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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 …
Application and recent progress of inland water monitoring using remote sensing techniques
Q Cao, G Yu, Z Qiao - Environmental Monitoring and Assessment, 2023 - Springer
Hyperspectral remote sensing, which retrieves the water quality parameters by direct high-
resolution analysis of the electromagnetic spectrum reflected from the water surface, has …
resolution analysis of the electromagnetic spectrum reflected from the water surface, has …
Rapid changes to global river suspended sediment flux by humans
Rivers support indispensable ecological functions and human health and infrastructure. Yet
limited river sampling hinders our understanding of consequential changes to river systems …
limited river sampling hinders our understanding of consequential changes to river systems …
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
[HTML][HTML] Remote estimates of suspended particulate matter in global lakes using machine learning models
Suspended particulate matter (SPM) in lakes exerts strong impact on light propagation,
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …
Remote sensing of fluorescent humification levels and its potential environmental linkages in lakes across China
The pollution or eutrophication affected by dissolved organic matter (DOM) composition and
sources of inland waters had attracted concerns from the public and government in China …
sources of inland waters had attracted concerns from the public and government in China …
[HTML][HTML] Machine learning-based inversion of water quality parameters in typical reach of the urban river by UAV multispectral data
B Chen, X Mu, P Chen, B Wang, J Choi, H Park, S Xu… - Ecological …, 2021 - Elsevier
Urban rivers play an essential role in the human environment and urban development;
because of their narrow and long characteristics, challenging for general remote sensing …
because of their narrow and long characteristics, challenging for general remote sensing …
[HTML][HTML] The development of a rigorous model for bathymetric map** from multispectral satellite-images
Models for bathymetry retrieval from multispectral images have not considered the errors
caused by tidal fluctuation. A rigorous bathymetric model that considers the variation in tide …
caused by tidal fluctuation. A rigorous bathymetric model that considers the variation in tide …
Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19
India had announced the longest ever lockdown from 25 March 2020 to 14 April 2020 amid
COVID-19 pandemic. It was reported that the water quality of the Ganga River has improved …
COVID-19 pandemic. It was reported that the water quality of the Ganga River has improved …
Eutrophication state in the Eastern China based on Landsat 35-year observations
Eutrophication of the eastern plain lake (EPL) region has a significant impact on the
sustainable economic development and is closely related to the shortage of water resources …
sustainable economic development and is closely related to the shortage of water resources …