B23D:
Smart Farming Enabled by Remotely Sensed Big Data I


Submit an Abstract to this Session


Session ID#: 59880

Session Description:
Smart Farming is currently driving revolution in agriculture, aiming at more productive and sustainable production through precise and resource-efficient farming decisions. Remotely sensed Big Data from various satellite platforms, small unmanned aerial systems, airborne systems, in situ and proximal sensors, brings both challenges and opportunities for Smart Farming which requires high spatial resolution and near real-time mapping capabilities. Successes in crop health monitoring, stress identification, soil mapping, fertilizer and irrigation advisories, yield prediction and more have been achieved. This session seeks contributions across government institutions, universities, private corporations, and other nonprofit organizations. It will focus on showcasing research methodologies and applications for the use of high spatial resolution or high temporal frequency remotely sensed Big Data for Smart Farming applications. We invite you to share findings throughout the chain of data collection, storage, transfer, transformation, analytics and discuss how to achieve the goal of more productive and sustainable agriculture production.
Primary Convener:  Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States
Conveners:  Martha Anderson, USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States, Xiaoyuan Yang, The Climate Corporation San Francisco, San Francisco, CA, United States and Michael H Cosh, U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
Primary Liaison:  Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States
Chairs:  Xiaoyuan Yang, The Climate Corporation San Francisco, San Francisco, CA, United States, Martha Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Michael H Cosh, U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States and Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States
OSPA Liaison:  Michael H Cosh, U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States

Cross-Listed:
  • EP - Earth and Planetary Surface Processes
  • IN - Earth and Space Science Informatics
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

GRAPEX: A Project Integrating Ground, Aerial and Satellite Observations for Improved Water Management of Vineyards (Invited) (392418)
William P Kustas1, Kyle Knipper1, Martha Anderson2, Hector Nieto3, Alfonso F Torres-Rua4, Mac McKee5, John H Prueger6, Joseph G Alfieri7, Christopher Hain8, Lynn McKee9, Yun Yang10, Feng Gao11, Tiffany G Wilson9, Lawrence Hipps12, Maria Mar Alsina13, Nick Dokoozlian14 and Luis Sanchez13, (1)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, United States, (2)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (3)IRTA, Research and Technology Food and Agriculture, Lleida, Spain, (4)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (5)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (6)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, United States, (7)USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (8)NASA Marshall Space Flight Cetner, Huntsville, United States, (9)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (10)University of Maryland College Park, ESSIC, College Park, MD, United States, (11)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (12)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (13)E&J Gallo, Viticulture Research, Modesto, United States, (14)E&J Gallo, Winegrowing Research, Modesto, United States
The promise and challenges of small unmanned aerial systems (sUAS) for agricultural research in the Long-Term Agroecosystem Research (LTAR) network. (410844)
Alisa Coffin, USDA-Agricultural Research Service, Tifton, GA, United States and Pat Clark, USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, United States
Mapping within-season crop growth stages at field scales using multi-sensor remote sensing data: opportunities and challenges (399045)
Feng Gao, USDA, ARS, Beltsville, United States, Donghui Xie, Beijing Normal University, Faculty of Geographical Science, Beijing, China, Liang Sun, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Martha Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Xiaoyang Zhang, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States and Zhengwei Yang, USDA National Agricultural Statistics Service, Research and Development Division, Washington, United States
Aerial insights: Large Scale Crop Health Evaluation Using UAV Imagery and Machine Learning (448173)
Boyan Peshlov1, Nan An1, Bikash Basnet1, Weilin Wang1 and Hojin Kim2, (1)The Climate Corporation, Saint Louis, MO, United States, (2)KIOST Korea Institute of Ocean Science and Technology, Marine Natural Disaster Research Department, Busan, South Korea
Assessing Separability of UAS-Derived Vegetation Indices for Detecting Plant Stress Due to Iron Chlorosis (396771)
Isabel Antoinette Garcia, Texas A&M University Corpus Christi, Corpus Christi, TX, United States, Michael J Starek, Texas A&M University at Corpus Christi, Corpus Christi, United States and Michael J Brewer, Texas Agrilife Research and Extension Center, Corpus Christi, TX, United States
Capturing diurnal variation of phenotypic traits for breeding plots using UNL Field Plant Phenotyping Facility (457403)
Geng Bai1, Yufeng Ge2, Bryan Leavitt3, John Arthur Gamon4, Yi Qi5, Tala Awada6, George Graef7, Suat Irmak8, James C Schnable9, David Scoby9 and Vincent Stoerger10, (1)University of Nebraska Lincoln, Department of Biological Systems Engineering, Lincoln, NE, United States, (2)University of Nebraska Lincoln, Department of Biological Systems Engineering, Lincoln, United States, (3)University of Nebraska Lincoln, School of Nature Resources, Lincoln, NE, United States, (4)University of Nebraska-Lincoln, Lincoln, United States, (5)University of California, Los Angeles, Earth, Planetary, and Space Science, Los Angeles, United States, (6)University of Nebraska Lincoln, Lincoln, United States, (7)University of Nebraska Lincoln, Agronomy and Horticulture, Lincoln, NE, United States, (8)University of Nebraska Lincoln, Biological Systems Engineering, Lincoln, NE, United States, (9)University of Nebraska Lincoln, Department of Agronomy and Horticulture, Lincoln, United States, (10)University of Nebraska Lincoln, Greenhouse Innovation Center, Lincoln, NE, United States
Combining CubeSat and conventional satellite sensing for daily mapping of in-field LAI (421907)
Rasmus Houborg, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Brookings, SD, United States
CWSI derived from Landsat 8 thermal imagery as an affordable alternative to high resolution imagery for irrigation management in California vineyards (469278)
Maria Mar Alsina, E & J Gallo Winery, Modesto, CA, United States, Samuel Ortega-Farias, Universidad de Talca, CITRA, Talca, Chile, Nicolas E Bambach, University of California Davis, Department of Viticulture and Enology, Davis, United States, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Luis Sanchez, E&J Gallo, Viticulture Research, Modesto, United States, Lawrence Hipps, Utah State University, Plants, Soils and Climate Department, Logan, United States, Lynn McKee, U. S. Department of Agriculture, Agricultural Research Service, 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, United States, Andrew J McElrone, United States Department of Agriculture, Agricultural Research Service, Crops Pathology and Genetics Research Unit, Davis, United States, Tiffany G Wilson, USDA-ARS Hydology and Remote Sensing Lab, Beltsville, MD, United States, Martha Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Alfonso F Torres-Rua, Utah State University, Department of Civil and Environmental Engineering, Logan, United States, Mac McKee, Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, Casey Ryan, E & J Gallo Winery, Viticulture, Chemistry and Enology, Modesto, United States and Nick Dokoozlian, E&J Gallo, Winegrowing Research, Modesto, United States

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