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Validation of satellite-derived water-leaving reflectance in contrasted French coastal waters based on HYPERNETS field measurements
Frontiers in Remote Sensing,
2024
DOI:10.3389/frsen.2023.1290110
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DETEKSI TURBIDITY FRONT MENGGUNAKAN CITRA SATELIT SENTINEL-2 HUBUNGANNYA DENGAN OSEANOGRAFI DI ESTUARI BENGAWAN SOLO
Jurnal Ilmu dan Teknologi Kelautan Tropis,
2023
DOI:10.29244/jitkt.v14i3.40172
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[3]
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Spatiotemporal Dynamics of Water Quality Indicators in Koka Reservoir, Ethiopia
Remote Sensing,
2023
DOI:10.3390/rs15041155
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Geostatistical inference of Sentinel-2 spectral reflectance patterns to water quality indicators in the Setumo dam, South Africa
Remote Sensing Applications: Society and Environment,
2023
DOI:10.1016/j.rsase.2023.100945
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[5]
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Application of machine learning techniques to derive sea water turbidity from Sentinel-2 imagery
Remote Sensing Applications: Society and Environment,
2023
DOI:10.1016/j.rsase.2023.100951
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[6]
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Geostatistical inference of Sentinel-2 spectral reflectance patterns to water quality indicators in the Setumo dam, South Africa
Remote Sensing Applications: Society and Environment,
2023
DOI:10.1016/j.rsase.2023.100945
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[7]
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DETEKSI TURBIDITY FRONT MENGGUNAKAN CITRA SATELIT SENTINEL-2 HUBUNGANNYA DENGAN OSEANOGRAFI DI ESTUARI BENGAWAN SOLO
Jurnal Ilmu dan Teknologi Kelautan Tropis,
2023
DOI:10.29244/jitkt.v14i3.40172
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[8]
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Application of machine learning techniques to derive sea water turbidity from Sentinel-2 imagery
Remote Sensing Applications: Society and Environment,
2023
DOI:10.1016/j.rsase.2023.100951
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[9]
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Geostatistical inference of Sentinel-2 spectral reflectance patterns to water quality indicators in the Setumo dam, South Africa
Remote Sensing Applications: Society and Environment,
2023
DOI:10.1016/j.rsase.2023.100945
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[10]
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Spatial-temporal variability analysis of water quality using remote sensing data: A case study of Lake Manyame
Scientific African,
2023
DOI:10.1016/j.sciaf.2023.e01877
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[11]
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A Global Review of Progress in Remote Sensing and Monitoring of Marine Pollution
Water,
2023
DOI:10.3390/w15193491
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[12]
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Water Quality Studies in Urban Lakes Using Sentinel 2A Data
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium,
2023
DOI:10.1109/IGARSS52108.2023.10281762
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[13]
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Monitoring of sea surface temperature, chlorophyll, and turbidity in Tunisian waters from 2005 to 2020 using MODIS imagery and the Google Earth Engine
Regional Studies in Marine Science,
2023
DOI:10.1016/j.rsma.2023.103143
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[14]
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Assessment of Seven Atmospheric Correction Processors for the Sentinel-2 Multi-Spectral Imager over Lakes in Qinghai Province
Remote Sensing,
2023
DOI:10.3390/rs15225370
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[15]
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Retrieval of Underwater Turbidity in Gyeonggi Bay Using Sentinel-2 Satellite Data
Journal of the Korean earth science society,
2023
DOI:10.5467/JKESS.2023.44.5.469
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[16]
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ESTIMATION OF COASTAL WATERS TURBIDITY USING SENTINEL-2 IMAGERY
Geodesy and cartography,
2023
DOI:10.3846/gac.2023.18132
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[17]
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Estimation of Chlorophyll-a Concentrations in Lanalhue Lake Using Sentinel-2 MSI Satellite Images
Remote Sensing,
2022
DOI:10.3390/rs14225647
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[18]
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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
Regional Studies in Marine Science,
2022
DOI:10.1016/j.rsma.2022.102680
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[19]
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Land Cover Change and Water Quality: How Remote Sensing Can Help Understand Driver–Impact Relations in the Lake Titicaca Basin
Water,
2022
DOI:10.3390/w14071021
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[20]
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Chlorophyll-a and total suspended matter retrieval and comparison of C2RCC neural network algorithms on Landsat 8 data over Wangi-Wangi Island, Indonesia
Seventh Geoinformation Science Symposium 2021,
2021
DOI:10.1117/12.2617375
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[21]
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An Integrated Approach to Chlorophyll Monitoring in Surface Freshwater: The Case Study of Lake Albano (Central Italy)
Water,
2021
DOI:10.3390/w13091253
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[22]
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Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images
Electronics,
2021
DOI:10.3390/electronics10233004
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