A5029831299- Marine and coastal ecosystems
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Aquatic Ecosystems and Phytoplankton Dynamics
- Atmospheric and Environmental Gas Dynamics
- Water Quality and Pollution Assessment
- Corporate Governance and Management
- Fish Ecology and Management Studies
- Cryospheric studies and observations
- Digital Innovation in Industries
- Remote Sensing in Agriculture
- Oceanographic and Atmospheric Processes
- Remote Sensing and LiDAR Applications
- Aquatic Ecosystems and Biodiversity
- Flood Risk Assessment and Management
- Innovation, Technology, and Society
- Hydrology and Watershed Management Studies
- Species Distribution and Climate Change
- Geochemistry and Geologic Mapping
- Marine and environmental studies
- Aquatic Invertebrate Ecology and Behavior
- Ecology, Conservation, and Geographical Studies
- Public Administration and Political Analysis
- Flexible and Reconfigurable Manufacturing Systems
- Climate change and permafrost
Swiss Federal Institute of Aquatic Science and Technology
2014-2025
University of Zurich
2007-2024
Swiss Federal Institute for Forest, Snow and Landscape Research
2022
Brockmann Consult (Germany)
2014-2018
Flemish Institute for Technological Research
2010
Lakes are often described as sentinels of global change. Phenomena like lake eutrophication, algal blooms, or reorganization in community composition belong to the most studied ecosystem regime shifts. However, although shifts have been well documented several lakes, a assessment prevalence is still missing, and, more general, factors altering stability status, missing. Here, we provide first and productivity 1,015 lakes worldwide using trophic state index (TSI) time series derived from...
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...
Phytoplankton biomass is important to monitor in lakes due its influence on water quality and lake productivity. has also been identified as sensitive environmental change, with shifts the seasonality of blooms, or phenology, resulting from changing temperature nutrient conditions. A satellite remote sensing approach retrieving mapping freshwater phytoplankton phenology demonstrated here application Lake Balaton, Hungary. Chlorophyll-a (chl-a) concentration using Medium Resolution Imaging...
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...
The airborne ESA-APEX (Airborne Prism Experiment) hyperspectral mission simulator is described with its distinct specifications to provide high quality remote sensing data. concept of an automatic calibration, performed in the Calibration Home Base (CHB) by using Control Test Master (CTM), In-Flight facility (IFC), flagging (QF) and specific processing a dedicated Processing Archiving Facility (PAF), vicarious calibration experiments are presented. A preview on major applications...
Sun-induced fluorescence (SIF) retrieved from satellite measurements has been widely used as proxy for chlorophyll-a concentration and indicator of phytoplankton physiological status in oceans. The practical use this naturally occurring light signal environmental research is, however, under-exploited, particularly focusing on optically complex waters such inland coastal waters. In study, we investigated methodological knowledge gaps remote sensing SIF by reviewing the theory behind...
Billions of tons hazardous mine waste are stored in thousands tailings storage facilities around the world. These impoundments represent one most important environmental risk factors industrial mining, since occasional spills or dam failures cause devastating impacts on humans and ecosystems, specifically along river corridors. In this study, we developed a satellite remote sensing methodology to assess water quality focusing controversial incident that occurred at Catoca diamond Angola late...
In this article, we describe a technique to determine dry snow grain size from optical observations. The method is based on analysis of the reflectance in near-infrared region, particular, Medium Resolution Imaging Spectrometer (MERIS) band at 865 nm, which common many spaceborne sensors, used. addition, algorithm applied Moderate Spectroradiometer (MODIS) 1240 nm band. It found that bands located 1020 and are most suitable for remote-sensing applications. developed validated using MODIS...
Abstract Retreating glaciers give way to new landscapes with lakes as an important element. In this study, we combined available data on lake outlines historical orthoimagery and glacier for six time periods since the end of Little Ice Age (LIA; ~1850). We generated a glacial inventory modern times (2016) traced evolution that formed in deglaciated area LIA. area, total 1192 over period almost 170 years, 987 them still existence 2016. Their water surface 2016 was 6.22 ± 0.25 km 2 . The...
Remote sensing product uncertainties for phytoplankton chlorophyll-a (chla) concentration in oligotrophic and mesotrophic lakes reservoirs were characterised across 13 existing algorithms using an situ dataset of water constituent concentrations, inherent optical properties (IOPs) remote-sensing reflectance spectra Rrsλ collected from 53 (346 observations; chla < 10 mg m-3, median 2.5 m-3). Substantial shortcomings retrieval accuracy evident with absolute percentage differences (MAPD) > 37%...
Protected agriculture boosts the production of vegetables, berries and fruits, it plays a pivotal role in guaranteeing food security globally face climate change. Remote sensing is proven to be useful for identifying presence (low-tech) plastic greenhouses mulches. However, classification accuracy notoriously decreases small-scale farming, heterogeneous land cover unaccounted seasonal management protected agriculture. Here, we present random forest-based pixel-level Open field Agriculture...
The product generation from hyperspectral sensor data has high requirements on the processing infrastructure, both hardware and software.The Airborne Prism Experiment (APEX) archiving facility been set up to provide for automated of level-1 calibrated userconfigurable on-demand higher levels.The system offers full reproducibility user orders parameters by employing a relational database.The flexible workflow software allows quick integration novel algorithms or definition new...
Water quality measures for inland and coastal waters are available as discrete samples from professional volunteer water monitoring programs higher-frequency, near-continuous data automated in situ sensors. parameters also estimated model outputs remote sensing. The integration of these data, via assimilation, can result a more holistic characterization highly dynamic ecosystems, consequently improve resource management. It is becoming common to see combinations applied answer relevant...