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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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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001 | doab_20_500_12854_76687 | ||
005 | 20220111 | ||
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020 | |a books978-3-0365-1665-3 | ||
020 | |a 9783036516660 | ||
020 | |a 9783036516653 | ||
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024 | 7 | |a 10.3390/books978-3-0365-1665-3 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
072 | 7 | |a RG |2 bicssc | |
100 | 1 | |a Carolis, Giacomo De |4 edt | |
700 | 1 | |a De Santi, Francesca |4 edt | |
700 | 1 | |a Carolis, Giacomo De |4 oth | |
700 | 1 | |a De Santi, Francesca |4 oth | |
245 | 1 | 0 | |a Remote Sensing of the Aquatic Environments |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (292 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4134 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76687 |7 0 |z DOAB: description of the publication |