Hyperspectral anomaly detection with robust graph autoencoders

G Fan, Y Ma, X Mei, F Fan, J Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery

C Niu, K Tan, X Jia, X Wang - Environmental Pollution, 2021 - Elsevier
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral
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 …

Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review

EA Ellis, GH Allen, RM Riggs, H Gao… - Wiley …, 2024 - Wiley Online Library
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 …

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling

JC Pyo, SM Hong, J Jang, S Park, J Park… - GIScience & Remote …, 2022 - Taylor & Francis
Intensive algal blooms increasingly degrade the inland water quality. Hence, this study
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

M Ahmed, R Mumtaz, Z Anwar, A Shaukat, O Arif… - Water, 2022 - mdpi.com
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 …

Mapping freshwater chlorophyll-a concentrations at a regional scale integrating multi-sensor satellite observations with Google Earth Engine

L Wang, M Xu, Y Liu, H Liu, R Beck, M Reif, E Emery… - Remote Sensing, 2020 - mdpi.com
Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been
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 …

Inter-comparison of methods for chlorophyll-a retrieval: Sentinel-2 time-series analysis in Italian lakes

M Niroumand-Jadidi, F Bovolo, L Bruzzone, P Gege - Remote Sensing, 2021 - mdpi.com
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 …

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 …