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El Serafy, G.Y.H. (author), Schaeffer, Blake A. (author), Neely, Merrie-Beth (author), Spinosa, A. (author), Odermatt, Daniel (author), Weathers, Kathleen C. (author), Baracchini, Theo (author), Bouffard, Damien (author), Carvalho, Laurence (author)
Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data,...
review 2021
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Pasetto, Damiano (author), Arenas-Castro, Salvador (author), Bustamante, Javier (author), Casagrandi, Renato (author), Chrysoulakis, Nektarios (author), Cord, Anna F. (author), Dittrich, Andreas (author), Domingo‐Marimon, Cristina (author), El Serafy, G.Y.H. (author), Karnieli, Arnon (author), Kordelas, Georgios A. (author), Manakos, Ioannis (author), Mari, Lorenzo (author), Monteiro, Antonio (author), Palazzi, Elisa (author), Poursanidis, Dimitris (author), Rinaldo, Andrea (author), Terzago, Silvia (author), Ziemba, A.M. (author), Ziv, Guy (author)
Spatiotemporal ecological modelling of terrestrial ecosystems relies on climatological and biophysical Earth observations. Due to their increasing availability, global coverage, frequent acquisition and high spatial resolution, satellite remote sensing (SRS) products are frequently integrated to in situ data in the development of ecosystem...
review 2018
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Navarro, Laetitia M. (author), Fernandez, Nestor (author), Guerra, Carlos (author), Guralnick, Rob (author), Kissling, W. Daniel (author), Londono, Maria Cecilia (author), Muller-Karger, Frank (author), Turak, Eren (author), El Serafy, G.Y.H. (author), Balvanera, Patricia (author)
The ability to monitor changes in biodiversity, and their societal impact, is critical to conserving species and managing ecosystems. While emerging technologies increase the breadth and reach of data acquisition, monitoring efforts are still spatially and temporally fragmented, and taxonomically biased. Appropriate long-term information...
review 2017