[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products

VC Radeloff, DP Roy, MA Wulder, M Anderson… - Remote Sensing of …, 2024 - Elsevier
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 …

Monitoring inland water via Sentinel satellite constellation: A review and perspective

F Zeng, C Song, Z Cao, K Xue, S Lu, T Chen… - ISPRS Journal of …, 2023 - Elsevier
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 …

GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality

MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy… - Scientific data, 2023 - nature.com
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 …

Evaluation of river water quality index using remote sensing and artificial intelligence models

M Najafzadeh, S Basirian - Remote Sensing, 2023 - mdpi.com
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 …

[HTML][HTML] A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes

M Werther, D Odermatt, SGH Simis, D Gurlin… - Remote Sensing of …, 2022 - Elsevier
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and
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

Z Cao, C Hu, R Ma, H Duan, M Liu, S Loiselle… - Remote Sensing of …, 2023 - Elsevier
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 …

Remote sensing of dissolved organic carbon (DOC) stocks, fluxes and transformations along the land-ocean aquatic continuum: Advances, challenges, and …

CG Fichot, M Tzortziou, A Mannino - Earth-Science Reviews, 2023 - Elsevier
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 …

A decade-long chlorophyll-a data record in lakes across China from VIIRS observations

Z Cao, M Wang, R Ma, Y Zhang, H Duan… - Remote Sensing of …, 2024 - Elsevier
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 …

[HTML][HTML] Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods

L Harkort, Z Duan - Water Research, 2023 - Elsevier
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 …

[HTML][HTML] UAV multispectral image-based urban river water quality monitoring using stacked ensemble machine learning algorithms—A case study of the Zhanghe river …

Y **ao, Y Guo, G Yin, X Zhang, Y Shi, F Hao, Y Fu - Remote Sensing, 2022 - mdpi.com
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 …