H049
Evapotranspiration (ET): Advances in In Situ ET Measurements and Remote Sensing-Based ET Estimation, Mapping, and Evaluation.

Session ID#: 156794

Session Description:
Evapotranspiration (ET) is a key landscape response variable that links the soil-water-vegetation system with the atmosphere through bio-physical processes for mass and energy exchange. The estimation of ET is prone to uncertainties. This session will cover both in situ and satellite-based estimations of ET. In situ methods (lysimeters, eddy covariance, Bowen Ratio, sap flow, scintillometer, etc.) are essential for understanding ET processes, field verification, and bias-correction of remote sensing and modelling approaches. Satellite-based estimations are important for large area ET mapping and basin scale applications. However, sources and magnitude of bias and uncertainty tend to vary by method, spatiotemporal scale, and hydro-climatic region. The scope of the session will include: (1) ET estimation with in situ techniques: improved methods and analysis of long time-series, (2) ET modeling using optical and thermal sensors, (3) applications for a range of ecosystems and spatiotemporal scales, and (4) accuracy evaluation for decision making.
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • EGU: European Geosciences Union -
Index Terms:

1818 Evapotranspiration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Primary Convener:  Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, CO, United States
Conveners:  Naga Manohar Velpuri, International Water Management Institute, Water Accounting, Colombo, Sri Lanka and Pamela L Nagler, USGS Southwest Biological Science Center, Tucson, United States
 
Computation of Actual Evapotranspiration using Remotely Sensed Data-based Bio-Meteorological Model (1043019)
Khil Lee, Daegu University, Gyeongsan, Korea, Republic of (South)
 
Hydrosat: Towards Daily, Field-scale, Global Evapotranspiration from Space (Invited) (1043561)
Joshua B Fisher, Hydrosat, Washington, DC, United States and The Hydrosat Team
 
Evaluation of two types of evapotranspiration methods in riparian vegetation with the two-band Enhanced Vegetation Index and SSEBop in restored and unrestored reaches of the Lower Colorado River in the USA (1043846)
Pamela L Nagler1, Ibrahima Sall2, Armando Barreto-munoz3, Kamel Didan3, Neda Abbasi4, Hamideh Nouri5,6, Matthew Schauer7 and Gabriel B Senay8, (1)USGS Southwest Biological Science Center, Tucson, United States, (2)University of Arizona, Department of Agricultural and Resource Economics, Tucson, AZ, United States, (3)University of Arizona, Biosystems Engineering, Tucson, AZ, United States, (4)University of Gottingen, Crop Science, Gottingen, Germany, (5)University of Gottingen, Agriculture, Gottingen, Germany, (6)Strategy, Science and Corporate Services, Environment and Water, Adelaide, Australia, (7)C2G Inc. – Contractor to the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States, (8)U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, EROS/North Central Climate Adaptation Science Center, Fort Collins, United States
 
Error Characterization and Multi-source Merging of Global Land Evapotranspiration Products: Collocation-based approach (1052749)
Changming Li1, Hanbo Yang1, Wencong Yang1, Ziwei Liu1, Yao JIA2, Sien Li3 and Dawen Yang1, (1)Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Beijing, China, (2)Tsinghua University, Beijing, China, (3)China Agricultural University, Center for Agricultural Water Research in China, Beijing, China
 
On the Estimation of Potential Evaporation Across Moisture Gradient (1058133)
Zhuoyi Tu and Yuting Yang, Tsinghua University, State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Beijing, China
 
Use of Remotely Sensed Evapotranspiration Products to Predict Streamflow in an Ungauged Watershed, North Korea. (1060624)
Dongho KIM1, Sangchul Lee2, Hyemin Jeong1, Yongsung Kwon1 and Byeongwon Lee1, (1)University of Seoul, Seoul, Korea, Republic of (South), (2)USDA-ARS, Beltsville, United States
 
Daily crop water use retrievals using Planet’s data fusion analysis-ready data (1067642)
Bruno Aragon, Planet Labs, San Francisco, CA, United States and Rasmus Houborg, Planet Labs, San Francisco, United States
 
ET Toolbox Daily 30 m Evapotranspiration 7-day Hindcast & 7-day Forecast System for Water Resource Management on the Rio Grande River (1074341)
Gregory Hillard Halverson1, Stephanie L Granger2, Joshua B Fisher3, Andrew Gelderloos4, Dagmar Llewellyn4, John Branum4, Josh Hind5 and Anne Marken5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Western Water Applications Office, Pasadena, CA, United States, (3)Chapman University, Schmid College of Science and Technology, Orange, United States, (4)United States Bureau of Reclamation, Albuquerque, NM, United States, (5)Middle Rio Grande Conservancy District, Albuquerque, NM, United States
 
Real-Time Evapotranspiration Estimates, Hourly and Fine-Resolution For Hydrologic Forecasting (1075197)
Felipe Quintero1, Lindsay Matthews2, Witold F Krajewski2 and Marcela Rojas1, (1)University of Iowa, Iowa City, IA, United States, (2)University of Iowa, Iowa City, United States
 
Feature Importance Evaluation and Trend Analysis of Long Time Series of Reference Evapotranspiration in California (1076636)
Arman Ahmadi1, Andre Daccache1, Richard L Snyder2 and Kosana Suvocarev3, (1)University of California, Davis, Biological and Agricultural Engineering, Davis, United States, (2)University of California, Land, Air & Water Resources, Davis, CA, United States, (3)University of California Davis, Land Air Water Resources, Davis, United States
 
High-resolution Planet Multispectral Images for Evapotranspiration Estimation of Lettuce Using a Two-Source Water and Energy Balance Model (1078375)
Ramesh Dhungel, USDA Agricultural Research Service Riverside, Riverside, CA, United States, Ray G Anderson, USDA Agricultural Research Service Riverside, Riverside, United States, Andrew N French, USDA-ARS, U.S. Arid-Land Agricultural Research Center, Maricopa, AZ, United States and Elia Scudiero, University of California Riverside, Riverside, CA, United States
 
Hyper-resolution Distributed Hydrological Simulations of Soil Moisture and the Partitioning of Evapotranspiration in the Jornada Experimental Range, Southwestern U.S. (1083509)
Jorge Mayo, University of Texas at El Paso, El Paso, TX, United States and Hernan A Moreno, University of Texas at El Paso, Earth, Environmental and Resource Sciences, El Paso, United States
 
Estimating Irrigation Water Consumption in the United States High Plains with Integrated Energy and Water Balance Evapotranspiration Modeling Approaches (1100321)
Lei Ji, ASRC Federal Data Solutions - Contractor to USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States, Gabriel B Senay, U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, EROS/North Central Climate Adaptation Science Center, Fort Collins, United States, MacKenzie Friedrichs, KBR Contractor to the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States and Stefanie Kagone, Stinger Ghaffarian Technologies, Sioux Falls, SD, United States; ASRC Federal Data Solutions, contractor to USGS EROS Center, Sioux Falls, United States
 
Long term consolidated time series of sensible and latent heat fluxes of a crop mosaic using the bi-chromatic scintillometry method. (1109551)
Jean-Martial Cohard, Univ. Grenoble Alpes, Grenoble, France, Helene Barral, IRD Institute for Research and Development, IGE, Grenoble, France, Catherine Coulaud, UGA, CNRS, Institut des Geosciences de l’Environnement (IGE) UMR 5001, IGE, Grenoble, France, Bernard Mercier, CNRS, IGE, Grenoble, France, Jerome Demarty, IRD Institute for Research and Development, Marseille Cedex 02, France and Florian Jaquet, University Grenoble Alpes, IGE, Grenoble, France
 
The Age of Evapotranspiration: Continental-scale Lower-bound Constraints from Distributed Water Fluxes (1109764)
William Jesse Hahm, Pacific Institute for Climate Solutions, Vancouver, BC, Canada, Dana A Lapides, Simon Fraser University, Geography Department, Burnaby, BC, Canada, Daniella Marie Rempe, University of Texas at Austin, Department of Geological Sciences, Jackson School of Geosciences, Austin, TX, United States, Erica L McCormick, University of Texas at Austin, Austin, TX, United States and David Dralle, USDA Forest Service, Pacific Southwest Research Station, Davis, United States
 
Aerodynamic temperature: The Mystic Component in Thermal Remote Sensing of Evaporation (1115262)
Kaniska Mallick, Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN), Belvaux, Luxembourg, Daphne J. Szutu, University of Arizona, Tucson, AZ, United States, Zoltan Szantoi, European Commision, Joint Research Center, Ispra, Italy, Nishan Bhattarai, USDA-ARS Hydrology and Remote Sensing Lab, Beltsville, MD, United States, Tianxin Wang, UC Berkeley, Berkeley, CA, United States, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Ivonne Trebs, Organization Not Listed, Washington, DC, United States, Mauro Sulis SR., Luxembourg Institute of Science and Technology, Environmental Research & Innovation (ERIN) Department, Belvaux, Luxembourg, Joe Verfaillie, University of California Berkeley, Berkeley, CA, United States, Gilles Boulet, Centre d'Etudes Spatiales de la Biosphere, Toulouse Cedex 9, France, Dennis D Baldocchi, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States and Tian Hu, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg
 
Bias-corrected Crop Coefficients for Different Land Cover Types in the U.S. Mid-South derived from Eddy Covariance Measurements and the gridMET Dataset (1120521)
Elahe Tajfar, University of Arkansas, Fayetteville, AR, United States, John Volk, Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, United States, Michele L. Reba, USDA, Agricultural Research Service, Jonesboro, AR, United States, Bryant Fong, USDA-ARS, Delta Water Management Research Unit, Jonesboro, AR, United States, Kimberly A Novick, Indiana University Bloomington, Bloomington, IN, United States, Paul White, USDA ARS, Houma, LA, United States, Joydeep Bhattacharjee, Eskisehir, Turkey; University of Louisiana Monroe, Biology, Monroe, United States, Saseendran Anapalli, Kyoto, Japan and Benjamin Runkle, University of Arkansas, Biological and Agricultural Engineering, Fayetteville, AR, United States
 
Quantifying Citrus Plant Water Use by Evapotranspiration Partitioning Using In-Situ Measurements (1138974)
Yusen Yuan, University of California Riverside, Department of Environmental Science, Riverside, CA, United States, Hoori Ajami, University of California Riverside, Riverside, CA, United States, Ray G Anderson, USDA Agricultural Research Service Riverside, Riverside, United States, Dong Wang, Agricultural Research Service Parlier, Parlier, United States, Jason Kelley, USDA-ARS, Parlier, United States and Lixin Wang, Indiana University Purdue University Indianapolis, Department of Earth Sciences, Indianapolis, United States
 
Long-term Monitoring of Evapotranspiration in South America Using geeSEBAL and Terra/Aqua MODIS Images (1151440)
Bruno Comini, Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, Brazil, Anderson Ruhoff, Federal University of Rio Grande do Sul, Brazil, Institute of Hydraulic Research, Rio Grande do Sul, Brazil, Leonardo Laipelt, Institute of Hydraulic Research UFGRS, Porto Alegre, Brazil, Ayan Santos Fleischmann, Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil, Charles Morton, Desert Research Institute, Reno, NV, United States, Forrest S Melton, CSU Monterey Bay, NASA ARC-CREST, Seaside, CA, United States, Justin L Huntington, Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, United States and Tyler Erickson, Google, Earth Outreach, Mountain View, CA, United States
 
Drought Susceptibility and Response Across Different Vegetation Types in California (1154822)
Pragya Kandel, University of Tennessee, Knoxville, TN, United States, Bharat Sharma, Northeastern University, Civil and Environmental Engineering Department, Boston, MA, United States, Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Forrest M. Hoffman, Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States
 
Assessing the Impact of Multisource Meteorological Inputs on Evapotranspiration and Biomass Estimates in Data-Scarce Environments using Pysebal Model (1156288)
Karthikeyan Matheswaran, International Water Management Institute, Sri jayawardenapura Kotte, Sri Lanka and Hemant Servia, Waterplan, Delft, Netherlands
 
Estimation of Leaf Area Index in Urban Turfgrass Using High-Resolution Multispectral Imagery for the Two-Source Energy Balance Model (1158808)
Karem Meza Capcha1, Alfonso F Torres-Rua2, Lawrence Hipps3, William P Kustas4, Kelly Kopp1, Rui Gao5, Laura Christiansen1, Oliver Hargreaves1, Ian Gowing6, Katherine Osorio1 and Calvin Coopmans7, (1)Utah State University, Logan, United States, (2)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (3)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (4)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (5)Utah State University, Logan, UT, United States, (6)Utah State University, Utah Water Research Laboratory, Logan, United States, (7)Utah State University, Electrical Engineering, Logan, UT, United States
 
Influence of UAV Commercial Thermal Sensor characteristics on Almond Evapotranspiration (1160517)
Alfonso F Torres-Rua1, Rui Gao2, Karem Meza Capcha3, Moises Duran3, Mallika Arudi Nocco4, Nicolas E Bambach4, Lawrence Hipps5, Andrew J McElrone6, William P Kustas7, Hector Nieto Solana8, John H Prueger9, Kyle Knipper10, Ian Gowing11 and Calvin Coopmans12, (1)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (2)Utah State University, Logan, UT, United States, (3)Utah State University, Logan, United States, (4)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States, (5)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (6)USDA ARS, Davis, United States, (7)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (8)Spanish National Research Council, CSIC, Spanish Research Council Institute for Sustainable Agriculture, Cordoba, Spain, (9)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (10)U.S. Department of Agriculture, Agricultural Research Service, Sustainable Agricultural Water Systems Unit, Davis, CA, United States, (11)Utah State University, Utah Water Research Laboratory, Logan, United States, (12)Utah State University, Electrical Engineering, Logan, UT, United States
 
Estimating Evapotranspiration in the Congo Basin Using Remotely-Sensed Measurements to Constrain a Terrestrial Ecosystem Model (1161808)
Sarah Worden1, Rong Fu2, A. Anthony Bloom3, Paul Alexander Levine3,4 and John R Worden5, (1)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (2)University of California, Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)University California Irvine, Department of Earth System Science, Irvine, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
ET Partition-based Grapevine Water Stress Estimation Based on Small Unmanned Aerial Systems and the Two-Source Energy Balance Model (1163846)
Rui Gao, Alfonso F Torres-Rua2,3, Maria Mar Alsina4, Hector Nieto5, Lawrence Hipps6, William P Kustas7, William Alexander White8, Martha Anderson9, Joseph G Alfieri7, Nick Dokoozlian4, Feng Gao10, Lynn McKee7, John H Prueger11, Luis Sanchez4, Andrew J McElrone12, Nicolas E Bambach13, Calvin Coopmans14 and Ian Gowing15, (1)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (2)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, United States, (3)E&J Gallo, Modesto, United States, (4)Institute of Agricultural Sciences - CSIC, Alcalá de Henares (Madrid), Spain, (5)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (6)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (7)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (8)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (9)USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (10)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (11)USDA ARS, Davis, United States, (12)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States, (13)Utah State University, Electrical Engineering, Logan, UT, United States, (14)Utah State University, Utah Water Research Laboratory, Logan, United States
 
Exploring Connections Between Shallow Groundwater and Evapotranspiration Across the US Using Integrated Hydrologic Models (Invited) (1170170)
Laura E Condon, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Adam L Atchley, Los Alamos National Laboratory, Los Alamos, NM, United States and Reed M Maxwell, Princeton University, Civil & Environmental Engineering, High Meadows Environmental Institute, Princeton, United States
 
Sensitivity analysis on inputs to the DisALEXI algorithm using a Machine Learning interpretability method (1177267)
Dhruva Kathuria, NASA Goddard Space Flight Center, Greenbelt, United States, Kyle Knipper, University of California Davis, Davis, United States, Shubham Jain, Texas A&M University College Station, College Station, TX, United States, Nicolas E Bambach, University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States, Andrew J McElrone, USDA ARS, Davis, United States, Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States and Feng Gao, USDA, ARS, Beltsville, MD, United States
 
Toward an international application of the OpenET ensemble approach based on Landsat and MODIS evapotranspiration estimates: Preliminary results for Brazil (1178875)
Anderson Ruhoff1, Leonardo Laipelt2, Bruno Comini3, Vanessa De Arruda Souza4, Julia B. Rossi5, Debora Regina Roberti6, Thiago Fontenelle7, Daniel A. C. Ferreira7, Gabriel B Senay8, MacKenzie Friedrichs9, Charles Morton10, Forrest S Melton11 and Tyler Erickson12, (1)UFRGS Federal University of Rio Grande do Sul, IPH Institute of Hydraulic Research, Porto Alegre, Brazil, (2)Institute of Hydraulic Research UFGRS, Porto Alegre, Brazil, (3)Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, Brazil, (4)UFRGS, Santa Maria, Brazil, (5)UFRGS Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil, (6)UFSM Federal University of Santa Maria, Santa Maria, Brazil, (7)ANA Agencia Nacional de Águas, Brasilia, Brazil, (8)U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, EROS/North Central Climate Adaptation Science Center, Fort Collins, United States, (9)KBR Contractor to the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States, (10)Desert Research Institute, Reno, NV, United States, (11)CSU Monterey Bay, NASA ARC-CREST, Seaside, CA, United States, (12)Google, Earth Outreach, Mountain View, CA, United States
 
Estimating Evapotranspiration using Wavelet Analysis of Semi-High Frequency Water Vapor Tracers Time Series (1180507)
Robin K Nguyen1, Andrew J McElrone2, William P Kustas3, Lawrence Hipps4, John H Prueger5, Joseph G Alfieri3, Sebastian Castro Bustamante1, Ian R Wright1, Andrew Gal6, Lynn McKee3 and Nicolas E Bambach7, (1)University of California Davis, Viticulture & Enology, Davis, CA, United States, (2)USDA ARS, Davis, United States, (3)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (4)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (5)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (6)University of California Davis, Department of Land, Air, and Water Resources, Davis, United States, (7)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States
 
Evaluating Actual Evapotranspiration Rates and Water Use of Cotton Crop Production in Western Kansas (1188151)
Aleksey Y Sheshukov1, Komlan Koudahe1, Umme Fatema Piu1, Jonathan Aguilar2 and Jingfeng Wang3, (1)Kansas State University, Biological & Agricultural Engineering, Manhattan, KS, United States, (2)Kansas State University, Southwest Research & Extension Center, Garden City, KS, United States, (3)GA Ins of Tech-Civil & Env Eng, Atlanta, GA, United States
 
Information Theory and Flux Footprints to Characterize Drivers of Daily Satellite-Based and Flux Tower Evapotranspiration (1188353)
Dawn URycki, University of Colorado Denver, Department of Civil Engineering, Denver, CO, United States, Allison Eva Goodwell, University of Colorado, Denver, Civil Engineering, Denver, CO, United States, Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Yun Yang, USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States and Jie Xue, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
 
The applicability of using the Canadian Small Lakes Model for gap filling an evaporation observation network of 12 site-years of lake-based eddy covariance data. (1189079)
M Graham Clark and Sean Kevin Carey, McMaster University, School of Earth, Environment and Society, Hamilton, ON, Canada
 
Fast estimation of evapotranspiration using data from a soil-moisture sensor network (1191415)
Yuhua Chen1, Weiyu Li2 and Daniel M Tartakovsky2, (1)University of Pennsylvania, Philadelphia, United States, (2)Stanford University, Energy Science and Engineering, Stanford, United States
 
Uncertainty in Satellite Remote Sensing Derived Evapotranspiration Estimation: Current Status and Assessment Methods (1194922)
Bich Tran1,2, Hans van der Kwast1, Marloes Mul1, Solomon Seyoum1, Remko Uijlenhoet2 and Graham P. W. Jewitt1, (1)IHE Delft Institute for Water Education, Delft, Netherlands, (2)Delft University of Technology, Delft, Netherlands
 
Modelling And Spatial Disaggregation Of Evapotranspiration From Remote Sensing Over Vineyards (1195903)
Sangeetharani Munusamy, Indian Institute of Technology Bombay, Mumbai, India, Eswar Rajasekaran, Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India and Dharmendra Saraswat, Purdue University, Agricultural and Biological Engineering, West Lafayette, United States
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