Application of UAV-Based Methodology for Census of an Endangered Plant Species in a Fragile Habitat

Autor:	Susan E. Meyer, Kody R. Rominger
Rok vydání:	2019
Předmět:	010504 meteorology & atmospheric sciences 0211 other engineering and technologies Endangered species Biodiversity 02 engineering and technology drone Spatial distribution 01 natural sciences Arctomecon humilis object recognition UAS (unmanned aerial system) Altitude edaphic endemism lcsh:Science biodiversity 021101 geological & geomatics engineering 0105 earth and related environmental sciences conservation dwarf bear-poppy gypsum habitat classification UAV (unmanned aerial vehicle) biology Ground sample distance Census biology.organism_classification Geography Habitat General Earth and Planetary Sciences lcsh:Q Cartography
Zdroj:	Remote Sensing; Volume 11; Issue 6; Pages: 719 Remote Sensing, Vol 11, Iss 6, p 719 (2019)
ISSN:	2072-4292
DOI:	10.3390/rs11060719
Popis:	Accurate census is essential for endangered plant management, yet lack of resources may make complete on-the-ground census difficult to achieve. Accessibility, especially for species in fragile habitats, is an added constraint. We examined the feasibility of using UAV (unmanned aerial vehicle, drone)-based imagery for census of an endangered plant species, Arctomecon humilis (dwarf bear-poppy), an herbaceous perennial gypsophile endemic of the Mojave Desert, USA. Using UAV technology, we captured imagery at both 50-m altitude (census) and 15-m altitude (validation) at two populations, White Dome (325 ha) and Red Bluffs (166 ha). The imagery was processed into orthomosaics that averaged 2.32 cm ground sampling distance (GSD) for 50-m imagery and 0.73 cm GSD for 15-m imagery. Putative poppy plants were marked in the 50-m imagery according to predefined criteria. We then used the 15-m imagery from each area to verify the identification accuracy of marked plants. Visual evaluation of the 50-m imagery resulted in errors of both commission and omission, mainly caused by failure to accurately identify or detect small poppies (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a3239b450ba35bd4ab28963483cdeda https://doi.org/10.3390/rs11060719 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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