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Coral Reef Remote Sensing pp 51–78Cite as

Multispectral Applications

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Abstract

Multispectral satellite sensors have been used widely for coral reef applications. There is a long history of multispectral image acquisition, second to photography, with data available at global coverage for relatively low cost. This chapter summarizes the history, observation targets, and image processing methods of multispectral remote sensing of coral reefs. A variety of applications are presented in a progression from image classification and mapping to monitoring and modeling. Insight into the future directions of multispectral coral reef imaging is then provided, with a focus on higher spatial resolution, higher spectral resolution, greater data acquisition capacity, and integration with other data sources.

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Suggested Reading

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Acknowledgments

I thank J.A. Goodman, S.J. Purkis and S.R. Phinn for invitation to this book project. This chapter is a contribution to the Biodiversity Priority Program at National Institute for Environmental Studies and to the Strategic Research and Development Project S-9 supported by the Environment Research & Technology Development Fund of the Ministry of the Environment, Japan.

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  1. Center for Environmental Biology and Ecosystem Studies, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan

    Hiroya Yamano

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Correspondence to Hiroya Yamano .

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Editors and Affiliations

  1. , Electrical and Computer Engineering, University of Puerto Rico at Mayagüez, Mayagüez, 00681, Puerto Rico

    James A. Goodman

  2. Oceanographic Center, National Coral Reef Institute, Nova Southeastern University, N. Ocean Drive 8000, Dania Beach, 33004, Florida, USA

    Samuel J. Purkis

  3. School of Geography, Planning, and Environmental Management, University of Queensland, Brisbane, 4072, Queensland, Australia

    Stuart R. Phinn

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Yamano, H. (2013). Multispectral Applications. In: Goodman, J., Purkis, S., Phinn, S. (eds) Coral Reef Remote Sensing. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9292-2_3

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