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[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
Monitoring inland water via Sentinel satellite constellation: A review and perspective
Abstract Clean Water and Sanitation, the sixth goal of Sustainable Development Goals
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …
GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality
The development of algorithms for remote sensing of water quality (RSWQ) requires a large
amount of in situ data to account for the bio-geo-optical diversity of inland and coastal …
amount of in situ data to account for the bio-geo-optical diversity of inland and coastal …
Evaluation of river water quality index using remote sensing and artificial intelligence models
To restrict the entry of polluting components into water bodies, particularly rivers, it is critical
to undertake timely monitoring and make rapid choices. Traditional techniques of assessing …
to undertake timely monitoring and make rapid choices. Traditional techniques of assessing …
[HTML][HTML] A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
MODIS observations reveal decrease in lake suspended particulate matter across China over the past two decades
Variations in the concentrations and distribution of suspended particulate matter (SPM) of
lakes can be used to show the responses of lake environment to climate and landscape …
lakes can be used to show the responses of lake environment to climate and landscape …
Remote sensing of dissolved organic carbon (DOC) stocks, fluxes and transformations along the land-ocean aquatic continuum: Advances, challenges, and …
From stream headwaters to the deep ocean, dissolved organic carbon (DOC) is ubiquitous
across the world's aquatic systems, where it fulfills important biogeochemical and ecological …
across the world's aquatic systems, where it fulfills important biogeochemical and ecological …
A decade-long chlorophyll-a data record in lakes across China from VIIRS observations
Abstract Chlorophyll-a (Chl-a) is one of the optically active constituents in waters, and its
concentration is frequently utilized as a proxy for lake trophic levels. However, generating a …
concentration is frequently utilized as a proxy for lake trophic levels. However, generating a …
[HTML][HTML] Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
Abstract Dissolved Organic Carbon (DOC) in inland waters plays an essential role in the
global carbon cycle and has significant public health effects. Machine learning (ML) together …
global carbon cycle and has significant public health effects. Machine learning (ML) together …
[HTML][HTML] UAV multispectral image-based urban river water quality monitoring using stacked ensemble machine learning algorithms—A case study of the Zhanghe river …
Timely monitoring of inland water quality using unmanned aerial vehicle (UAV) remote
sensing is critical for water environmental conservation and management. In this study, two …
sensing is critical for water environmental conservation and management. In this study, two …