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Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems is a collection of eight cutting-edge studies of ¿ne spatial resolution remote sensing, including species mapping of biogenic and coral reefs, seagrasses, salt and freshwater marshes, and grasslands.

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Produktbeschreibung
Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems is a collection of eight cutting-edge studies of ¿ne spatial resolution remote sensing, including species mapping of biogenic and coral reefs, seagrasses, salt and freshwater marshes, and grasslands.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Qi Chen is Professor of Geography and Environment at the University of Hawai¿i at M¿noa, Honolulu, USA. His research focuses on the use of LiDAR, high spatial resolution remote sensing, statistical modelling, and artificial intelligence for environmental mapping and monitoring. Tiit Kutser is Professor of Remote Sensing at the Estonian Marine Institute, University of Tartu, Tallinn, Estonia. His research covers many different topics from mapping water quality parameters (including harmful algal blooms) in coastal and inland waters to benthic habitat (including coral reefs) mapping and the role of lakes in the global carbon cycle. Antoine Collin is Associate Professor of Geography and Ecology at the Paris Sciences & Letters (PSL) University, Dinard, France. His research links the coastal natural and social sciences in the ocean-climate change. He maps and models costal environments using high spatio-temporal resolution spaceborne, airborne, handborne, waterborne data, and machine learning. Timothy A. Warner is Emeritus Professor of Geology and Geography at West Virginia University, Morgantown, USA. He served as editor in chief of the International Journal of Remote Sensing from 2014 to 2020. He is a Fellow of the American Society of Photogrammetry and Remote Sensing.