Hyperspectral anomaly detection with robust graph autoencoders
Anomaly detection of hyperspectral data has been gaining particular attention for its ability in
detecting targets in an unsupervised manner. Autoencoder (AE), together with its variants …
detecting targets in an unsupervised manner. Autoencoder (AE), together with its variants …
Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
[HTML][HTML] Retrieving water chlorophyll-a concentration in inland waters from Sentinel-2 imagery: Review of operability, performance and ways forward
J Llodrà-Llabrés, J Martínez-López, T Postma… - International Journal of …, 2023 - Elsevier
The fundamental role of water for life and the threats to water bodies around the world have
highlighted the need for their conservation. Remote sensing is a tool that allows us to …
highlighted the need for their conservation. Remote sensing is a tool that allows us to …
Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review
The quantity and quality of surface water are inherently connected yet are overwhelmingly
studied separately in the field of remote sensing. Remotely observable water quantity (eg …
studied separately in the field of remote sensing. Remotely observable water quantity (eg …
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling
Intensive algal blooms increasingly degrade the inland water quality. Hence, this study
aimed to analyze the algal phenomena quantitatively and qualitatively using synoptic …
aimed to analyze the algal phenomena quantitatively and qualitatively using synoptic …
A multi–step approach for optically active and inactive water quality parameter estimation using deep learning and remote sensing
Water is a fundamental resource for human survival but the consumption of water that is unfit
for drinking leads to serious diseases. Access to high–resolution satellite imagery provides …
for drinking leads to serious diseases. Access to high–resolution satellite imagery provides …
Mapping freshwater chlorophyll-a concentrations at a regional scale integrating multi-sensor satellite observations with Google Earth Engine
Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been
implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor …
implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor …
Using machine learning algorithms with in situ hyperspectral reflectance data to assess comprehensive water quality of urban rivers
J Cai, J Chen, X Dou, Q Xing - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remotely sensed hyperspectral data can support more effective water quality monitoring.
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Inter-comparison of methods for chlorophyll-a retrieval: Sentinel-2 time-series analysis in Italian lakes
Different methods are available for retrieving chlorophyll-a (Chl-a) in inland waters from
optical imagery, but there is still a need for an inter-comparison among the products. Such …
optical imagery, but there is still a need for an inter-comparison among the products. Such …
Validation of water quality monitoring algorithms for sentinel-2 and sentinel-3 in mediterranean inland waters with in situ reflectance data
X Sòria-Perpinyà, E Vicente, P Urrego… - Water, 2021 - mdpi.com
Freshwater quality maintenance is essential for human use and ecological functions. To
ensure this objective, governments establish programs for a continuous monitoring of the …
ensure this objective, governments establish programs for a continuous monitoring of the …