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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.
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
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Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.
History of engineering & technology --- nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics
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Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.
nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics
Choose an application
Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.
History of engineering & technology --- nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics --- nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics
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