A5002827886- Marine and coastal ecosystems
- Water Quality Monitoring and Analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
- Marine and environmental studies
- Hydrology and Watershed Management Studies
- Marine Toxins and Detection Methods
- Environmental Monitoring and Data Management
- Atmospheric and Environmental Gas Dynamics
- Microplastics and Plastic Pollution
- Geochemistry and Geologic Mapping
- Marine and fisheries research
- Remote Sensing in Agriculture
- Isotope Analysis in Ecology
- Microbial Community Ecology and Physiology
- Soil Geostatistics and Mapping
- Oceanographic and Atmospheric Processes
- Fish Ecology and Management Studies
- Maritime Navigation and Safety
- Coral and Marine Ecosystems Studies
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Recycling and Waste Management Techniques
- Marine Biology and Ecology Research
University of Stirling
2016-2025
Universidade de Vigo
2010-2014
The relatively high spatial resolution, short revisit time and red-edge spectral band (705 nm) of the ESA Sentinel-2 Multi Spectral Imager makes this sensor attractive for monitoring water quality coastal inland waters. Reliable atmospheric correction is essential to support routine retrieval optically active substance concentration from water-leaving reflectance. In study, six publicly available algorithms (Acolite, C2RCC, iCOR, l2gen, Polymer Sen2Cor) are evaluated against above-water...
Abstract Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding their functions, drivers impacting on these functions deliver more effective management. The ability observe from space has led Earth observation (EO) becoming established as an important source information water quality ecosystem condition. However, progress toward a globally valid EO approach still largely hampered by inconsistences over...
Atmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering quantitative retrieval biogeochemical variables analysis their spatial temporal variability within environments. The Correction Intercomparison Exercise (ACIX-Aqua), a joint NASA – ESA activity, was initiated to enable thorough evaluation eight state-of-the-art atmospheric (AC) processors available for Landsat-8 Sentinel-2 data processing. Over 1000...
Water clarity is a well-established first-order indicator of water quality and has been used globally by regulators in their monitoring management programs. Assessments lakes over large temporal spatial scales, however, are rare, limiting our understanding its variability the driven forces. In this study, we developed validated robust Secchi disk depth (ZSD) algorithm for across China based on two color parameters, namely Forel-Ule Index (FUI) hue angle α, retrieved from MODIS data. The ZSD...
Abstract The development of algorithms for remote sensing water quality (RSWQ) requires a large amount in situ data to account the bio-geo-optical diversity inland and coastal waters. GLObal Reflectance community dataset Imaging optical Aquatic environments (GLORIA) includes 7,572 curated hyperspectral reflectance measurements at 1 nm intervals within 350 900 wavelength range. In addition, least one co-located measurement chlorophyll , total suspended solids, absorption by dissolved...
The 10-year archive of MEdium Resolution Imaging Spectrometer (MERIS) data is an invaluable resource for studies on lake system dynamics at regional and global scales. MERIS are no longer actively acquired but their capacity scale monitoring lakes from satellites will soon be re-established through the forthcoming Sentinel-3 Ocean Land Colour Instrument (OLCI). development validation in-water algorithms accurate retrieval biogeochemical parameters thus key importance if potential OLCI to...
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and mesotrophic lakes faces uncertainties from sources such as atmospheric correction, complex inherent optical property compositions, imperfect algorithmic retrieval. To improve chla estimation oligo- lakes, we developed Bayesian probabilistic neural networks (BNNs) for the Sentinel-3 Ocean Land Cover Instrument (OLCI) Sentinel-2 MultiSpectral Imager (MSI). The BNNs were built using an situ dataset water bodies...
Using airborne drones to monitor water quality in inland, transitional or coastal surface waters is an emerging research field. Airborne can fly under clouds at preferred times, capturing data cm resolution, filling a significant gap between existing situ, and satellite remote sensing capabilities. Suitable lightweight cameras are readily available on the market, whereas deriving products from captured image not straightforward; vignetting effects, georeferencing, dynamic nature high light...
Consumer cameras, particularly onboard smartphones and UAVs, are now commonly used as scientific instruments. However, their data processing pipelines not optimized for quantitative radiometry calibration is more complex than that of cameras. The lack a standardized methodology limits the interoperability between devices and, in ever-changing market, ultimately lifespan projects using them. We present database (SPECTACLE) spectral radiometric calibrations consumer including linearity, bias...
Satellite product uncertainty estimates are critical for the further development and evaluation of remote sensing algorithms, as well user community (e.g., modelers, climate scientists, decision-makers). Optical water quality is affected by significant uncertainties stemming from correction atmospheric effects a lack algorithms that can be universally applied to waterbodies spanning several orders magnitude in non-covarying substance concentrations. We developed method produce Chlorophyll-a...
Abstract Radiocarbon ( 14 C) is a key tracer for detecting the mobilization of previously stored terrestrial organic carbon (C) into aquatic systems. Old C (>1,000 years BP) may be “masked” by postbomb (fixed from atmosphere post‐1950 CE), potentially rendering bulk dissolved (DOC) measurements insensitive to old C. We collected DOC with modern signature temperate Scottish peatland stream and decomposed it produce CO 2 under simulated natural conditions over 140 days. measured both at...
The land-affected signal in remotely sensed radiance from nearshore waters is a common problem for remote sensing, introducing uncertainty atmospheric correction and subsequent water quality constituent concentration estimates. This study proposes new method identifying effects of land on satellite sensing quality. optical types (OWT) containing the were derived POLYMER-corrected imagery Medium Resolution Imaging Spectrometer reduced resolution (MERIS RR) Sentinel-3 Ocean Land Colour...
Inland and coastal waters provide key ecosystem services are closely linked to human well-being. In this study, we propose a semi-analytical method, which can be applied Sentinel-2 MultiSpectral Instrument (MSI) images retrieve high spatial-resolution total suspended solids (TSS) concentration in broad spectrum of aquatic ecosystems ranging from clear extremely turbid waters. The presented approach has four main steps. First, the remote sensing reflectance (Rrs) at band lacking MSI (620 nm)...
Water quantity and quality in lakes are closely linked to the compounding effects of climate change human activities their catchments, especially for located semi-arid arid regions where water resources scarce. Whilst knowledge gaps exist these region due mainly lack long-term situ monitoring data. By using satellite remote sensing data, this study firstly investigated variations level, chlorophyll-a concentration (Chl-a) turbidity Lake Qadisiyah, Iraq between 2000 2019. Results showed that...
Common aquatic remote sensing algorithms estimate the trophic state (TS) of inland and nearshore waters through inversion reflectance (Rrs (λ)) into chlorophyll-a (chla) concentration. In this study we present a novel method that directly inverts Rrs (λ) TS without prior chla retrieval. To successfully cope with optical diversity proposed stacks supervised classification combines them meta-learning. We demonstrate developed methodology using waveband configuration Sentinel-3 Ocean Land...