B117
Trends in Digital Agriculture: Crop sensing technologies towards climate resilient agricultural systems

Session ID#: 74565

Session Description:
Crop sensing, big data, analytics, and machinery are driving a revolution in agriculture. Emerging trends in digital agriculture are at the base of more productive and sustainable agricultural systems through more precise and resource-efficient farming decisions. Key unknowns remain regarding how crops respond to biotic and abiotic stress both spatially and temporally, as well as how in-situ, and remote sensors can effectively measure those plant responses. In this session, we will explore the relative roles of plant physiology, phenology, microclimate, and canopy structure in determining crop water use, stress, growth and development influencing yield and quality.  We are interested in field and modeling studies providing biological and physical insights using current and/or future proximal and remote sensing technologies to provide information critical to sustainable farming practices. Contributions may focus on a range of spatial and temporal scales, from seconds to decades and from the leaf to the globe.
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0452 Instruments and techniques [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Primary Convener:  Nicolas E Bambach-Ortiz, University of California Davis, Davis, CA, United States
Conveners:  William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Andrew J McElrone, USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States and Maria Mar Alsina, E&J Gallo, Modesto, United States
Primary Liaison:  Andrew J McElrone, USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States
 
MONITORING ADVECTION-ENHANCED EVAPOTRANSPIRATION IN A SEMIARID REGION IRRIGATED FIELD USING EDDY COVARIANCE AND OPTICAL/MICROWAVE SCINTILLOMETERS (498991)
Arlet Johana Luque Gomez1, Victor Garcia1, Felipe Medel1, Matias Lillo Briceño1, Matías Sígnorio1, Magdalena Mendoza1, María C. Muñoz1, Jaime Araya Vargas2, Alberto De La Fuente3, Jordi Vila-Guerau Arellano4, Felipe Lobos5, Gonzalo A Yanez6, Oscar Hartogensis5, Francisco Javier Meza7 and Francisco I Suarez1, (1)Pontifical Catholic University of Chile, Santiago, Chile, (2)Pontifical Catholic University of Chile, Ingeniería Estructural y Geotécnica, Santiago, Chile, (3)University of Chile, Santiago, Chile, (4)Wageningen University, Department of Meteorology and Air Quality, Wageningen, Netherlands, (5)Wageningen University and Research Center, Wageningen, Netherlands, (6)Pontifical Catholic University of Chile, Deparment of Structural and Geotechnical Engineering, Santiago, Chile, (7)Centro de Cambio Global. Pontificia Universidad Catolica de Chile, Santiago, Chile
 
A combined satellite remote sensing and modeling approach to monitor vineyard stress and growth conditions. (501792)
Aaron Walter Darwin Davitt1, Derek Tesser1, Harold Gamarro2, Erika Podest3, Kerry-Anne Cawse-Nicholson3, Jorge E González4 and Kyle C McDonald3,5, (1)The Graduate Center, City University of New York, Earth and Environmental Sciences, New York, NY, United States, (2)CUNY City College of New York, New York, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Department of Mechanical Engineering & NOAA-CREST Center, The City College of New York, NY 10031, New York, United States, (5)CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States
 
Assessing salinity induced plant stress in wild tomato species (S. pimpinellifolium) using UAV-based thermal and spectral imagery (511260)
Bonny Stutsel1, Yoann Malbeteau1, Mitchell Morton1, Bruno Aragon1, Yoseline Angel2, Kasper Johansen3, Mark Tester4 and Matthew McCabe1, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)King Abdullah University of Science and Technology, Hydrology and Land Observation Group (HALO), Division of Biological and Environmental Science & Engineering (BESE), Thuwal, Saudi Arabia, (3)King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Thuwal, Saudi Arabia, (4)King Abdullah University of Science and Technology, Center for Desert Agriculture, The Salt Lab, Thuwal, Saudi Arabia
 
Evaluating ET Partitioning in Vineyards from a Two-source Energy Balance Model using Land Surface Temperature from Canopy to Field Scale Resolutions (512735)
William P Kustas1, Hector Nieto2, Kyle Knipper3, Alfonso F Torres-Rua4, Joseph G Alfieri1, Feng Gao5, Martha Anderson6, John H Prueger7, Lawrence Hipps8 and Maria Mar Alsina9, (1)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (2)COMPLUTIG, Complutum Tecnologías de la Información Geográfica, Madrid, Spain, (3)USDA Beltsville Agricultural Research Center, Beltsville, MD, United States, (4)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (5)USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, MD, United States, (6)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (7)USDA ARS NLAE, Ames, IA, United States, (8)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (9)E&J Gallo, Modesto, United States
 
Monitoring vineyard water use and stress with high-spatiotemporal thermal satellite ET retrievals for improved and sustainable water management from field to regional scales (515247)
Kyle Knipper1, William P Kustas2, Martha Anderson1, Maria Mar Alsina3, Christopher Hain4, Joseph G Alfieri2, John H Prueger5, Feng Gao6, Andrew J McElrone7, Nicolas E Bambach-Ortiz8, Lynn McKee2 and Luis Sanchez3, (1)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (2)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (3)E&J Gallo, Modesto, United States, (4)National Integrated Drought Information System, Boulder, CO, United States, (5)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (6)USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, MD, United States, (7)USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States, (8)University of California Davis, Davis, CA, United States
 
Evaluating the ability of the surface renewal-energy balance method to determine coffee water use and its components in a traditional agroforestry system (526751)
Friso Holwerda, Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmósfera, Mexico City, Mexico, Olmo Guerrero-Medina, Posgrado en Ciencias de la Tierra, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico and Antoon Meesters, VU University of Amsterdam, Amsterdam, Netherlands
 
Evapotranspiration of Ground Vegetation in an Organic Shade Coffee Plantation Determined Using Surface Renewal-Energy Balance and Eddy Covariance Measurements (527188)
Olmo Guerrero-Medina, Posgrado en Ciencias de la Tierra, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico and Friso Holwerda, Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmósfera, Mexico City, Mexico
 
Assessment of High-Resolution Daily Evapotranspiration Models Using Instantaneous sUAS ET in Grapevine Vineyards (530177)
Ayman Nassar1, Alfonso Torres2, Joseph G Alfieri3, Lawrence Hipps4, John H Prueger5, Hector Nieto6, Maria Mar Alsina7, Lynn McKee3, William Alexander White8, William P Kustas3, Mac McKee2, Calvin Coopmans9, Luis Sanchez7 and Nick Dokoozlian7, (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, UT, 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)Complutum Tecnologías de la Información Geográfica, Madrid, Spain, (7)E&J Gallo, Modesto, United States, (8)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (9)Utah State University, Electrical Engineering, Logan, UT, United States
 
The Role of Averaging Scale in Modeling Non-linear Leaf Level Processes for Canopies using a Three-dimensional Leaf-resolving Model (558943)
Eric R Kent, University of California, Davis, Department of Plant Sciences, Davis, CA, United States and Brian Bailey, University of California Davis, Davis, CA, United States
 
Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Product into Remote Sensing Evapotranspiration Models and Yield Estimation in Grapevine Vineyards (560960)
Mahyar Aboutalebi1, Alfonso F Torres-Rua2, Mac McKee3, Hector Nieto4, William P Kustas5, Luis Sanchez6, Maria Mar Alsina6, William Alexander White7, Lawrence Hipps8, John H Prueger9, Lynn McKee5, Joseph G Alfieri5, Nick Dokoozlian6 and Calvin Coopmans10, (1)Utah State University, Civil and Environmental Engineering, Logan, UT, United States, (2)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (3)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (4)Complutum Tecnologías de la Información Geográfica, Madrid, Spain, (5)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (6)E&J Gallo, Modesto, United States, (7)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (8)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (9)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (10)Utah State University, Electrical Engineering, Logan, UT, United States
 
Simple Models of Light Interception in Heterogenous Canopies (570254)
María Alejandra Ponce de León1, Brian Bailey1 and Eric Scott Krayenhoff2, (1)University of California Davis, Davis, CA, United States, (2)University of Guelph, Guelph, ON, Canada
 
Lessons on Water Use Efficiency from Water Vapor and CO2 Flux observations over Vineyards Across the Californian Mediterranean Climate Gradient (585227)
Nicolas E Bambach-Ortiz1, Maria Mar Alsina2, William P Kustas3, Joseph G Alfieri3, Lawrence Hipps4, Lynn McKee3, John H Prueger5, Nick Dokoozlian2 and Andrew J McElrone6, (1)University of California Davis, Davis, CA, United States, (2)E&J Gallo, Modesto, 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)USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States
 
Comparison of Evapotranspiration Estimates from Remote Sensing, Crop Coefficient Models, and Eddy Covariance Stations for Celery in California (585472)
Tianxin Wang1,2, Forrest S Melton2,3, Lee Johnson1,2, Michael Cahn4, Lynn McKee5 and Karrin Alstad6, (1)NASA ARC-CREST, Moffett Field, CA, United States, (2)CSU Monterey Bay, Seaside, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)UC Cooperative Extension, Salinas, CA, United States, (5)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (6)UC Davis, Department of Viticulture and Enology, Davis, CA, United States
 
Comparing Traditional Water Balance Estimates of Evapotranspiration with Eddy-Covariance and Satellite-Based Modeling in a Drip Irrigated Vineyard (598879)
Karrin Alstad1, Tiffany G Wilson2, Lynn McKee3, Maria Mar Alsina4, Nicolas E Bambach-Ortiz5, Tianxin Wang6, Joseph G Alfieri3, John H Prueger7, Lawrence Hipps8, Kyle Knipper9, Andrew J McElrone10, Martha Anderson11 and William P Kustas3, (1)UC Davis, Department of Viticulture and Enology, Davis, CA, United States, (2)USDA-ARS Hydology and Remote Sensing Lab, Beltsville, MD, United States, (3)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (4)E&J Gallo, Modesto, United States, (5)University of California Davis, Davis, CA, United States, (6)CSU Monterey Bay, Marina, CA, United States, (7)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (8)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (9)USDA Beltsville Agricultural Research Center, Beltsville, MD, United States, (10)USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States, (11)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
 
Measurement Uncertainty and Model Validation: An Irrigated Cotton Case Study (599168)
Joseph G Alfieri, USDA Beltsville Agricultural Research Center, Beltsville, MD, United States, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, John H Prueger, U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States and Christopher M U Neale, University of Nebraska, Robert B. Daugherty Water for Food Institute, Lincoln, NE, United States
 
Remote Sensing of Sub-field Water Stress Using NDWI, ET and SAR Data (607188)
Lindi Oyler1, Ryan Smith1, Colin S. Campbell2, Neil Hansen3, Bryan Hopkins4, Jeff Svedin5 and Annie Woolley4, (1)Missouri University of Science and Technology, Rolla, MO, United States, (2)Decagon Devices, Pullman, WA, United States, (3)Brigham Young University, Provo, UT, United States, (4)Brigham Young University, Provo, United States, (5)University of Missouri, Columbia, United States
 
Potential and limitations of solar-induced chlorophyll fluorescence (SIF) for agricultural applications (621897)
Troy Sehlin Magney, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Drought monitoring using MODIS/AVHRR data and its impact on wheat yields in wheat-growing areas of China (627664)
Shuhe Zhao, Nanjing University, School of Geographic & Oceanographic Sciences, Nanjing, China, Zhihao Qin, Chinese Academy of Agricultural Sciences, Beijing, China and Qiangfei Fang, Nanjing University, Nanjing, China
 
Leaf level spectral features related to grapevine water status: informing viticulture remote sensing sensor development. (627679)
Maria Mar Alsina, E & J Gallo Winery, Modesto, CA, United States, Nicolas E Bambach-Ortiz, University of California Davis, Davis, CA, United States, Hector Nieto, Complutum Tecnologías de la Información Geográfica, Madrid, Spain, Ana Andreu, Instituto de Investigacion y Formacion Agraria y Pesquera (IFAPA), Córdoba, Spain, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Andrew J McElrone, USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States, Casey Ryan, E & J Gallo Winery, Viticulture, Chemistry and Enology, Modesto, United States and Nick Dokoozlian, E&J Gallo, Modesto, United States
 
Translational Agriculture: Data-driven insights into crop responses to genetics, environment and management that are readily applied to production agriculture. (631727)
Adam Wolf, Arable Labs, Inc., Princeton, NJ, United States, Danielle Watts, Arable Labs, Inc., Berkeley, CA, United States, Loreli Carranza-Jimenez, Arable Labs, Inc., San Francisco, United States, Trenton Franz, University of Nebraska Lincoln, Lincoln, NE, United States and Lyndon D Estes, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
 
An alternative method to estimate atmosphere-canopy fluxes from semi-high frequency canopy infrared temperature (631984)
Andrew J McElrone, USDA ARS, Department of Viticulture and Enology, UC Davis, Davis, CA, United States, Nicolas E Bambach-Ortiz, University of California Davis, Davis, CA, United States and Christopher K Parry, DuPont Pioneer, Johnston, IA, United States
 
Rapid Operational Derivation of Surface Reflectance Values for Near-realtime Applications of Satellite Data (632762)
Will Carrara1,2, Forrest S Melton1,2, Lee Johnson3, Alberto Guzman1 and Conor Doherty1,4, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)California State University Monterey Bay, Seaside, CA, United States, (3)NASA ARC-CREST, Moffett Field, CA, United States, (4)Stanford University, Stanford, CA, United States
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