Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications
Remote sensing approaches to measuring inland water quality date back nearly 50 years to
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …
Remote sensing for lake research and monitoring–Recent advances
K Dörnhöfer, N Oppelt - Ecological Indicators, 2016 - Elsevier
Lakes are important ecosystems providing various ecosystem services. Stressors such as
eutrophication or climate change, however, threaten their ecological functions. National and …
eutrophication or climate change, however, threaten their ecological functions. National and …
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters
SV Balasubramanian, N Pahlevan, B Smith… - Remote Sensing of …, 2020 - Elsevier
One of the challenging tasks in modern aquatic remote sensing is the retrieval of near-
surface concentrations of Total Suspended Solids (TSS). This study aims to present a …
surface concentrations of Total Suspended Solids (TSS). This study aims to present a …
Dramatic decrease of flood frequency in the Mekong Delta due to river-bed mining and dyke construction
Here we present a proof of concept evaluation of the impacts of riverbed-mining on river-
wetland connectivity by analyzing the temporal trends of the flood frequencies in the …
wetland connectivity by analyzing the temporal trends of the flood frequencies in the …
Suspended sediment concentration estimation from landsat imagery along the lower missouri and middle Mississippi Rivers using an extreme learning machine
Monitoring and quantifying suspended sediment concentration (SSC) along major fluvial
systems such as the Missouri and Mississippi Rivers provide crucial information for …
systems such as the Missouri and Mississippi Rivers provide crucial information for …
Concerns about phytoplankton bloom trends in global lakes
Satellite remote sensing has been widely used to monitor the water quality of inland and
coastal environments. Using satellite data from the Landsat 5 Thematic Mapper (L5TM), Ho …
coastal environments. Using satellite data from the Landsat 5 Thematic Mapper (L5TM), Ho …
Hydrodynamic investigation of surface hydrological connectivity and its effects on the water quality of seasonal lakes: Insights from a complex floodplain setting …
Small, seasonal lakes that exist in floodplains are rarely investigated, and yet they play an
important role in the protection of biodiversity and are highly susceptible to modification due …
important role in the protection of biodiversity and are highly susceptible to modification due …
[HTML][HTML] Automating the detection of hydrological barriers and fragmentation in wetlands using deep learning and InSAR
The loss of hydrological connectivity and fragmentation of natural wetlands are widespread
drivers of wetland degradation. Understanding where and how natural connectivity is …
drivers of wetland degradation. Understanding where and how natural connectivity is …
Recent intensified erosion and massive sediment deposition in Tibetan Plateau rivers
Recent climate change has caused an increase in warming-driven erosion and sediment
transport processes on the Tibetan Plateau (TP). Yet a lack of measurements hinders our …
transport processes on the Tibetan Plateau (TP). Yet a lack of measurements hinders our …