B036
Remote Sensing–Based Monitoring of Forage Production and Quality I Posters

Wednesday, 9 December 2020: 04:00-20:59
Poster
Primary Convener:  Yuting Zhou, Oklahoma State University Main Campus, Department of Geography, Stillwater, OK, United States; Oklahoma State University, Geography, Stillwater, OK, United States
Conveners:  K. Colton Flynn, USDA-ARS, Grassland Soil and Water Research Laboratory, Temple, United States and Pradeep Wagle, USDA-ARS Grazinglands Research Laboratory, El Reno, OK, United States
Primary Liaison:  Yuting Zhou, Oklahoma State University, Geography, Stillwater, OK, United States; Oklahoma State University Main Campus, Department of Geography, Stillwater, OK, United States
Chairs:  Yuting Zhou, Oklahoma State University, Geography, Stillwater, OK, United States; Oklahoma State University Main Campus, Department of Geography, Stillwater, OK, United States and K. Colton Flynn, Oklahoma State University, Fayetteville, United States
OSPA Liaison:  Yuting Zhou, Oklahoma State University, Geography, Stillwater, OK, United States; Oklahoma State University Main Campus, Department of Geography, Stillwater, OK, United States
 
Deriving Gross Primary Productivity (GPP) across different subtropical grasslands of Florida Using Landsat-8 corroborated by onsite Eddy Covariance GPP estimates (753861)
Xukai Zhang1, Nuria Gomez-Casanovas2, Raoul K Boughton3, Elizabeth Boughton4, Amartya K Saha1, Hilary Swain5, Carl Bernacchi6, Evan H DeLucia7, Jed P Sparks8, Nicholas DeLucia9, Sam Chamberlain10, Caitlin Moore11, Rosvel G Bracho12 and Maria Silveira13, (1)Archbold Biological Station, Venus, FL, United States, (2)University of Illinois at Urbana-Champaign, Institute for Sustainability, Energy, and Environment; Center for Advanced Bioenergy and Bioproducts Innovation; Carl R. Woese Institute for Genomic Biology, Urbana, IL, United States, (3)University of Florida, Range Cattle Research and Education Center, Ona, FL, United States, (4)Buck Island Ranch, Archbold Biological Station, Lake Placid, DC, United States, (5)MacArthur Agro-ecology Research Center, Archbold Biological Station, Lake Placid, FL, United States, (6)University of Illinois at Urbana-Champaign, Department of Plant Biology, Urbana, IL, United States, (7)University of Illinois at Urbana-Champaign, Center for Bioenergy and Bioproducts Innovation; Institute for Sustainability, Energy, and Environment; Department of Plant Biology; Carl R. Woese Institute for Genomic Biology, Urbana, IL, United States, (8)Cornell University, Ecology and Evolutionary Biology, Ithaca, NY, United States, (9)University of Illinois, urbana, IL, United States, (10)University of California Berkeley, Dept of Environmental Science, Policy, & Management, Berkeley, CA, United States, (11)University of Illinois at Urbana Champaign, Urbana, IL, United States, (12)University of Florida, School of Forest Resources and Conservation, Gainesville, FL, United States, (13)University of Florida, Range Cattle Research and Education Center, Ona, United States
 
Detecting frequent harvesting of alfalfa using active and passive remote sensing (709180)
Yuting Zhou, Oklahoma State University Main Campus, Department of Geography, Stillwater, OK, United States, K. Colton Flynn, USDA ARS, Grassland Soil and Water Research Laboratory, Temple, TX, United States, Prasanna Gowda, USDA-ARS, El Reno, United States, Pradeep Wagle, USDA-ARS Grazinglands Research Laboratory, El Reno, OK, United States, Shengfang Ma, Independent Researcher, Stillwater, United States, Vijaya Gopal Kakani, Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States and Jean L. Steiner, Kansas State University, Adjunct, Manhattan, KS, United States; USDA ARS, Manhattan, United States
 
Developing Allometric Equations for Exotic Annual Grasses using Extremely Close-Range Structure-from-Motion (SfM) in a Semi-Arid Ecosystem (708777)
Monica Vermillion1, Josh Enterkine1, Sergio Arispe2, April Hulet3, William Price3 and Nancy F Glenn1, (1)Boise State University, Department of Geosciences, Boise, ID, United States, (2)Oregon State University, College of Agriculture Sciences, Malheur Co Extension, OR, United States, (3)University of Idaho, College of Natural Resources, Boise, United States
 
Integrating remote measurements and environmental covariates to estimate forage yield and nutritive value (Invited) (695564)
Reagan Noland1, M. Scott Wells2, Tyler Tiede3, Jeffrey A Coulter4, Craig Sheaffer2, John M Baker5 and Krishona Martinson2, (1)Texas A&M University, San Angelo, TX, United States, (2)University of Minnesota, Saint Paul, MN, United States, (3)Corteva Agriscience, Des Moines, IA, United States, (4)University of Minnesota Twin Cities, Agronomy and Plant Genetics, Saint Paul, United States, (5)USDA ARS, Saint Paul, MN, United States
 
Remote Sensing of Tall Fescue (Schedonorus arundinaceus) Plant Health with Varying Endophyte and Fertilizer Types: A Case for Improving Poultry Manuresheds (728887)
K. Colton Flynn, USDA-ARS, Grassland Soil and Water Research Laboratory, Temple, United States, Trey Lee, University of Oklahoma, Geography and Environmental Sustainability, Norman, OK, United States, Dinku Endale, USDA ARS, Southeast Watershed Research Laboratory, Tifton, GA, United States, Alan Franzluebers, USDA ARS, Plant Science Research Unit, Raleigh, NC, United States, Shengfang Ma, Independent Researcher, Stillwater, United States and Yuting Zhou, Oklahoma State University, Geography, Stillwater, OK, United States
 
The potential of UAV-borne imagery for assessing the productivity, quality and botanical composition of grasslands (Invited) (683314)
Michael Wachendorf, Esther Grüner, Jayan Wijesingha and Thomas Astor, Universität Kassel, Grassland Science and Renewable Plant Resources, Witzenhausen, Germany
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