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A Practical Assessment of Using sUASs (Drones) to Detect and Quantify Wright Fishhook Cactus ( Sclerocactus wrightiae L.D. Benson) Populations in Desert Grazinglands

Thomas H. Bates, Val J. Anderson, Robert L. Johnson, Loreen Allphin, Dustin Rooks and Steven L. Petersen
Additional contact information
Thomas H. Bates: Tuscarora Field Office, Bureau of Land Management, Elko District 3900 E Idaho Street, Elko, NV 89801, USA
Val J. Anderson: Department of Plant and Wildlife Sciences, Brigham Young University, 4105 LSB, Provo, UT 84602, USA
Robert L. Johnson: Department of Biology, Brigham Young University, 4102 LSB, Provo, UT 84602, USA
Loreen Allphin: Department of Plant and Wildlife Sciences, Brigham Young University, 4105 LSB, Provo, UT 84602, USA
Dustin Rooks: Richfield Field Office, Bureau of Land Management, 150 E 900 N, Richfield, UT 84701, USA
Steven L. Petersen: Department of Plant and Wildlife Sciences, Brigham Young University, 4105 LSB, Provo, UT 84602, USA

Land, 2022, vol. 11, issue 5, 1-13

Abstract: Obtaining accurate plant population estimates has been integral in listing, recovery, and delisting species under the U.S. Endangered Species Act of 1973 and for monitoring vegetation in response to livestock grazing. Obtaining accurate population estimates remains a daunting and labor-intensive task. Small unmanned aircraft systems (sUASs or drones) may provide an effective alternative to ground surveys for rare and endangered plants. The objective of our study was to evaluate the efficacy of sUASs (DJI Phantom 4 Pro) for surveying the Wright fishhook cactus ( Sclerocactus wrightiae ), a small (1–8 cm diameter) endangered species endemic to grazinglands in the southwest desert of Utah, USA. We assessed sUAS-based remotely sensed imagery to detect and count individual cacti compared to ground surveys and estimated optimal altitudes (10 m, 15 m, or 20 m) for collecting imagery. Our results demonstrated that low altitude flights provided the best detection rates ( p < 0.001) and counts ( p < 0.001) compared to 15 m and 20 m. We suggest that sUASs can effectively locate cactus within grazingland areas, but should be coupled with ground surveys for higher accuracy and reliability. We also acknowledge that these technologies may have limitations in effectively detecting small, low-growing individual plants such as the small and obscure fishhook cactus species.

Keywords: sUAS; drones; plant surveys; fishhook cactus; endangered plants; high resolution remote sensing; grazingland monitoring (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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