Remote Sensing of the Aquatic Environments

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 est...

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Bibliographic Details
Other Authors: Carolis, Giacomo De (Editor), De Santi, Francesca (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a 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. 
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546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Geography  |2 bicssc 
653 |a polymer optical fibers 
653 |a ammonia detection 
653 |a optical fiber coating 
653 |a aquaculture 
653 |a French Alps 
653 |a optical remote sensing 
653 |a multitemporal 
653 |a linear spectral unmixing 
653 |a NDVI 
653 |a drought 
653 |a Rana temporaria 
653 |a ecohydrology 
653 |a mountain temporary pools 
653 |a Lake Tana 
653 |a water hyacinth 
653 |a waterbody temperature 
653 |a turbidity 
653 |a lake level 
653 |a Planetscope 
653 |a remote sensing 
653 |a sensors 
653 |a ocean color 
653 |a sediment 
653 |a turbid water 
653 |a chlorophyll 
653 |a geostationary satellite 
653 |a aquaculture ponds 
653 |a extraction 
653 |a inland lake 
653 |a self-attention 
653 |a Ulva 
653 |a Sentinel-2 
653 |a satellite 
653 |a algal bloom 
653 |a coral reefs 
653 |a Pacific lagoons 
653 |a HAB 
653 |a multi-source remote sensing 
653 |a MODIS 
653 |a Landsat 
653 |a sentinel 
653 |a Chaohu Lake 
653 |a ecological status class of lakes 
653 |a European Union Water Framework Directive (2000/60/EC) 
653 |a water quality parameters 
653 |a water level 
653 |a Sentinel-3 
653 |a Cryosat-2 
653 |a shallow lakes 
653 |a synergy 
653 |a altimetry data 
653 |a optical data 
653 |a CDOM absorbance 
653 |a spectroscopic indices 
653 |a DOC 
653 |a Arctic 
653 |a shelf seas 
653 |a estuarial and coastal areas 
653 |a drone applications 
653 |a surface water 
653 |a groundwater 
653 |a photogrammetry 
653 |a optical sensing 
653 |a thermal infrared 
653 |a deep learning 
653 |a convolutional neural network 
653 |a chlorophyll-a 
653 |a hydrodynamic model 
653 |a empirical models 
653 |a multiple regression 
653 |a Paldang Reservoir 
653 |a SAR 
653 |a Doppler Centroid Anomaly 
653 |a inland waters 
653 |a physical limnology 
653 |a hydrodynamics 
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