B53H:
Unmanned Aerial Systems (UAS) Applications in Agriculture and Natural Resource Management Posters

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Session ID#: 13731

Session Description:
Unmanned aerial systems (UAS) are fast becoming the next generation tools for remote sensing applications in agriculture and natural resource management. The low operational cost, high temporal and spatial resolutions, easy-to-use controlling systems and high flexibility in image acquisition and planning make UAS very popular compared to other remote sensing systems. While numerous remote sensing studies in agriculture have been conducted over the last decades, there had been a few studies that used UAS-based remote sensing for developing and implementing agricultural management strategies and high throughput plant phenotyping. This session aims to highlight novel applications of UAS for agriculture and natural resource management. We invite contributions from researchers utilizing both active and passive remote sensing technologies and latest data analysis methodologies for UAS remote sensing.
Primary Convener:  Nithya Rajan, Texas A&M University, Soil and Crop Sciences, College Station, United States
Conveners:  Prasanna H Gowda, USDA-ARS Grazinglands Research Laboratory, El Reno, OK, United States, Song Cui, Middle Tennessee State University, Murfreesboro, TN, United States and Sanaz Shafian, Texas A&M University College Station, College Station, TX, United States
Chairs:  Song Cui, Middle Tennessee State University, Murfreesboro, TN, United States, Sanaz Shafian, Texas A&M University College Station, College Station, TX, United States, Prasanna H Gowda, USDA-ARS Grazinglands Research Laboratory, El Reno, OK, United States and Nithya Rajan, Texas A&M University, Soil and Crop Sciences, College Station, United States
OSPA Liaison:  Sanaz Shafian, Texas A&M University College Station, College Station, TX, United States
Co-Organized with:
Hydrology, and Hydrology

Proposed Co-Organized Session with:
  • H - Hydrology
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Application of Unmanned Aerial Systems in Spatial Downscaling of Landsat VIR imageries of Agricultural Fields (126476)
Leila Hassan Esfahani1, Ardeshir Ebtehaj2, Alfonso F Torres-Rua3 and Mac McKee1,4, (1)Utah State University, Logan, UT, United States, (2)University of Minnesota Twin Cities, Minneapolis, United States, (3)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, United States, (4)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States
Semi-automatic digital image impact assessments of Maize Lethal Necrosis (MLN) at the leaf, whole plant and plot levels (134173)
Shawn Carlisle Kefauver1, Omar Vergara-Diaz2, Georges El-Haddad3, Biswanath Das4, L.M. Suresh4, Jill Cairns5 and Jose Luis Araus2, (1)University of Barcelona, Barcelona, Spain, (2)University of Barcelona, B.E.E.C.A., Barcelona, Spain, (3)Software Engineer, Floor 2, Nassim El Kayem Bldg, Jeita, Lebanon, (4)CIMMYT, ICRAF House, United Nations Avenue, Gigiri, Nairobi, Kenya, (5)CIMMYT, Southern Africa Regional Office, Harare, Zimbabwe
Vicarious Calibration of UAS Optical and Temperature Imagery for Scientific Remote Sensing Applications (135998)
Alfonso F Torres-Rua, Utah State University, Department of Civil and Evironmental Egineering, Logan, UT, United States
Methods for Measuring Effects of Changes in Tamarisk Evapotranspiration on Groundwater at Southwestern Uranium Mill Tailings Sites (142812)
William Waugh1, Pamela L Nagler2, John Vogel3, Edward Glenn4, Uyen Nguyen4 and Christopher J. Jarchow5, (1)Navarro Research and Engineering, Grand Junction, CO, United States, (2)USGS SW Biological Sci Ctr, Tucson, AZ, United States, (3)Western Geographic Science Center, Menlo Park, CA, United States, (4)University of Arizona, Tucson, AZ, United States, (5)University of Arizona, Biosystems Engineering, Tucson, AZ, United States
BLM Unmanned Aircraft Systems (UAS) Resource Management Operations (152735)
Michael C. Hatfield, University of Alaska Fairbanks, Alaska Center for Unmanned Aircraft Systems Integration (ACUASI), Geophysical Institute, Fairbanks, AK, United States, Amy Lynn Breen, University of Alaska Fairbanks, International Arctic Research Center, Fairbanks, United States and Richard Thurau, Bureau of Land Management, National Operations Center, Denver, CO, United States
UAV Applications in Hydrology: A Case Study in Gökova Basin, Muğla, Turkey (156270)
Çağdaş Sağır1, Bedri Kurtulus1, Günseli Erdem1, Özgür Avşar1, Dilek Funda Kurtuluş2, Evren Tunca3, Mathieu Le Coz4 and Moumtaz Razack4, (1)Muğla Sıtkı Koçman University, Department of Geological Engineering, Mugla, Turkey, (2)Middle East Technical University, Aerospace Engineering Department, Ankara, Turkey, (3)Ordu University, Depertment of Marine Sciences and Technologies Engineering, Ordu, Turkey, (4)University of Poitiers, Fundamental and Applied Sciences, Poitiers, France
Deriving Temporal Height Information for Maize Breeding (178853)
Lonesome Malambo1, Sorin C Popescu2, Seth Murray3, Ryan Sheridan4, Grant Richardson3 and Eric Putman4, (1)Texas A&M University College Station, Department of Ecology and Conservation Biology, College Station, TX, United States, (2)Texas A&M University, Department of Ecology and Conservation Biology, College Station, United States, (3)Texas A&M University, Department of Soil and Crop Sciences, College Station, TX, United States, (4)Texas A & M University College Station, College Station, TX, United States
Using a fixed wing UAV remote sensing system for Sorghum Crop Phenotyping (179390)
Sanaz Shafian1, Nithya Rajan2, Ronnie Schnell1, Muthukumar Bagavathiannan1, John Valasek1, Dorothy Menefee1, Pramod Pokhrel3, Jeff Olsenholler1 and Yeyin Shi1, (1)Texas A&M University College Station, College Station, TX, United States, (2)Texas A&M University, Soil and Crop Sciences, College Station, United States, (3)Texas A&M University College Station, College Station, United States

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