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Remote Sensing of Coastal Ecosystems and Environments

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Remote Sensing and Modeling

Part of the book series: Coastal Research Library ((COASTALRL,volume 9))

Abstract

Advances in sensor design and data analysis techniques are making remote sensing systems suitable for monitoring coastal ecosystems and their changes. Hyperspectral imagers, LiDAR and radar systems are available for mapping coastal marshes, submerged aquatic vegetation, coral reefs, beach profiles, algal blooms, and concentrations of suspended particles and dissolved substances in coastal waters. Since coastal ecosystems have high spatial complexity and temporal variability, they benefit from new satellites, carrying sensors with fine spatial (0.4–4 m) or spectral (200 narrow bands) resolution. Imaging radars are sensitive to soil moisture and inundation and can detect hydrologic features beneath the vegetation canopy. Multi-sensor and multi-seasonal data fusion techniques are significantly improving coastal land cover mapping accuracy and efficiency. Using time-series of images enables scientists to study coastal ecosystems and to determine long- term trends and short- term changes.

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Authors and Affiliations

  1. School of Marine Science and Policy, University of Delaware, Newark, DE, 19716, USA

    Victor V. Klemas

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  1. Florida Atlantic University, Boca Raton, Florida, USA

    Charles W. Finkl

  2. Coastal Education & Research Foundation, Coconut Creek, Florida, USA

    Christopher Makowski

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Klemas, V.V. (2014). Remote Sensing of Coastal Ecosystems and Environments. In: Finkl, C., Makowski, C. (eds) Remote Sensing and Modeling. Coastal Research Library, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-06326-3_1

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