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 …
Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions
Aquatic color radiometry remote sensing of coastal and inland water bodies is of great
interest to a wide variety of research, management, and commercial entities as well as the …
interest to a wide variety of research, management, and commercial entities as well as the …
A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types
Numerous algorithms have been developed to retrieve chlorophyll-a (Chla) concentrations
(mg m− 3) from Earth observation (EO) data collected over optically complex waters …
(mg m− 3) from Earth observation (EO) data collected over optically complex waters …
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 …
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters
N Pahlevan, B Smith, C Binding, D Gurlin, L Li… - Remote Sensing of …, 2021 - Elsevier
Following more than two decades of research and developments made possible through
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …
Measurement of cyanobacterial bloom magnitude using satellite remote sensing
Cyanobacterial harmful algal blooms (cyanoHABs) are a serious environmental, water
quality and public health issue worldwide because of their ability to form dense biomass and …
quality and public health issue worldwide because of their ability to form dense biomass and …
Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria
Using satellite imagery to quantify the spatial patterns of cyanobacterial toxins has several
challenges. These challenges include the need for surrogate pigments–since cyanotoxins …
challenges. These challenges include the need for surrogate pigments–since cyanotoxins …
Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges
Timely monitoring, detection and quantification of cyanobacterial blooms are especially
important for controlling public health risks and understanding aquatic ecosystem dynamics …
important for controlling public health risks and understanding aquatic ecosystem dynamics …
Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery
Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for,
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies
L Carrea, JF Crétaux, X Liu, Y Wu, B Calmettes… - Scientific Data, 2023 - nature.com
A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance,
water level and extent is presented. The collection constitutes the Lakes Essential Climate …
water level and extent is presented. The collection constitutes the Lakes Essential Climate …