Remote Sensing of the Oceans Blue Economy and Marine Pollution
This book covers different topics in the framework of remote sensing of the oceans. Latest research advancements and brand-new studies are presented that address the exploitation of remote sensing instruments and simulation tools to improve the understanding of ocean processes and enable cutting-edg...
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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_76694 | ||
005 | 20220111 | ||
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020 | |a 9783036512723 | ||
020 | |a 9783036512730 | ||
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024 | 7 | |a 10.3390/books978-3-0365-1273-0 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
100 | 1 | |a Buono, Andrea |4 edt | |
700 | 1 | |a Paes, Rafael Lemos |4 edt | |
700 | 1 | |a Li, Yu |4 edt | |
700 | 1 | |a Buono, Andrea |4 oth | |
700 | 1 | |a Paes, Rafael Lemos |4 oth | |
700 | 1 | |a Li, Yu |4 oth | |
245 | 1 | 0 | |a Remote Sensing of the Oceans |b Blue Economy and Marine Pollution |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (224 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 This book covers different topics in the framework of remote sensing of the oceans. Latest research advancements and brand-new studies are presented that address the exploitation of remote sensing instruments and simulation tools to improve the understanding of ocean processes and enable cutting-edge applications with the aim of preserving the ocean environment and supporting the blue economy. Hence, this book provides a reference framework for state-of-the-art remote sensing methods that deal with the generation of added-value products and the geophysical information retrieval in related fields, including: Oil spill detection and discrimination; Analysis of tropical cyclones and sea echoes; Shoreline and aquaculture area extraction; Monitoring coastal marine litter and moving vessels; Processing of SAR, HF radar and UAV measurements. | ||
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 | |
653 | |a ocean modeling | ||
653 | |a counter-flow | ||
653 | |a vertical migration | ||
653 | |a Kuroshio intrusion | ||
653 | |a marine economy | ||
653 | |a storm surge | ||
653 | |a tropical cyclone size (TC size) | ||
653 | |a ideal test | ||
653 | |a marine-economic effects | ||
653 | |a Northern East China Sea (NECS) | ||
653 | |a surface currents | ||
653 | |a HF radar | ||
653 | |a eddy detection algorithms | ||
653 | |a general compact polarimetry | ||
653 | |a hybrid dual-polarization | ||
653 | |a oil spill discrimination | ||
653 | |a target decomposition | ||
653 | |a ocean environment | ||
653 | |a oil spill | ||
653 | |a Synthetic Aperture Radar | ||
653 | |a polarimetric decomposition | ||
653 | |a superpixel | ||
653 | |a convolutional neural networks | ||
653 | |a unmanned-aerial-vehicles | ||
653 | |a UAVs | ||
653 | |a anthropogenic-marine-debris | ||
653 | |a AMD | ||
653 | |a beached-marine-litter | ||
653 | |a BML | ||
653 | |a marine-protected-areas | ||
653 | |a MPA | ||
653 | |a ortho-photo | ||
653 | |a marine-pollution | ||
653 | |a accumulation-rate | ||
653 | |a synthetic aperture radar (SAR) | ||
653 | |a moving vessel | ||
653 | |a multicomponent polynomial phase signal(mc-PPS) | ||
653 | |a adaptive joint time-frequency (AJTF) decomposition | ||
653 | |a co-evolutionary particle swarm optimization | ||
653 | |a airborne HF/VHF radar | ||
653 | |a sea echo | ||
653 | |a mathematical model | ||
653 | |a radar cross section | ||
653 | |a marine raft aquaculture | ||
653 | |a Sentinel-1 | ||
653 | |a nonsubsampled contourlet transform | ||
653 | |a semantic segmentation | ||
653 | |a fully convolutional network | ||
653 | |a SAR images | ||
653 | |a shoreline extraction | ||
653 | |a geometric active contour model | ||
653 | |a SAR | ||
653 | |a sentinel-1 | ||
653 | |a low-backscattering areas | ||
653 | |a azimuth autocorrelation function | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4143 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76694 |7 0 |z DOAB: description of the publication |