B069
Mapping and Monitoring Irrigated Agriculture: New Methods and Synergies
Session ID#: 80460
Session Description:
Cropland irrigation is an intensified agricultural land use at the center of the Food-Energy-Water (FEW) nexus. It may employ water from different sources (surface- and ground water; blue-, green-, and graywater, etc.), enhance crop productivity, and affect water and energy cycles. Recent advances in mapping and monitoring using models and Earth observations (e.g., optical, radar, thermal) are contributing to creating actionable information about irrigation that is comprehensive, consistent, and timely. Understanding and quantifying irrigation practices and patterns are critical to understanding water use, quality, and quantity, and food supply. Topics for this session include sustainability, climate feedback effects, resilience, risk reduction practices, modeling, adaptation, water conservation, energy usage, pollution, salinization, soils, food security, area estimation, productivity, yield, historical trends, and blue, green, or gray water usage in the context of the FEW nexus.
Index Terms:
0402 Agricultural systems [BIOGEOSCIENCES]
0495 Water/energy interactions [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1842 Irrigation [HYDROLOGY]
Primary Convener: Jesslyn F Brown, USGS/EROS, Sioux Falls, SD, United States
Conveners: Gabriel B Senay, U.S. Geological Survey Earth Resources Observation and Science, EROS/ North Central Climate Science Center, Fort Collins, CO, United States and Jillian M Deines, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States
Primary Liaison: Jesslyn F Brown, USGS/EROS, Sioux Falls, SD, United States
Mapping and monitoring irrigated agriculture in Western Bahia, Brazil – Implications for regional water security (486380)
Marcos Heil Costa1, Ana Beatriz Santos1, Raphael Pousa2, Fernando Martins Pimenta1, Marina Castro3, Igor Boninsenha4 and Everardo C. Mantovani5, (1)UFV Federal University of Vicosa, Vicosa, Brazil, (2)UFV, Vicosa - MG, Brazil, (3)UFV, Viçosa - MG, Brazil, (4)UFV: Federal University of Vicosa, Vicosa, MG, Brazil, (5)UFV Federal University of Vicosa, Vicosa, MG, Brazil
Performance of Multi-Radar Multi-Sensor in Monitoring Precipitation Under Extreme Rainfall Events in Harris County, Texas (489088)
Hamideh Habibi1, Ripendra Awal1, Almoutaz El Hassan1 and Ali Fares2, (1)Prairie View A & M University, Prairie View, TX, United States, (2)Prairie View A&M University, Prairie View, TX, United States
Feedbacks between irrigation and climate from field to regional scales in the Midwest US (Invited) (490228)
Mallika Arudi Nocco, University of California Davis, Department of Land, Air, and Water Resources, Davis, CA, United States, Robert A. Smail, Department of Natural Resources Wisconsin, Water Use Section, Madison, WI, United States, Christopher Ester, USDA Forest Service, Chequamegon - Nicolet National Forest, Rhinelander, WI, United States and Christopher J Kucharik, University of Wisconsin Madison, Department of Agronomy, Madison, WI, United States
High Resolution Irrigated Lands Mapping in the Western United States (Invited) (491120)
David Ketchum, University of Montana, Missoula, MT, United States, Kelsey Jencso, University of Montana, Montana Climate Office, Missoula, MT, United States and Justin L Huntington, Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, United States
Mapping the Extent of Center Pivots and Associated Irrigation: A Comparison of an Annual Time-Series of Landsat and PlanetScope Imagery (515211)
Kasper Johansen1, Oliver Lopez2, Bruno Aragon2, Yoann Malbeteau2 and Matthew McCabe2, (1)King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Thuwal, Saudi Arabia, (2)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Detecting Irrigation in Nuanced and Diverse Landscapes: A Comparison of Neural Networks and Forest-based Classifiers (525860)
Jeremy Rapp1, Anthony D Kendall1, Jillian M Deines2 and David W Hyndman1, (1)Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States, (2)Stanford University, Department of Earth System Science, Stanford, CA, United States
Assessing the contribution of cooling and water supply to yield benefits due to irrigation (571297)
Yan Li, Beijing Normal University, Faculty of Geographical Sciences, Beijing, China, Kaiyu Guan, University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Bin Peng, University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, IL, United States, Trenton Franz, University of Nebraska Lincoln, Lincoln, NE, United States, Brian Wardlow, University of Nebraska-Lincoln, Lincoln, NE, United States and Ming Pan, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
Monitoring agricultural water use in Saudi Arabia: providing benchmark estimates from the field-scale to regional-scale (571760)
Oliver Lopez1, Kasper Johansen2, Ting Li1, Bruno Aragon1 and Matthew McCabe1, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Thuwal, Saudi Arabia
Surface renewal measurements in roughness sublayer for water management in irrigated orchards (590144)
Kosana Suvocarev, University of California, Davis, Department of Land, Air and Water Resources, Davis, CA, United States, Giulia Marino, University of California, Davis, Davis, CA, United States, Kari L Arnold, University of California-Division of Agriculture and Natural Resources, Modesto, United States, Zaccaria Daniele, University of California Davis, Department of Land, Air, and Water Resources, Davis, CA, United States, Cayle Little, California Department of Water Resources, DWR, Sacramento, United States, Khaled M Bali, University of California, Kearney Agricultural Research and Extension Center, Division of Agriculture and Natural Resources, Parlier, CA, United States, Blake Sanden, University of California, Division of Agriculture and Natural Resources, Bakersfield, United States and Richard L Snyder, University of California, Davis, CA, United States
Mapping annual irrigation extent at 30-m resolution across the United States, 1997-2017 (608796)
Yanhua Xie, University of Wisconsin Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, WI, United States, Tyler J Lark, University of Wisconsin - Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, WI, United States and Holly Gibbs, University of Wisconsin Madison, Department of Geography; Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, WI, United States
Mapping Irrigation with Fully Convolutional Neural Networks (616586)
Thomas Colligan1, Douglas Brinkerhoff1, David Ketchum1 and Marco P Maneta2, (1)University of Montana, Missoula, MT, United States, (2)University of Montana, Geosciences, Missoula, MT, United States
