Abstract
Globally there has been tremendous progress in space technology especially in the field of satellite remote sensing applications during the past five decades. Satellite based sensors provide a repetitive and synoptic coverage of inaccessible/larger areas which generated a time series database useful in identification and mapping of environment and resources. These databases form a scientific tool for various stakeholders to device suitable strategies for management of coastal and marine resources. This chapter analyses the various applications of satellite remote sensing and numerical modelling on identification and mapping of mangroves, coral reefs, fishing and molluscan grounds in the coastal marine ecosystems with relevant case studies and illustrations. The mapping methods for mangroves explains the classification protocols, advantages in using different remote sensing techniques and the comparison of different mapping techniques. In case of reef mapping, the vulnerability mapping of reefs due to extreme events is also discussed. Fish movement in a dynamic environment and the mapping of these movements with the help of proxy indicators are also detailed. Molluscan mapping is done based on the biomass differences during different seasons and their physical attributes.
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Acknowledgement
The authors acknowledge the support from Dr. A. Gopalakrishnan, Director, Central Marine Fisheries Research Institute, India and the ChloRIFFS project which sponsored this work. Financial assistance from National Centre of Sustainable Coastal Management, Ministry of Environment and Forest, India is also acknowledged herewith. The first author would like to thank Dr. A.P. Sharma, Director, Central Inland Fisheries Research Institute for supporting the work.
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Paul, T.T., Dennis, A., George, G. (2016). A Review of Remote Sensing Techniques for the Visualization of Mangroves, Reefs, Fishing Grounds, and Molluscan Settling Areas in Tropical Waters. In: Finkl, C., Makowski, C. (eds) Seafloor Mapping along Continental Shelves. Coastal Research Library, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-25121-9_4
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