Advancements of remote data acquisition and processing in unmanned vehicle technologies for water quality monitoring: An extensive review

Chemosphere, Год журнала: 2023, Номер 343, С. 140198 - 140198

Опубликована: Сен. 15, 2023

Язык: Английский

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Remote sensing-based water quality monitoring in African reservoirs, potential and limitations of sensors and algorithms: A systematic review

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2023, Номер 134, С. 103536 - 103536

Опубликована: Дек. 19, 2023

Язык: Английский

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Monitoring Suspended Sediment Transport in the Lower Yellow River using Landsat Observations

Remote Sensing, Год журнала: 2024, Номер 16(2), С. 229 - 229

Опубликована: Янв. 6, 2024

The spatiotemporal variations in suspended sediment concentration (SSC) the lower reaches of Yellow River exhibit significant variability and are influenced by reservoir operations. Understanding distribution characteristics SSC water holds crucial implications for environmental protection operation management. Based on daily-scale monitoring data from four hydrological stations River, this study established an remote sensing model applicable to Landsat series satellite data. independent variable model, Rrs(NIR)/(Rrs(G) + Rrs(R) Rrs(SWIR)), demonstrated sensitivity bodies with different values. Distinctive transport were observed across River. Spatially, values Sanmenxia Xiaolangdi reservoirs notably than those other river sections, averaging 1008.42 ± 602.83 mg/L 1177.89 627.95 mg/L, respectively. Over time, majority sections (96%) exhibited decreasing trends during 1984–2022, particularly downstream reservoir, average 4265.58 1101.77 1980s 1840.80 2255.15 2020s. Seasonal prominent, higher summer concentrations, 5536.43 2188.77 (2020s summer) 814.11 158.27 winter). Reductions 1984–2022 primarily occurred summer, weakening its seasonal Water discharge emerged as a critical factor influencing transport, increasing high-water-flow months. Following construction relationship between at underwent notable alterations. This enhances our understanding dynamics providing valuable insights utilizing long-term dynamic transport.

Язык: Английский

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A novel water optical types framework for Chinese inland waters with the application of multitype satellite sensor

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Март 11, 2024

Optical Water Type (OWT) analysis is crucial for comprehending water composition and quality, key factors in assessing quality over extensive areas. However, China's inland waters lack a standardized system such analysis. To quantitatively analyze the classification results, our study compared three K-means clustering methods, analyzing 1310 spectral data from various Chinese lakes reservoirs, thereby addressing this gap. The innovative split-merge method identified 13 distinct OWTs that more closely adhere to principles of minimizing intra-class distance maximizing inter-class distance. These were categorized into four groups: clear water, turbid eutrophic special type water. Additionally, we developed based on Spectral Angle Distance (SAD) evaluate capabilities 12 satellite sensors. results show Sentinel-3 OLCI (Ocean Land Color Instrument), MERIS (Medium Resolution Imaging Spectrometer), Sentinel-2 MSI (Multispectral Instrument) have best capabilities, making them well-suited large-scale monitoring OWT changes. Conversely, other sensors, as Sustainable Development Scientific Satellite-1 (SDGSAT-1), Landsat-8, GaoFen-6, GaoFen-1, GaoFen-2, Landsat-5, Landsat-7, Moderate Spectroradiometer (MODIS), HuanJing-1, necessitate consolidation types effective categorization, indicative their limited capabilities.

Язык: Английский

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Application of Landsat-8 and Sentinel-2 for retrieval of chlorophyll-a in a shallow freshwater lake

Advances in Space Research, Год журнала: 2024, Номер 74(1), С. 117 - 129

Опубликована: Март 28, 2024

Язык: Английский

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