THP.P21.3

EVAPOTRANSPIRATION FORECASTING IN WOODY PERENNIAL CROPS USING MACHINE LEARNING OF REMOTE SENSING, METEOROLOGICAL AND LAND SURFACE DATA- A PREDICTIVE MODELING APPROACH

Apoorva Jha, Nicolas Bambach, University of California, Davis, United States; Andrew McElrone, United States Department of Agriculture & University of California, Davis, United States; Mason Earles, University of California, Davis, United States; Kyle Knipper, United States Department of Agriculture, United States
Session:
THP.P21: Remote Sensing of Crop and Soil Water Poster
Track:
Land Applications
Location:
Poster Area 21
Presentation Time:
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Jasmeet Judge, University of Florida
Session Managers:
HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha
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Discussion
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Session THP.P21
THP.P21.1: TOWARD FIELD LEVEL DROUGHT AND IRRIGATION MONITORING USING MACHINE LEARNING BASED HIGH-RESOLUTION SOIL MOISTURE (ML-HRSM) DATA
Zhengwei Yang, USDA/NASS, United States; Jingyi Huang, Zhou Zhang, University of Wisconsin - Madison, United States
THP.P21.2: USING OPEN ACCESS SPACE-BORNE DIGITAL ELEVATION MODELS – IMPLICATIONS FOR UNCERTAINTIES IN SOIL EROSION BY WATER ASSESSMENTS
Jussi Baade, Kevin Zoller, Friedrich Schiller University Jena, Germany; Jay Le Roux, University of the Free State, South Africa
THP.P21.3: EVAPOTRANSPIRATION FORECASTING IN WOODY PERENNIAL CROPS USING MACHINE LEARNING OF REMOTE SENSING, METEOROLOGICAL AND LAND SURFACE DATA- A PREDICTIVE MODELING APPROACH
Apoorva Jha, Nicolas Bambach, University of California, Davis, United States; Andrew McElrone, United States Department of Agriculture & University of California, Davis, United States; Mason Earles, University of California, Davis, United States; Kyle Knipper, United States Department of Agriculture, United States
THP.P21.4: SOIL MOISTURE RETRIEVAL OVER CROP REGION USING TIME-SERIES HIGH-RESOLUTION RCM DATA
Xin Zhou, Jinfei Wang, The University of Western Ontario, Canada
THP.P21.5: HIGH RESOLUTION SURFACE SOIL MOISTURE FROM C- AND L-BAND SAR DATA TO DETECT IRRIGATION EVENTS
Anna Balenzano, Francesco Mattia, Giuseppe Satalino, Francesco Lovergine, Davide Palmisano, Francesco Nutini, Giorgia Verza, National Research Council of Italy (CNR), Italy; Michele Rinaldi, Francesco Ciavarella, Angelo Pio De Santis, Council for Agricultural Research and Economics (CREA), Italy; Vanessa Paredes Gómez, David Nafría García, Instituto Tecnológico Agrario de Castilla y León (ITACyL), Spain
THP.P21.6: A GLOBAL PRODUCT OF WEEKLY FORECAST REFERENCE EVAPOTRANSPIRATION FOR MONITORING WATER REQUIREMENTS.
Joan Miquel Galve, Juan Manuel Sánchez, Jesús Garrido-Rubio, IDR UCLM, Spain; Julio Villodre, María Llanos López, Agrisat Iberia S.L., Spain; Claudio Balbontín, Instituto de Investigaciones Agropecuarias INIA, Chile; Alfonso Calera, José Gonzalez-Piqueras, IDR UCLM, Spain; Francisco Meza, Pontificia Universidad Católica de Chile,, Chile
THP.P21.7: ON THE CORRELATION OF REMOTE ESTIMATED ET AND LEAF STOMATAL CONDUCTANCE
Alexandros Falagas, National Technical University of Athens, Greece; Memet Ouzoun, Athena Research and Innovation Center in Information, Greece; Konstantinos Karantzalos, National Technical University of Athens, Greece
THP.P21.8: MAPPING HIGH-RESOLUTION ACTUAL EVAPOTRANSPIRATION IN ALMONDS OVER AN EDDY COVARIANCE FLUX FOOTPRINT USING REMOTELY PILOTED AIRCRAFT
Sarah Solis, Andrew Gal, Erica Edwards, Nicolas Bambach, Kyle Knipper, University of California, Davis, United States; Alfonso Torres-Rua, Utah State University, United States; Sebastian Castro, Ian Wright, Peter Tolentino, Andrew McElrone, University of California, Davis, United States; Bill Kustas, United States Department of Agriculture, United States; Mallika Nocco, University of California, Davis, United States
THP.P21.9: Using UAV Remote Sensing to Assess Cotton Cultivars for Water Stress Resistance in West Texas
Emily Wieber, Wenxuan Guo, Texas Tech University, United States
Resources
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