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[null,"1.","Record Nr.",null,"UNINA9910367566303321"]
[null,null,"Autore",null,"Casado Monica Rivas"]
[null,null,"Titolo",null,"Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers / Monica Rivas Casado"]
[null,null,"Pubbl/distr/stampa",null,"MDPI - Multidisciplinary Digital Publishing Institute, 2019"]
[{"$nulls":4},"Basel, Switzerland : , : MDPI, , 2019"]
[null,null,"ISBN",null,"9783039212064"]
[{"$nulls":4},"3039212060"]
[null,null,"Descrizione fisica",null,"1 electronic resource (132 p.)"]
[null,null,"Soggetti",null,"Environmental economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","In recent decades, there has been an increase in the development of strategies for water ecosystem mapping and monitoring. Overall, this is primarily due to legislative efforts to improve the quality of water bodies and oceans. Remote sensing has played a key role in the development of such approaches-from the use of drones for vegetation mapping to autonomous vessels for water quality monitoring. Within the specific context of vegetation characterization, the wide range of available observations-from satellite imagery to high-resolution drone aerial imagery-has enabled the development of monitoring and mapping strategies at multiple scales (e.g., micro- and mesoscales).   This Special Issue, entitled \"Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers\", collates recent advances in remote sensing-based methods applied to ocean, river, and lake vegetation characterization, including seaweed, kelp, submerged and emergent vegetation, and floating-leaf and free-floating plants. A total of six manuscripts have been compiled in this Special Issue, ranging from area mapping substrates in riverine environments to the identification of macroalgae in marine environments. The work presented leverages current state-of-the-art methods for aquatic vegetation monitoring and will spark further research within this field."]