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Journal article
Emerging Sensor Platforms Allow for Seagrass Extent Mapping in a Turbid Estuary and from the Meadow to Ecosystem Scale
Remote sensing (Basel, Switzerland), v 13(18), p3681
01 Sep 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Seagrass meadows are globally important habitats, protecting shorelines, providing nursery areas for fish, and sequestering carbon. However, both anthropogenic and natural environmental stressors have led to a worldwide reduction seagrass habitats. For purposes of management and restoration, it is essential to produce accurate maps of seagrass meadows over a variety of spatial scales, resolutions, and at temporal frequencies ranging from months to years. Satellite remote sensing has been successfully employed to produce maps of seagrass in the past, but turbid waters and difficulty in obtaining low-tide scenes pose persistent challenges. This study builds on an increased availability of affordable high temporal frequency imaging platforms, using seasonal unmanned aerial vehicle (UAV) surveys of seagrass extent at the meadow scale, to inform machine learning classifications of satellite imagery of a 40 km(2) bay. We find that object-based image analysis is suitable to detect seasonal trends in seagrass extent from UAV imagery and find that trends vary between individual meadows at our study site Bahia de San Quintin, Baja California, Mexico, during our study period in 2019. We further suggest that compositing multiple satellite imagery classifications into a seagrass probability map allows for an estimation of seagrass extent in turbid waters and report that in 2019, seagrass covered 2324 ha of Bahia de San Quintin, indicating a recovery from losses reported for previous decades.
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Details
- Title
- Emerging Sensor Platforms Allow for Seagrass Extent Mapping in a Turbid Estuary and from the Meadow to Ecosystem Scale
- Creators
- Johannes R. Krause - Drexel Univ, Dept Biodivers Earth & Environm Sci, Philadelphia, PA 19104 USAAlejandro Hinojosa-Corona - Ctr Invest Cient & Educ Super Ensenada, Dept Geol, Ensenada 22860, BC, MexicoAndrew B. Gray - Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USAElizabeth Burke Watson - Drexel University
- Publication Details
- Remote sensing (Basel, Switzerland), v 13(18), p3681
- Publisher
- Mdpi
- Number of pages
- 15
- Grant note
- Claudio Elia Memorial fellowships CA-R-ENS-5120-H / USDA NIFA Hatch project Association of American Geographers Marcus Fund W4188 / USDA Multi-State Project CN-16-147 / UC Mexus-CONACYT; Consejo Nacional de Ciencia y Tecnologia (CONACyT) Fulbright-Garcia Robles Scholar Award
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES)
- Web of Science ID
- WOS:000701461700001
- Scopus ID
- 2-s2.0-85115157658
- Other Identifier
- 991019182646104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Environmental Sciences
- Geosciences, Multidisciplinary
- Imaging Science & Photographic Technology
- Remote Sensing