DOI: 10.3390/rs12040677
论文题名: Quantifying intertidal habitat relative coverage in a Florida estuary using UAS imagery and GEOBIA
作者: Espriella M.C. ; Lecours V. ; Frederick P.C. ; Camp E.V. ; Wilkinson B.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 4 语种: 英语
英文关键词: Coastal habitat
; Drone
; Eastern oyster
; ECognition
; Florida
; Geographic object-based image analysis
; Habitat mapping
; UAS
; UAV
; Unoccupied aircraft system
Scopus关键词: Coastal zones
; Drones
; Image analysis
; Molluscs
; Reefs
; Sea level
; Shore protection
; Unmanned aerial vehicles (UAV)
; Water filtration
; Wetlands
; Aircraft systems
; Coastal habitats
; Eastern oyster
; eCognition
; Florida
; Geographic object-based image analysis
; Habitat mapping
; Ecosystems
英文摘要: Intertidal habitats like oyster reefs and salt marshes provide vital ecosystem services including shoreline erosion control, habitat provision, and water filtration. However, these systems face significant global change as a result of a combination of anthropogenic stressors like coastal development and environmental stressors such as sea-level rise and disease. Traditional intertidal habitat monitoring techniques are cost and time-intensive, thus limiting how frequently resources are mapped in a way that is often insufficient to make informed management decisions. Unoccupied aircraft systems (UASs) have demonstrated the potential to mitigate these costs as they provide a platform to rapidly, safely, and inexpensively collect data in coastal areas. In this study, a UAS was used to survey intertidal habitats along the Gulf of Mexico coastline in Florida, USA. The structure from motion photogrammetry techniques were used to generate an orthomosaic and a digital surface model from the UAS imagery. These products were used in a geographic object-based image analysis (GEOBIA) workflow to classify mudflat, salt marsh, and oyster reef habitats. GEOBIA allows for a more informed classification than traditional techniques by providing textural and geometric context to habitat covers. We developed a ruleset to allow for a repeatable workflow, further decreasing the temporal cost of monitoring. The classification produced an overall accuracy of 79% in classifying habitats in a coastal environment with little spectral and textural separability, indicating that GEOBIA can differentiate intertidal habitats. This method allows for effective monitoring that can inform management and restoration efforts. © 2020 by the author. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159826
Appears in Collections: 气候变化与战略
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作者单位: Fisheries and Aquatic Sciences Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32653, United States; Geomatics Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, United States; Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, United States
Recommended Citation:
Espriella M.C.,Lecours V.,Frederick P.C.,et al. Quantifying intertidal habitat relative coverage in a Florida estuary using UAS imagery and GEOBIA[J]. Remote Sensing,2020-01-01,12(4)