Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/46872
Título: Remote sensing technologies for the assessment of Marine and Coastal Ecosystems
Autor: Gutierres, Francisco
Teodoro, Ana Cláudia
Reis, Eusébio
Neto, Carlos
Costa, José Carlos
Palavras-chave: Normalize Difference Vegetation Index
Remotely Sense Dataremotely Sense
River Plume
Total Suspend Matter
Remotely Sense Dataremotely Sense Data
Data: 2016
Editora: Springer
Citação: Gutierres, F., Teodoro, A. C., Reis, E., Neto. C., & Costa, J.C. (2016) Remote sensing technologies for the assessment of Marine and Coastal Ecosystems. In: C. Finkl, & C. Makowski. (Eds). Seafloor Mapping along Continental Shelves. Coastal Research Library, vol 13. Springer. https://doi.org/10.1007/978-3-319-25121-9_3
Resumo: This chapter reviews the Remote Sensing (RS) technologies that are particularly appropriate for marine and coastal ecosystem research and management. RS techniques are used to perform analysis of water quality in coastal water bodies; to identify, characterize and analyze river plumes; to extract estuarine/coastal sandy bodies; to identify beach features/patterns; and to evaluate the changes and integrity (health) of the coastal lagoon habitats. For effective management of these ecosystems, it is essential to have satellite data available and complementary accurate information about the current state of the coastal regions, in addition to well-informed forecasts about its future state. In recent years, the use of space, air and ground-based RS strategies has allowed for the rapid data collection, Image processing (Pixel-Based and Object-Based Image Analysis (OBIA) classification) and dissemination of such information to reduce vulnerability to natural hazards, anthropic pressures, and to monitoring essential ecological processes, life support systems and biological diversity.
URI: http://hdl.handle.net/10451/46872
DOI: 10.1007/978-3-319-25121-9_3
ISBN: 978-3-319-25119-6
978-3-319-25121-9
Versão do Editor: https://link.springer.com/chapter/10.1007/978-3-319-25121-9_3
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