A review of protocols for fiducial reference measurements of water-leaving radiance for validation of satellite remote-sensing data over water
This paper reviews the state of the art of protocols for measurement of water-leaving
radiance in the context of fiducial reference measurements (FRM) of water reflectance for …
radiance in the context of fiducial reference measurements (FRM) of water reflectance for …
Integrating inland and coastal water quality data for actionable knowledge
Water quality measures for inland and coastal waters are available as discrete samples from
professional and volunteer water quality monitoring programs and higher-frequency, near …
professional and volunteer water quality monitoring programs and higher-frequency, near …
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 …
Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model
Y Zhang, L Wu, L Deng, B Ouyang - Water research, 2021 - Elsevier
Environmental protection of water resources is of critical importance to daily life of human
beings. In recent years, monitoring the variation of water quality using remote sensing …
beings. In recent years, monitoring the variation of water quality using remote sensing …
Evaluation of atmospheric correction algorithms over lakes for high-resolution multispectral imagery: Implications of adjacency effect
Y Pan, S Bélanger, Y Huot - Remote Sensing, 2022 - mdpi.com
Atmospheric correction of satellite optical imagery over inland waters is a key remaining
challenge in aquatic remote sensing. This is due to numerous confounding factors such as …
challenge in aquatic remote sensing. This is due to numerous confounding factors such as …
LéXPLORE: A floating laboratory on Lake Geneva offering unique lake research opportunities
Environmental sciences depend heavily on observational data. Successful studies of
ecological processes in lakes require in‐situ data that cover the relevant temporal scales …
ecological processes in lakes require in‐situ data that cover the relevant temporal scales …
Mapping water quality parameters in urban rivers from hyperspectral images using a new self-adapting selection of multiple artificial neural networks
Protection of water environments is an important part of overall environmental protection;
hence, many people devote their efforts to monitoring and improving water quality. In this …
hence, many people devote their efforts to monitoring and improving water quality. In this …
Field intercomparison of radiometer measurements for ocean colour validation
A field intercomparison was conducted at the Acqua Alta Oceanographic Tower (AAOT) in
the northern Adriatic Sea, from 9 to 19 July 2018 to assess differences in the accuracy of in …
the northern Adriatic Sea, from 9 to 19 July 2018 to assess differences in the accuracy of in …
Fiducial reference measurements for vegetation bio-geophysical variables: An end-to-end uncertainty evaluation framework
LA Brown, F Camacho, V García-Santos, N Origo… - Remote Sensing, 2021 - mdpi.com
With a wide range of satellite-derived vegetation bio-geophysical products now available to
users, validation efforts are required to assess their accuracy and fitness for purpose …
users, validation efforts are required to assess their accuracy and fitness for purpose …
[HTML][HTML] Characterizing water composition with an autonomous robotic team employing comprehensive in situ sensing, hyperspectral imaging, machine learning, and …
Inland waters pose a unique challenge for water quality monitoring by remote sensing
techniques due to their complicated spectral features and small-scale variability. At the same …
techniques due to their complicated spectral features and small-scale variability. At the same …