{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T07:50:10Z","timestamp":1724399410623},"reference-count":53,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100009646","name":"Gulf Research Program","doi-asserted-by":"publisher","award":["NA"],"id":[{"id":"10.13039\/100009646","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"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.<\/jats:p>","DOI":"10.3390\/rs12040677","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T08:20:03Z","timestamp":1582186803000},"page":"677","source":"Crossref","is-referenced-by-count":15,"title":["Quantifying Intertidal Habitat Relative Coverage in a Florida Estuary Using UAS Imagery and GEOBIA"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2843-4965","authenticated-orcid":false,"given":"Michael C.","family":"Espriella","sequence":"first","affiliation":[{"name":"Fisheries and Aquatic Sciences Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32653, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4777-3348","authenticated-orcid":false,"given":"Vincent","family":"Lecours","sequence":"additional","affiliation":[{"name":"Fisheries and Aquatic Sciences Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32653, USA"},{"name":"Geomatics Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Peter","family":"C. Frederick","sequence":"additional","affiliation":[{"name":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Edward","family":"V. Camp","sequence":"additional","affiliation":[{"name":"Fisheries and Aquatic Sciences Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32653, USA"}]},{"given":"Benjamin","family":"Wilkinson","sequence":"additional","affiliation":[{"name":"Geomatics Program, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Seavey, J.R., Pine, W.E., Frederick, P.C., Sturmer, L., and Berrigan, M. (2011). Decadal changes in oyster reefs in the Big Bend of Florida\u2019s Gulf Coast. 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