Machine learning applications in river research: Trends, opportunities and challenges

L Ho, P Goethals - Methods in Ecology and Evolution, 2022 - Wiley Online Library
As one of the earth's key ecosystems, rivers have been intensively studied and modelled
through the application of machine learning (ML). With the amount of large data available …

Application of new hyperspectral sensors in the remote sensing of aquatic ecosystem health: Exploiting PRISMA and DESIS for four Italian lakes

M Bresciani, C Giardino, A Fabbretto, A Pellegrino… - Resources, 2022 - mdpi.com
The monitoring of water bio-physical parameters and the management of aquatic
ecosystems are crucial to cope with the current state of inland water degradation. Not only …

Hypso-1 cubesat: First images and in-orbit characterization

S Bakken, MB Henriksen, R Birkeland, DD Langer… - Remote Sensing, 2023 - mdpi.com
The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13
January 2022, with the Goal of imaging ocean color in support of marine research. This …

[HTML][HTML] Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): a field-, laboratory-, and satellite-based approach to identifying cyanobacteria …

CJ Legleiter, TV King, KD Carpenter, NC Hall… - Remote Sensing of …, 2022 - Elsevier
Algal blooms around the world are increasing in frequency and severity, often with the
possibility of adverse effects on human and ecosystem health. The health and economic …

[HTML][HTML] Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry

F Braga, A Fabbretto, Q Vanhellemont… - ISPRS Journal of …, 2022 - Elsevier
Hyperspectral remote sensing reflectance (Rrs) derived from PRISMA in the visible and
infrared range was evaluated for two inland and coastal water sites using above-water in …

Synergies between NASA's hyperspectral aquatic missions PACE, GLIMR, and SBG: Opportunities for new science and applications

HM Dierssen, M Gierach, LS Guild… - Journal of …, 2023 - Wiley Online Library
Within the next decade, NASA plans to launch three new missions with imaging
spectrometers for aquatic science and applications: Plankton, Aerosol, Cloud, ocean …

Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020)

Y Zhang, F Shen, X Sun, K Tan - Remote Sensing of Environment, 2023 - Elsevier
Accurate monitoring of the spatial-temporal distribution and variability of phytoplankton
group (PG) composition is of vital importance in better understanding of marine ecosystem …

Robust and reconfigurable on-board processing for a hyperspectral imaging small satellite

DD Langer, M Orlandić, S Bakken, R Birkeland… - Remote Sensing, 2023 - mdpi.com
Hyperspectral imaging is a powerful remote sensing technology, but its use in space is
limited by the large volume of data it produces, which leads to a downlink bottleneck …

[HTML][HTML] A hyperspectral view of the nearshore Mississippi River Delta: Characterizing suspended particles in coastal wetlands using imaging spectroscopy

JP Harringmeyer, N Ghosh, MW Weiser… - Remote Sensing of …, 2024 - Elsevier
Abstract Suspended particle concentration (Total Suspended Solids or TSS) determines
sediment availability for deposition, whereas particle physico-chemical properties (eg …

[HTML][HTML] Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs

M Werther, D Odermatt, SGH Simis, D Gurlin… - ISPRS Journal of …, 2022 - Elsevier
Remote sensing product uncertainties for phytoplankton chlorophyll-a (chla) concentration
in oligotrophic and mesotrophic lakes and reservoirs were characterised across 13 existing …