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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

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The book highlights recent research efforts in the monitoring of aquatic districts with remote sensing observations and proximal sensing technology integrated with laboratory measurements. Optical satellite imagery gathered at spatial resolutions down to few meters has been used for quantitative estimations of harmful algal bloom extent and Chl-a mapping, as well as winds and currents from SAR acquisitions. The knowledge and understanding gained from this book can be used for the sustainable management of bodies of water across our planet.

polymer optical fibers --- ammonia detection --- optical fiber coating --- aquaculture --- French Alps --- optical remote sensing --- multitemporal --- linear spectral unmixing --- NDVI --- drought --- Rana temporaria --- ecohydrology --- mountain temporary pools --- Lake Tana --- water hyacinth --- waterbody temperature --- turbidity --- lake level --- Planetscope --- remote sensing --- sensors --- ocean color --- sediment --- turbid water --- chlorophyll --- geostationary satellite --- aquaculture ponds --- extraction --- inland lake --- self-attention --- Ulva --- Sentinel-2 --- satellite --- algal bloom --- coral reefs --- Pacific lagoons --- HAB --- multi-source remote sensing --- MODIS --- Landsat --- sentinel --- Chaohu Lake --- ecological status class of lakes --- European Union Water Framework Directive (2000/60/EC) --- water quality parameters --- water level --- Sentinel-3 --- Cryosat-2 --- shallow lakes --- synergy --- altimetry data --- optical data --- CDOM absorbance --- spectroscopic indices --- DOC --- Arctic --- shelf seas --- estuarial and coastal areas --- drone applications --- surface water --- groundwater --- photogrammetry --- optical sensing --- thermal infrared --- deep learning --- convolutional neural network --- chlorophyll-a --- hydrodynamic model --- empirical models --- multiple regression --- Paldang Reservoir --- SAR --- Doppler Centroid Anomaly --- inland waters --- physical limnology --- hydrodynamics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book highlights recent research efforts in the monitoring of aquatic districts with remote sensing observations and proximal sensing technology integrated with laboratory measurements. Optical satellite imagery gathered at spatial resolutions down to few meters has been used for quantitative estimations of harmful algal bloom extent and Chl-a mapping, as well as winds and currents from SAR acquisitions. The knowledge and understanding gained from this book can be used for the sustainable management of bodies of water across our planet.

Research & information: general --- Geography --- polymer optical fibers --- ammonia detection --- optical fiber coating --- aquaculture --- French Alps --- optical remote sensing --- multitemporal --- linear spectral unmixing --- NDVI --- drought --- Rana temporaria --- ecohydrology --- mountain temporary pools --- Lake Tana --- water hyacinth --- waterbody temperature --- turbidity --- lake level --- Planetscope --- remote sensing --- sensors --- ocean color --- sediment --- turbid water --- chlorophyll --- geostationary satellite --- aquaculture ponds --- extraction --- inland lake --- self-attention --- Ulva --- Sentinel-2 --- satellite --- algal bloom --- coral reefs --- Pacific lagoons --- HAB --- multi-source remote sensing --- MODIS --- Landsat --- sentinel --- Chaohu Lake --- ecological status class of lakes --- European Union Water Framework Directive (2000/60/EC) --- water quality parameters --- water level --- Sentinel-3 --- Cryosat-2 --- shallow lakes --- synergy --- altimetry data --- optical data --- CDOM absorbance --- spectroscopic indices --- DOC --- Arctic --- shelf seas --- estuarial and coastal areas --- drone applications --- surface water --- groundwater --- photogrammetry --- optical sensing --- thermal infrared --- deep learning --- convolutional neural network --- chlorophyll-a --- hydrodynamic model --- empirical models --- multiple regression --- Paldang Reservoir --- SAR --- Doppler Centroid Anomaly --- inland waters --- physical limnology --- hydrodynamics