Jared A. Elmore, Ph.D., M.S., B.S., A.S.
Affiliations: | 2011-2016 | Biology | University of South Alabama, Mobile, AL, United States |
2016-2020 | Natural Resource Ecology and Management | Oklahoma State University, Stillwater, OK, United States | |
2020-2023 | Wildlife, Fisheries and Aquaculture | Mississippi State University, Starkville, MS, United States | |
2023- | Forestry and Environmental Conservation | Clemson University, Clemson, SC, United States |
Area:
Terrestrial EcologyWebsite:
https://jaredaelmore.wixsite.com/elmore-ecologyGoogle:
"Jared Elmore"Bio:
Parents
Sign in to add mentorYlenia Chiari | grad student | 2013-2016 | University of South Alabama (Evolution Tree) |
Scott Loss | grad student | 2016-2020 | Oklahoma State University (Evolution Tree) |
Raymond Iglay | post-doc | 2020-2023 | Mississippi State University (Evolution Tree) |
Children
Sign in to add traineeAllison Dawn | grad student | 2024- | Clemson University |
Percival Marshall | grad student | 2024- | Clemson University |
Allison Rees | grad student | 2024- | Clemson University |
Marisa Zimmerman | grad student | 2024- | Clemson University |
Morgan Warner | grad student | 2025- | Clemson University |
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Publications
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Jones LR, Mensah C, Elmore JA, et al. (2024) Heating decoys to mimic thermal signatures of live animals for drones. Methodsx. 13: 102933 |
Samiappan S, Krishnan BS, Dehart D, et al. (2024) Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence. Database : the Journal of Biological Databases and Curation. 2024 |
Elmore JA, Schultz EA, Jones LR, et al. (2023) Evidence on the efficacy of small unoccupied aircraft systems (UAS) as a survey tool for North American terrestrial, vertebrate animals: a systematic map. Environmental Evidence. 12: 3 |
Krishnan BS, Jones LR, Elmore JA, et al. (2023) Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys. Scientific Reports. 13: 10385 |
Zhou M, Elmore JA, Samiappan S, et al. (2021) Improving Animal Monitoring Using Small Unmanned Aircraft Systems (sUAS) and Deep Learning Networks. Sensors (Basel, Switzerland). 21 |
Coe ST, Elmore JA, Elizondo EC, et al. (2021) Free-ranging domestic cat abundance and sterilization percentage following five years of a trap–neuter–return program Wildlife Biology. 2021 |
Elmore JA, Curran MF, Evans KO, et al. (2021) Evidence on the effectiveness of small unmanned aircraft systems (sUAS) as a survey tool for North American terrestrial, vertebrate animals: a systematic map protocol Environmental Evidence. 10 |
Elmore JA, Riding CS, Horton KG, et al. (2021) Predicting bird‐window collisions with weather radar Journal of Applied Ecology. 58: 1593-1601 |
Elmore JA, Hager SB, Cosentino BJ, et al. (2020) Correlates of bird collisions with buildings across three North American countries. Conservation Biology : the Journal of the Society For Conservation Biology |