, B.[Bernard],
Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Cui, Y.[Yaokui], Ma, S.H.[Shi-Hao], Yao, Z.Y.[Zhao-Yuan], Chen, X.[Xi], Luo, Z.L.[Zeng-Liang], Fan, W.J.[Wen-Jie], Hong, Y.[Yang],
Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Elfarkh, J.[Jamal], Ezzahar, J.[Jamal], Er-Raki, S.[Salah], Simonneaux, V.[Vincent], Hssaine, B.A.[Bouchra Ait], Rachidi, S.[Said], Brut, A.[Aurore], Vincent, R.[Rivalland], Khabba, S.[Said], Chehbouni, A.[Abdelghani], Jarlan, L.[Lionel],
Multi-Scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
Two-Source-Energy-Balance: TSEB. BibRef

Du, T.[Tao], Yuan, G.F.[Guo-Fu], Wang, L.[Li], Sun, X.M.[Xiao-Min], Sun, R.[Rui],
Comparison of Remotely Sensed Evapotranspiration Models Over Two Typical Sites in an Arid Riparian Ecosystem of Northwestern China,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Zheng, Y.H.[Yu-Hao], Wang, L.S.[Lin-Song], Chen, C.[Chao], Fu, Z.Y.[Zheng-Yan], Peng, Z.R.[Zhen-Ran],
Using Satellite Gravity and Hydrological Data to Estimate Changes in Evapotranspiration Induced by Water Storage Fluctuations in the Three Gorges Reservoir of China,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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Liu, Z.B.[Zhi-Bin], Huang, Y.[Yue], Liu, T.[Tie], Li, J.L.[Jun-Li], Xing, W.[Wei], Akmalov, S.[Shamshodbek], Peng, J.B.[Jia-Bin], Pan, X.H.[Xiao-Hui], Guo, C.Y.[Chen-Yu], Duan, Y.C.[Yong-Chao],
Water Balance Analysis Based on a Quantitative Evapotranspiration Inversion in the Nukus Irrigation Area, Lower Amu River Basin,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Ha, W.S.[Wonsook S.], Diak, G.R.[George R.], Krajewski, W.F.[Witold F.],
Estimating Near Real-Time Hourly Evapotranspiration Using Numerical Weather Prediction Model Output and GOES Remote Sensing Data in Iowa,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Wu, J.[Jie], Lakshmi, V.[Venkataraman], Wang, D.S.[Da-Shan], Lin, P.R.[Pei-Rong], Pan, M.[Ming], Cai, X.T.[Xi-Tian], Wood, E.F.[Eric F.], Zeng, Z.Z.[Zhen-Zhong],
The Reliability of Global Remote Sensing Evapotranspiration Products over Amazon,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Yin, L.C.[Li-Chang], Wang, X.F.[Xiao-Feng], Feng, X.M.[Xiao-Ming], Fu, B.[Bojie], Chen, Y.Z.[Yong-Zhe],
A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Liao, Q.Y., Leng, P., Ren, C., Li, Z.L., Gao, M.F., Duan, S.B., Zhang, X., Shang, G.F.,
Evapotranspiration Retrieval Under Different Aridity Conditions Over North American Grasslands,
GeoRS(58), No. 10, October 2020, pp. 7205-7215.
IEEE DOI 2009
Vegetation mapping, Soil moisture, Satellites, Remote sensing, Moisture, Land surface, AmeriFlux, aridity conditions, water-stress BibRef

Li, Y.[Yan], Huang, C.L.[Chun-Lin], Kustas, W.P.[William P.], Nieto, H.[Hector], Sun, L.[Liang], Hou, J.L.[Jin-Liang],
Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Corbari, C.[Chiara], Jovanovic, D.S.[Drazen Skokovic], Nardella, L.[Luigi], Sobrino, J.[Josè], Mancini, M.[Marco],
Evapotranspiration Estimates at High Spatial and Temporal Resolutions from an Energy-Water Balance Model and Satellite Data in the Capitanata Irrigation Consortium,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Kohli, G.[Gurjot], Lee, C.M.[Christine M.], Fisher, J.B.[Joshua B.], Halverson, G.[Gregory], Variano, E.[Evan], Jin, Y.F.[Yu-Fang], Carney, D.[Daniel], Wilder, B.A.[Brenton A.], Kinoshita, A.M.[Alicia M.],
ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Kishcha, P.[Pavel], Starobinets, B.[Boris],
Spatial Heterogeneity in Dead Sea Surface Temperature Associated with Inhomogeneity in Evaporation,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Hu, S.[Shi], Mo, X.G.[Xing-Guo],
Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Nooni, I.K.[Isaac Kwesi], Hagan, D.F.T.[Daniel Fiifi T.], Wang, G.J.[Guo-Jie], Ullah, W.[Waheed], Li, S.J.[Shi-Jie], Lu, J.[Jiao], Bhatti, A.S.[Asher Samuel], Shi, X.[Xiao], Lou, D.[Dan], Prempeh, N.A.[Nana Agyemang], Sian, K.T.C.L.K.[Kenny T. C. Lim Kam], Dzakpasu, M.[Mawuli], Amankwah, S.O.Y.[Solomon Obiri Yeboah], Zhu, C.X.[Chen-Xia],
Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa,
RS(13), No. 3, 2021, pp. xx-yy.
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Wang, L.J.[Lin-Jiang], Wu, B.F.[Bing-Fang], Elnashar, A.[Abdelrazek], Zeng, H.W.[Hong-Wei], Zhu, W.W.[Wei-Wei], Yan, N.[Nana],
Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China,
RS(13), No. 6, 2021, pp. xx-yy.
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Han, S.S.[Sheng-Sheng], Liu, S.X.[Su-Xia], Hu, S.[Shi], Song, X.F.[Xian-Fang], Mo, X.G.[Xing-Guo],
Evapotranspiration on Natural and Reclaimed Coral Islands in the South China Sea,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Jepsen, S.M.[Steven M.], Harmon, T.C.[Thomas C.], Guan, B.[Bin],
Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
Characterize runoff generation and forest health depends partly on the accuracy and resolution of evapotranspiration BibRef

Li, X.L.[Xu-Liang], Xu, X.F.[Xue-Feng], Wang, X.J.[Xue-Jin], Xu, S.Y.[Shao-Yuan], Tian, W.[Wei], Tian, J.[Jie], He, C.S.[Chan-Sheng],
Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Yao, Y.J.[Yun-Jun], Liang, S.L.[Shun-Lin], Fisher, J.B.[Joshua B.], Zhang, Y.[Yuhu], Cheng, J.[Jie], Chen, J.[Jiquan], Jia, K.[Kun], Zhang, X.T.[Xiao-Tong], Bei, X.Y.[Xiang-Yi], Shang, K.[Ke], Guo, X.Z.[Xiao-Zheng], Yang, J.M.[Jun-Ming],
A Novel NIR-Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China,
GeoRS(59), No. 5, May 2021, pp. 4105-4119.
IEEE DOI 2104
Indexes, Vegetation mapping, Data models, Soil moisture, Water resources, Spatial resolution, Chinese GF-1, perpendicular vegetation index (PVI) BibRef

Panahi, D.M.[Davood Moshir], Tabas, S.S.[Sadegh Sadeghi], Kalantari, Z.[Zahra], Ferreira, C.S.S.[Carla Sofia Santos], Zahabiyoun, B.[Bagher],
Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
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Zhang, X.[Xuanze], Song, P.[Peilin],
Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Dimitriadou, S.[Stavroula], Nikolakopoulos, K.G.[Konstantinos G.],
Reference Evapotranspiration (ETo) Methods Implemented as ArcMap Models with Remote-Sensed and Ground-Based Inputs, Examined along with MODIS ET, for Peloponnese, Greece,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Qiu, L.J.[Lin-Jing], Wu, Y.P.[Yi-Ping], Shi, Z.Y.[Zhao-Yang], Chen, Y.T.[Yu-Ting], Zhao, F.[Fubo],
Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Stisen, S.[Simon], Soltani, M.[Mohsen], Mendiguren, G.[Gorka], Langkilde, H.[Henrik], Garcia, M.[Monica], Koch, J.[Julian],
Spatial Patterns in Actual Evapotranspiration Climatologies for Europe,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Antoniuk, V.[Vita], Manevski, K.[Kiril], Kørup, K.[Kirsten], Larsen, R.[Rene], Sandholt, I.[Inge], Zhang, X.Y.[Xi-Ying], Andersen, M.N.[Mathias Neumann],
Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Sobrino, J.A.[José Antonio], da Rocha, N.S.[Nájila Souza], Skokovic, D.[Drazen], Käfer, P.S.[Pâmela Suélen], López-Urrea, R.[Ramón], Jiménez-Muñoz, J.C.[Juan Carlos], Rolim, S.B.A.[Silvia Beatriz Alves],
Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Carpintero, E.[Elisabet], Anderson, M.C.[Martha C.], Andreu, A.[Ana], Hain, C.[Christopher], Gao, F.[Feng], Kustas, W.P.[William P.], González-Dugo, M.P.[María P.],
Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Feng, Y.Q.[Yu-Qing], Kuang, X.X.[Xing-Xing], Liang, S.[Sihai], Liu, S.[Suning], Yao, Y.Y.[Ying-Ying], Xie, Y.[Yueqing], Zheng, C.[Chunmiao],
A Simple and Efficient Method for Correction of Basin-Scale Evapotranspiration on the Tibetan Plateau,
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Liu, K.[Kai], Su, H.B.[Hong-Bo], Li, X.[Xueke], Chen, S.H.[Shao-Hui],
Development of a 250-m Downscaled Land Surface Temperature Data Set and its Application to Improving Remotely Sensed Evapotranspiration Over Large Landscapes in Northern China,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI 2112
Land surface temperature, Land surface, Spatial resolution, MODIS, Data models, Radio frequency, Atmospheric modeling, Downscaling, random forest (RF) BibRef

Jiang, Y.S.[Yong-Shan], Liu, Z.F.[Zhao-Fei],
Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions,
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Ochege, F.U.[Friday Uchenna], Shi, H.Y.[Hai-Yang], Li, C.F.[Chao-Fan], Ma, X.F.[Xiao-Fei], Igboeli, E.E.[Emeka Edwin], Luo, G.[Geping],
Assessing Satellite, Land Surface Model and Reanalysis Evapotranspiration Products in the Absence of In-Situ in Central Asia,
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Wang, Z.H.[Zhi-Hui], Cui, Z.P.[Ze-Peng], He, T.[Tian], Tang, Q.H.[Qiu-Hong], Xiao, P.Q.[Pei-Qing], Zhang, P.[Pan], Wang, L.L.[Ling-Ling],
Attributing the Evapotranspiration Trend in the Upper and Middle Reaches of Yellow River Basin Using Global Evapotranspiration Products,
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Liu, Z.B.[Zhi-Bin], Liu, T.[Tie], Huang, Y.[Yue], Duan, Y.C.[Yang-Chao], Pan, X.H.[Xiao-Hui], Wang, W.[Wei],
Comparison of Crop Evapotranspiration and Water Productivity of Typical Delta Irrigation Areas in Aral Sea Basin,
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Lin, N.[Nan], Jiang, R.[Ranzhe], Liu, Q.[Qiang], Yang, H.[Hang], Liu, H.L.[Han-Lin], Yang, Q.[Qian],
Quantifying the Spatiotemporal Variation of Evapotranspiration of Different Land Cover Types and the Contribution of Its Associated Factors in the Xiliao River Plain,
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DOI Link 2201
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Chen, H.B.[Hou-Bing], Gnanamoorthy, P.[Palingamoorthy], Chen, Y.L.[Yao-Liang], Mansaray, L.R.[Lamin R.], Song, Q.H.[Qing-Hai], Liao, K.[Kuo], Shi, A.[Aoni], Feng, G.[Ganlin], Sun, C.[Chenna],
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Qu, W.[Wei], Jin, Z.[Zehui], Zhang, Q.[Qin], Gao, Y.[Yuan], Zhang, P.[Pufang], Chen, P.[Peinan],
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Spatial-Temporal Variation in Paddy Evapotranspiration in Subtropical Climate Regions Based on the SEBAL Model: A Case Study of the Ganfu Plain Irrigation System, Southern China,
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Lian, T.[Ting], Xin, X.Z.[Xiao-Zhou], Peng, Z.Q.[Zhi-Qing], Li, F.[Fugen], Zhang, H.L.[Hai-Long], Yu, S.S.[Shan-Shan], Liu, H.Y.[Hui-Yuan],
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Senevirathne, C.K.[Chathuranga Kumara], Milas, A.S.[Anita Simic], Liu, G.[Ganming], Yacobucci, M.M.[Margaret Mary], Marambe, Y.A.[Yahampath Anuruddha],
Effects of Increasing C4-Crop Cover and Stomatal Conductance on Evapotranspiration: Simulations for a Lake Erie Watershed,
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Temporal and Spatial Changes in Evapotranspiration and Its Potential Driving Factors in Mongolia over the Past 20 Years,
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Fu, R.[Rui], Chen, R.[Rui], Wang, C.J.[Chang-Jing], Chen, X.[Xiao], Gu, H.F.[Hong-Fan], Wang, C.[Cong], Xu, B.D.[Bao-Dong], Liu, G.X.[Guo-Xiang], Yin, G.F.[Gao-Fei],
Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by Machine Learning,
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SPEI: Standardized Precipitation Evapotranspiration Index BibRef

Shang, C.P.[Cheng-Peng], Wu, T.[Tonghua], Ma, N.[Ning], Wang, J.[Jiemin], Li, X.F.[Xiang-Fei], Zhu, X.F.[Xiao-Fan], Wang, T.Y.[Tian-Ye], Hu, G.J.[Guo-Jie], Li, R.[Ren], Yang, S.[Sizhong], Chen, J.[Jie], Yao, J.[Jimin], Yang, C.[Cheng],
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Li, M.[Meng], Chu, R.H.[Rong-Hao], Sha, X.Z.[Xiu-Zhu], Islam, A.R.M.T.[Abu Reza Md. Towfiqul], Jiang, Y.L.[Yue-Lin], Shen, S.H.[Shuang-He],
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Evapotranspiration Seasonality over Tropical Ecosystems in Mato Grosso, Brazil,
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Spatio-Temporal Characteristics of the Evapotranspiration in the Lower Mekong River Basin during 2008-2017,
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Global Evapotranspiration Datasets Assessment Using Water Balance in South America,
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Qiao, X.J.[Xue-Jin], Yang, G.[Guang], Shi, J.C.[Jian-Chu], Zuo, Q.[Qiang], Liu, L.[Lining], Niu, M.[Mu], Wu, X.[Xun], Ben-Gal, A.[Alon],
Remote Sensing Data Fusion to Evaluate Patterns of Regional Evapotranspiration: A Case Study for Dynamics of Film-Mulched Drip-Irrigated Cotton in China's Manas River Basin over 20 Years,
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Pan, S.[Suli], Xu, Y.P.[Yue-Ping], Gu, H.[Haiting], Yu, B.[Bai], Xuan, W.D.[Wei-Dong],
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Su, T.[Tao], Sun, S.Y.[Si-Yuan], Wang, S.[Shuting], Xie, D.X.[De-Xiao], Li, S.P.[Shu-Ping], Huang, B.C.[Bi-Cheng], Ma, Q.R.[Qian-Rong], Qian, Z.H.[Zhong-Hua], Feng, G.L.[Guo-Lin], Feng, T.[Taichen],
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Oñate-Valdivieso, F.[Fernando], Oñate-Paladines, A.[Arianna], Núñez, D.[Deiber],
Evaluation of Satellite Images and Products for the Estimation of Regional Reference Crop Evapotranspiration in a Valley of the Ecuadorian Andes,
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Zhang, X.J.[Xiao-Jing], Wang, G.Q.[Guo-Qiang], Xue, B.L.[Bao-Lin], Wang, Y.T.[Yun-Tao], Wang, L.[Libo],
Spatiotemporal Variation of Evapotranspiration on Different Land Use/Cover in the Inner Mongolia Reach of the Yellow River Basin,
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Guo, X.T.[Xiao-Tong], Meng, D.[Dan], Chen, X.L.[Xue-Long], Li, X.J.[Xiao-Juan],
Validation and Comparison of Seven Land Surface Evapotranspiration Products in the Haihe River Basin, China,
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Zhou, Y.[Yong], Liu, Y.[Yi], Qiao, J.D.[Jian-Dong], Li, J.Z.[Jin-Ze], Zhou, C.[Chen],
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Diarra, A.[Alhousseine], Jarlan, L.[Lionel], Khabba, S.[Saïd], Le Page, M.[Michel], Er-Raki, S.[Salah], Balaghi, R.[Riad], Charafi, S.[Soufyane], Chehbouni, A.[Abdelghani], El Alami, R.[Rafiq],
Medium-Resolution Mapping of Evapotranspiration at the Catchment Scale Based on Thermal Infrared MODIS Data and ERA-Interim Reanalysis over North Africa,
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Liu, H.P.[Hai-Peng], Huang, F.[Feng], Li, Y.X.[Ying-Xuan], Ren, P.[Pinpin], Marek, G.W.[Gary W.], Ding, B.B.[Bei-Bei], Li, B.G.[Bao-Guo], Chen, Y.[Yong],
Developing an Automated Python Surface Energy Balance System (PySEBS) Software for Calculating Actual Evapotranspiration-Software Development and Application Case in Jilin Province, China,
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Jian, S.Q.[Sheng-Qi], Wang, A.[Aoxue], Su, C.G.[Cheng-Guo], Wang, K.[Kun],
Prediction of Future Spatial and Temporal Evolution Trends of Reference Evapotranspiration in the Yellow River Basin, China,
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Chen, Y.[Yusen], Zhang, S.[Shihang], Wang, Y.D.[Yong-Dong],
Analysis of the Spatial and Temporal Distribution of Potential Evapotranspiration in Akmola Oblast, Kazakhstan, and the Driving Factors,
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DOI Link 2212
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Li, H.Y.[Hong-Yuan], Chen, R.S.[Ren-Sheng], Han, C.[Chuntan], Yang, Y.[Yong],
Evaluation of the Spatial and Temporal Variations of Condensation and Desublimation over the Qinghai-Tibet Plateau Based on Penman Model Using Hourly ERA5-Land and ERA5 Reanalysis Datasets,
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Wang, Y.X.[Yu-Xuan], Ao, Y.[Yinhuan], Li, Z.[Zhaoguo],
Evapotranspiration Characteristics of Different Oases and Effects of Human Activities on Evapotranspiration in Heihe River Basin,
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Chen, J.[Jilong], Gao, X.[Xue], Ji, Y.[Yongyue], Luo, Y.X.[Yi-Xia], Yan, L.Y.[Ling-Yun], Fan, Y.C.[Yuan-Chao], Tan, D.M.[Da-Ming],
China's Greening Modulated the Reallocation of the Evapotranspiration Components during 2001-2020,
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Nagler, P.L.[Pamela L.], Barreto-Muñoz, A.[Armando], Sall, I.[Ibrahima], Lurtz, M.R.[Matthew R.], Didan, K.[Kamel],
Riparian Plant Evapotranspiration and Consumptive Use for Selected Areas of the Little Colorado River Watershed on the Navajo Nation,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Knipper, K.[Kyle], Anderson, M.[Martha], Bambach, N.[Nicolas], Kustas, W.[William], Gao, F.[Feng], Zahn, E.[Einara], Hain, C.[Christopher], McElrone, A.[Andrew], Belfiore, O.R.[Oscar Rosario], Castro, S.[Sebastian], Alsina, M.M.[Maria Mar], Saa, S.[Sebastian],
Evaluation of Partitioned Evaporation and Transpiration Estimates within the DisALEXI Modeling Framework over Irrigated Crops in California,
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DOI Link 2301
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Zeng, J.[Jian], Zhang, Q.[Qiang], Zhang, Y.[Yu], Yue, P.[Ping], Yang, Z.[Zesu], Wang, S.[Sheng], Zhang, L.[Liang], Li, H.Y.[Hong-Yu],
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Hao, X.M.[Xing-Ming], Fan, X.[Xue], Zhao, Z.[Zhuoyi], Zhang, J.J.[Jing-Jing],
Spatiotemporal Patterns of Evapotranspiration in Central Asia from 2000 to 2020,
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DOI Link 2303
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Wen, S.Y.[Si-Yi], Liu, Z.H.[Zi-Han], Han, Y.[Yu], Chen, Y.Y.[Yu-Yan], Xu, L.S.[Liang-Si], Li, Q.[Qiongsa],
Spatiotemporal Variation Characteristics of Reference Evapotranspiration and Relative Moisture Index in Heilongjiang Investigated through Remote Sensing Tools,
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DOI Link 2306
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Wang, L.[Lei], Wang, J.J.[Jin-Jie], Ding, J.[Jianli], Li, X.[Xiang],
Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data,
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Song, E.[Enze], Zhu, X.Y.[Xue-Ying], Shao, G.C.[Guang-Cheng], Tian, L.[Longjia], Zhou, Y.H.[Yu-Hao], Jiang, A.[Ao], Lu, J.[Jia],
Multi-Temporal Remote Sensing Inversion of Evapotranspiration in the Lower Yangtze River Based on Landsat 8 Remote Sensing Data and Analysis of Driving Factors,
RS(15), No. 11, 2023, pp. 2887.
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Nooni, I.K.[Isaac Kwesi], Ogou, F.K.[Faustin Katchele], Lu, J.[Jiao], Nakoty, F.M.[Francis Mawuli], Chaibou, A.A.S.[Abdoul Aziz Saidou], Habtemicheal, B.A.[Birhanu Asmerom], Sarpong, L.[Linda], Jin, Z.F.[Zhong-Fang],
Temporal and Spatial Variations of Potential and Actual Evapotranspiration and the Driving Mechanism over Equatorial Africa Using Satellite and Reanalysis-Based Observation,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Valdés-Uribe, A.[Alejandra], Hölscher, D.[Dirk], Röll, A.[Alexander],
ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes,
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Yang, N.[Ning], Su, D.B.[De-Bin], Wang, T.[Tao],
Atmospheric Ducts and Their Electromagnetic Propagation Characteristics in the Northwestern South China Sea,
RS(15), No. 13, 2023, pp. 3317.
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Effect on radar and related signals. BibRef

Proutsos, N.[Nikolaos], Tigkas, D.[Dimitris], Tsevreni, I.[Irida], Alexandris, S.G.[Stavros G.], Solomou, A.D.[Alexandra D.], Bourletsikas, A.[Athanassios], Stefanidis, S.[Stefanos], Nwokolo, S.C.[Samuel Chukwujindu],
A Thorough Evaluation of 127 Potential Evapotranspiration Models in Two Mediterranean Urban Green Sites,
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Du, B.L.[Bao-Long], Zhu, L.P.[Li-Ping], Ju, J.T.[Jian-Ting], Wang, J.[Junbo], Ma, Q.F.[Qing-Feng], Kou, Q.Q.[Qiang-Qiang],
A Quantification of Heat Storage Change-Based Evaporation Behavior in Middle-Large-Sized Lakes in the Inland of the Tibetan Plateau and Their Temporal and Spatial Variations,
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Yang, X.Y.[Xue-Yi], Shi, X.J.[Xiao-Jing], Zhang, Y.L.[Ya-Ling], Tian, F.[Fei], Ortega-Farias, S.[SaMuel],
Response of Evapotranspiration (ET) to Climate Factors and Crop Planting Structures in the Shiyang River Basin, Northwestern China,
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Zhao, Z.Y.[Zhuo-Yi], Hao, X.M.[Xing-Ming], Fan, X.[Xue], Zhang, J.J.[Jing-Jing], Zhang, S.[Sen], Li, X.W.[Xue-Wei],
Actual Evapotranspiration Dominates Drought in Central Asia,
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Bai, J.X.[Jia-Xin], Wu, G.[Guocan], Mao, Y.[Yuna],
Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020,
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Chatterjee, S.[Sumantra], Kandiah, R.[Ramanitharan], Watts, D.[Doyle], Sritharan, S.[Subramania], Osterberg, J.[John],
Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using Machine Learning Algorithms,
RS(15), No. 20, 2023, pp. 5021.
DOI Link 2310
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Sun, J.J.[Jing-Jing], Wang, W.[Wen], Wang, X.G.[Xiao-Gang], Brocca, L.[Luca],
Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China,
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Chen, Z.[Zeqiang], Liu, D.Y.[Dong-Yang], Wan, K.[Ke], Huang, W.Z.[Wen-Zhe], Chen, N.C.[Neng-Cheng],
Estimation and Spatiotemporal Analysis of Surface Evaporation in the Yangtze River Basin from 2010 to 2019,
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Comini-de Andrade, B.[Bruno], Laipelt, L.[Leonardo], Fleischmann, A.[Ayan], Huntington, J.[Justin], Morton, C.[Charles], Melton, F.[Forrest], Erickson, T.[Tyler], Roberti, D.R.[Debora R.], de Arruda-Souza, V.[Vanessa], Biudes, M.[Marcelo], Gomes-Machado, N.[Nadja], Antonio-Costa-dos Santos, C.[Carlos], Cosio, E.G.[Eric G.], Ruhoff, A.[Anderson],
geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America,
PandRS(207), 2024, pp. 141-163.
Elsevier DOI 2401
Eddy covariance, SEBAL, MODIS, South America, Water balance BibRef

Tao, S.[Sinuo], Song, L.S.[Li-Sheng], Zhao, G.[Gengle], Zhao, L.[Long],
Simulation and Assessment of Daily Evapotranspiration in the Heihe River Basin over a Long Time Series Based on TSEB-SM,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Moisture, SMAP, Soil Moisture Active Passive, Remote Sensing .


Last update:May 6, 2024 at 15:50:14