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Remote Sensing for Wetland Mapping and Historical Change Detection at the Nisqually River Delta

Author

Listed:
  • Laurel Ballanti

    (U.S. Geological Survey, Western Geographic Science Center, 345 Middlefield Rd, Menlo Park, CA 94025, USA)

  • Kristin B. Byrd

    (U.S. Geological Survey, Western Geographic Science Center, 345 Middlefield Rd, Menlo Park, CA 94025, USA)

  • Isa Woo

    (U.S. Geological Survey, Western Ecological Research Center, 505 Azuar Drive, Vallejo, CA 94592, USA)

  • Christopher Ellings

    (Nisqually Indian Tribe, 4820 She-Nah-Num Dr SE, Olympia, WA 98513, USA)

Abstract

Coastal wetlands are important ecosystems for carbon storage and coastal resilience to climate change and sea-level rise. As such, changes in wetland habitat types can also impact ecosystem functions. Our goal was to quantify historical vegetation change within the Nisqually River watershed relevant to carbon storage, wildlife habitat, and wetland sustainability, and identify watershed-scale anthropogenic and hydrodynamic drivers of these changes. To achieve this, we produced time-series classifications of habitat, photosynthetic pathway functional types and species in the Nisqually River Delta for the years 1957, 1980, and 2015. Using an object-oriented approach, we performed a hierarchical classification on historical and current imagery to identify change within the watershed and wetland ecosystems. We found a 188.4 ha (79%) increase in emergent marsh wetland within the Nisqually River Delta between 1957 and 2015 as a result of restoration efforts that occurred in several phases through 2009. Despite these wetland gains, a total of 83.1 ha (35%) of marsh was lost between 1957 and 2015, particularly in areas near the Nisqually River mouth due to erosion and shifting river channels, resulting in a net wetland gain of 105.4 ha (44%). We found the trajectory of wetland recovery coincided with previous studies, demonstrating the role of remote sensing for historical wetland change detection as well as future coastal wetland monitoring.

Suggested Citation

  • Laurel Ballanti & Kristin B. Byrd & Isa Woo & Christopher Ellings, 2017. "Remote Sensing for Wetland Mapping and Historical Change Detection at the Nisqually River Delta," Sustainability, MDPI, vol. 9(11), pages 1-32, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1919-:d:116448
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    References listed on IDEAS

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    Cited by:

    1. João Paulo Delapasse Simioni & Laurindo Antonio Guasselli & Victor Fernandez Nascimento & Luis Fernando Chimelo Ruiz & Tassia Fraga Belloli, 2020. "Integration of multi-sensor analysis and decision tree for evaluation of dual and quad-Pol SAR in L- and C-bands applied for marsh delineation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5603-5620, August.
    2. Davis, Melanie J. & Woo, Isa & De La Cruz, Susan E.W., 2019. "Development and implementation of an empirical habitat change model and decision support tool for estuarine ecosystems," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    3. Ling Luo & Dehua Mao & Zongming Wang & Baojia Du & Hengqi Yan & Bai Zhang, 2018. "Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    4. Karim Ennouri & Slim Smaoui & Mohamed Ali Triki, 2021. "Detection of Urban and Environmental Changes via Remote Sensing," Circular Economy and Sustainability,, Springer.

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