[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 …

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 …

Rapid changes to global river suspended sediment flux by humans

EN Dethier, CE Renshaw, FJ Magilligan - Science, 2022 - science.org
Rivers support indispensable ecological functions and human health and infrastructure. Yet
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

Z Cao, R Ma, H Duan, N Pahlevan, J Melack… - Remote Sensing of …, 2020 - Elsevier
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 …

[HTML][HTML] Remote estimates of suspended particulate matter in global lakes using machine learning models

Z Wen, Q Wang, Y Ma, PA Jacinthe, G Liu, S Li… - International Soil and …, 2024 - Elsevier
Suspended particulate matter (SPM) in lakes exerts strong impact on light propagation,
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

Y Shang, K Song, F Lai, L Lyu, G Liu, C Fang, J Hou… - Water Research, 2023 - Elsevier
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 …

[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 …

[HTML][HTML] The development of a rigorous model for bathymetric map** from multispectral satellite-images

J Xu, G Zhou, S Su, Q Cao, Z Tian - Remote Sensing, 2022 - mdpi.com
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 …

Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19

V Garg, SP Aggarwal, P Chauhan - Geomatics, Natural Hazards …, 2020 - Taylor & Francis
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 …

Eutrophication state in the Eastern China based on Landsat 35-year observations

M Hu, R Ma, J **ong, M Wang, Z Cao, K Xue - Remote Sensing of …, 2022 - Elsevier
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 …