Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean
Inland waters and the coastal ocean are vital components of the biosphere, underpinning atmospheric processes and regional climate regulation through primary production, carbon storage, and greenhouse gas emissions. Inland waters also serve economic roles, providing water for agriculture, aquacultur...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20260416T142754_9783725859757_37 |
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Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869523023798730752 |
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| collection | Directory of Open Access Books |
| description | Inland waters and the coastal ocean are vital components of the biosphere, underpinning atmospheric processes and regional climate regulation through primary production, carbon storage, and greenhouse gas emissions. Inland waters also serve economic roles, providing water for agriculture, aquaculture, recreation, and drinking. As the key zone for land–ocean material exchange, the coastal ocean holds immense ecological value. In recent decades, industrial and urban pollution has had a catastrophic impact on these aquatic systems, reducing water transparency, intensifying eutrophication, and triggering frequent cyanobacteria blooms. With large-scale synchronous observation capabilities and long-term datasets, satellite imagery has become a mainstream data source for global and regional aquatic environment research. Water colour remote sensing is a core focus of this journal, and this Special Issue is in close alignment with this theme. The research contained herein primarily involves the retrieval of the optical/non-optical parameters of inland and coastal waters from multispectral or hyperspectral radiance data. These derived products rely on bio-optical models integrating empirical/semi-empirical, analytical/semi-analytical, quasi-analytical, and machine learning algorithms. |
| format | Online |
| id | doab-20.500.12854ir-175082 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750822026-04-16T18:50:00Z Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean Fang, Chong Banks, Andrew Clive Wen, Zhidan Lei, Shaohua Airborne drone UAV Optical water quality Automated drone image processing MapEO water Inland and coastal waters Georeferencing Sky glint ICOR Eutrophication Poyang Lake Basin (PLB) Landsat-8 OLI Spatio-temporal patterns Atmospheric correction Turbid water Ocean color Black pixel Water resources monitoring Republic of Ireland Remote sensing Landsat-8 Sentinel-2 Lake Xingkai Chla OLCI High solar zenith angle Turbidity Water quality Sentinel-2A B 9 Yangtze-Huaihe lakes Total phosphorus Machine learning Sentinel-3 OLCI Bohai Sea Total suspended particulate matter (TSM) Gaofen imagery Remote sensing inversion Yellow River estuary Consistency evaluation Random forest Temporal and spatial variations Water quality retrieval Hyperspectral data Multispectral data Characteristic spectral bands Artificial neural network CO2 flux CO2 budget Carbon cycle Chagan Lake Chromophoric dissolved organic matter Dissolved organic carbon Chemical oxygen demand Aquatic vegetation Deep learning Automatic extraction Lake Honghu Sentinel-2 MSI Artificial Ecosystem Optimization Chlorophyll-a Backpropagation neural network Hong Kong Google Earth Engine GOCI Algal blooms Water quality parameters PRISMA DESIS EnMAP Shallow lake Water reflectance Phytoplankton Bio-optical model thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Inland waters and the coastal ocean are vital components of the biosphere, underpinning atmospheric processes and regional climate regulation through primary production, carbon storage, and greenhouse gas emissions. Inland waters also serve economic roles, providing water for agriculture, aquaculture, recreation, and drinking. As the key zone for land–ocean material exchange, the coastal ocean holds immense ecological value. In recent decades, industrial and urban pollution has had a catastrophic impact on these aquatic systems, reducing water transparency, intensifying eutrophication, and triggering frequent cyanobacteria blooms. With large-scale synchronous observation capabilities and long-term datasets, satellite imagery has become a mainstream data source for global and regional aquatic environment research. Water colour remote sensing is a core focus of this journal, and this Special Issue is in close alignment with this theme. The research contained herein primarily involves the retrieval of the optical/non-optical parameters of inland and coastal waters from multispectral or hyperspectral radiance data. These derived products rely on bio-optical models integrating empirical/semi-empirical, analytical/semi-analytical, quasi-analytical, and machine learning algorithms. 2026-04-16T18:49:51Z 2026-04-16T18:49:51Z 2025 book ONIX_20260416T142754_9783725859757_37 9783725859757 9783725859764 https://directory.doabooks.org/handle/20.500.12854/175082 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11986 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5976-4 10.3390/books978-3-7258-5976-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725859757 9783725859764 342 CH open access |
| spellingShingle | Airborne drone UAV Optical water quality Automated drone image processing MapEO water Inland and coastal waters Georeferencing Sky glint ICOR Eutrophication Poyang Lake Basin (PLB) Landsat-8 OLI Spatio-temporal patterns Atmospheric correction Turbid water Ocean color Black pixel Water resources monitoring Republic of Ireland Remote sensing Landsat-8 Sentinel-2 Lake Xingkai Chla OLCI High solar zenith angle Turbidity Water quality Sentinel-2A B 9 Yangtze-Huaihe lakes Total phosphorus Machine learning Sentinel-3 OLCI Bohai Sea Total suspended particulate matter (TSM) Gaofen imagery Remote sensing inversion Yellow River estuary Consistency evaluation Random forest Temporal and spatial variations Water quality retrieval Hyperspectral data Multispectral data Characteristic spectral bands Artificial neural network CO2 flux CO2 budget Carbon cycle Chagan Lake Chromophoric dissolved organic matter Dissolved organic carbon Chemical oxygen demand Aquatic vegetation Deep learning Automatic extraction Lake Honghu Sentinel-2 MSI Artificial Ecosystem Optimization Chlorophyll-a Backpropagation neural network Hong Kong Google Earth Engine GOCI Algal blooms Water quality parameters PRISMA DESIS EnMAP Shallow lake Water reflectance Phytoplankton Bio-optical model thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title | Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title_full | Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title_fullStr | Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title_full_unstemmed | Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title_short | Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean |
| title_sort | remote sensing retrievals of optical properties in inland waters and the coastal ocean |
| topic | Airborne drone UAV Optical water quality Automated drone image processing MapEO water Inland and coastal waters Georeferencing Sky glint ICOR Eutrophication Poyang Lake Basin (PLB) Landsat-8 OLI Spatio-temporal patterns Atmospheric correction Turbid water Ocean color Black pixel Water resources monitoring Republic of Ireland Remote sensing Landsat-8 Sentinel-2 Lake Xingkai Chla OLCI High solar zenith angle Turbidity Water quality Sentinel-2A B 9 Yangtze-Huaihe lakes Total phosphorus Machine learning Sentinel-3 OLCI Bohai Sea Total suspended particulate matter (TSM) Gaofen imagery Remote sensing inversion Yellow River estuary Consistency evaluation Random forest Temporal and spatial variations Water quality retrieval Hyperspectral data Multispectral data Characteristic spectral bands Artificial neural network CO2 flux CO2 budget Carbon cycle Chagan Lake Chromophoric dissolved organic matter Dissolved organic carbon Chemical oxygen demand Aquatic vegetation Deep learning Automatic extraction Lake Honghu Sentinel-2 MSI Artificial Ecosystem Optimization Chlorophyll-a Backpropagation neural network Hong Kong Google Earth Engine GOCI Algal blooms Water quality parameters PRISMA DESIS EnMAP Shallow lake Water reflectance Phytoplankton Bio-optical model thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | Airborne drone UAV Optical water quality Automated drone image processing MapEO water Inland and coastal waters Georeferencing Sky glint ICOR Eutrophication Poyang Lake Basin (PLB) Landsat-8 OLI Spatio-temporal patterns Atmospheric correction Turbid water Ocean color Black pixel Water resources monitoring Republic of Ireland Remote sensing Landsat-8 Sentinel-2 Lake Xingkai Chla OLCI High solar zenith angle Turbidity Water quality Sentinel-2A B 9 Yangtze-Huaihe lakes Total phosphorus Machine learning Sentinel-3 OLCI Bohai Sea Total suspended particulate matter (TSM) Gaofen imagery Remote sensing inversion Yellow River estuary Consistency evaluation Random forest Temporal and spatial variations Water quality retrieval Hyperspectral data Multispectral data Characteristic spectral bands Artificial neural network CO2 flux CO2 budget Carbon cycle Chagan Lake Chromophoric dissolved organic matter Dissolved organic carbon Chemical oxygen demand Aquatic vegetation Deep learning Automatic extraction Lake Honghu Sentinel-2 MSI Artificial Ecosystem Optimization Chlorophyll-a Backpropagation neural network Hong Kong Google Earth Engine GOCI Algal blooms Water quality parameters PRISMA DESIS EnMAP Shallow lake Water reflectance Phytoplankton Bio-optical model thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20260416T142754_9783725859757_37 |