Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers

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 approach...

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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (132 p.)
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spelling Casado, Monica Rivas auth
Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (132 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
bottom reflectance
aquatic vegetation
normalized difference vegetation index (NDVI)
Lake Ulansuhai
concave–convex decision function
radiative transfer
methodological comparison
remote sensing extraction
invasive plants
CAS S. alterniflora
spectroscopy
China
nuclear power station
floating algae index (FAI)
Landsat OLI
Spartina alterniflora
substrate
unmanned aerial vehicle
Lake Baikal
reflectance
1st derivative
seaweed
remote sensing
WorldView-2
species discrimination
WorldView-3
water-column correction
Selenga River Delta
macroalgae
object-based image analysis
seaweed enhancing index (SEI)
freshwater wetland
GF-1 satellite
river
3-03921-205-2
language English
format eBook
author Casado, Monica Rivas
spellingShingle Casado, Monica Rivas
Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
author_facet Casado, Monica Rivas
author_variant m r c mr mrc
author_sort Casado, Monica Rivas
title Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_full Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_fullStr Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_full_unstemmed Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_auth Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_new Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
title_sort novel advances in aquatic vegetation monitoring in ocean, lakes and rivers
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (132 p.)
isbn 3-03921-206-0
3-03921-205-2
illustrated Not Illustrated
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is_hierarchy_title Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers
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