03911nam 22008293a 450 991036756630332120250203235427.09783039212064303921206010.3390/books978-3-03921-206-4(CKB)4100000010106083(oapen)https://directory.doabooks.org/handle/20.500.12854/54860(ScCtBLL)c98d42f2-ec64-4a8c-8497-6d5ac55b315b(OCoLC)1163840316(oapen)doab54860(EXLCZ)99410000001010608320250203i20192019 uu engurmn|---annantxtrdacontentcrdamediacrrdacarrierNovel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and RiversMonica Rivas CasadoMDPI - Multidisciplinary Digital Publishing Institute2019Basel, Switzerland :MDPI,2019.1 electronic resource (132 p.)9783039212057 3039212052 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.Environmental economicsbicsscbottom reflectanceaquatic vegetationnormalized difference vegetation index (NDVI)Lake Ulansuhaiconcave–convex decision functionradiative transfermethodological comparisonremote sensing extractioninvasive plantsCAS S. alternifloraspectroscopyChinanuclear power stationfloating algae index (FAI)Landsat OLISpartina alterniflorasubstrateunmanned aerial vehicleLake Baikalreflectance1st derivativeseaweedremote sensingWorldView-2species discriminationWorldView-3water-column correctionSelenga River Deltamacroalgaeobject-based image analysisseaweed enhancing index (SEI)freshwater wetlandGF-1 satelliteriverEnvironmental economicsCasado Monica Rivas1294176ScCtBLLScCtBLLBOOK9910367566303321Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers3023039UNINA