Acoustic monitoring using mobile sensor networks (AudioMoth) to detect and record bat activity, human disturbance, and noise pollution in cave ecosystems.
Molecular diagnostic toolkit for detecting and monitoring amphibian pathogens (chytrid fungus and ranavirus) in field-collected samples using real-time PCR methodology.
Automated sensor-based systems for quantifying visitor numbers and analyzing temporal and spatial visitation patterns in natural areas.
Mobile ground-based spherical imaging performed with a 360° photogrammetric sensor carried by an operator along a selected trail to map the terrain.
Mobile ground-based LiDAR system for high-resolution 3D mapping of terrain and small-scale surface changes.
Plot-based, semi-quantitative vegetation survey method to assess plant species composition and cover.
Passive recording of human presence along trails and access points using motion-triggered camera traps.
Motion-activated camera trap for remote, non-invasive wildlife and visitor monitoring providing valuable data on species presence, abundance, activity patterns, and behaviour over time.
Application of tree-ring analysis on exposed roots to estimate long-term average soil erosion rates along trails.
Portable devices used to record visitor movement patterns, routes, speed, and stay times, providing spatially explicit data to better understand visitor flows and site use.
Standardized beach litter monitoring methodology for assessing marine plastic pollution in coastal and marine protected areas.
Use of anonymized and aggregated mobile network event data to estimate visitor numbers and origin areas for selected protected areas and surrounding regions.
Analysis of outdoor app data (.gpx and metadata) to understand spatial distribution of digital trails and estimated usage of trails.
Field sampling of soil at selected areas to better understand pressures and threats of microplastic pollution and its effects on earthworms and their habitats.
Soil mite analysis involves identifying mite communities in soil to assess soil health, nutrient cycling, and the functioning of ecosystems. The purpose is to understand soil biodiversity, track environmental changes (such as pollution and land use), or study decomposition/nutrient cycles. Soil mites are excellent bioindicators due to their abundance, diversity, and sensitivity to soil conditions.
Strava Metro is a data service provided by Strava that uses aggregated and anonymized activity data (e.g. walking, running, cycling) from users of the Strava app to analyze movement patterns.
Systematic monitoring of chemical, physical, and biological parameters to assess the ecological status of rivers and surface waters.
UAV-based LiDAR scanning for erosion monitoring enables detailed, high-resolution mapping of terrain changes over time. It allows accurate detection and quantification of erosion processes across large areas without the need for extensive field surveys.
Aerial photogrammetric survey aimed at determining soil erosion on existing trails and identifying unofficial paths due to trampling.
iNaturalist is a citizen science platform that enables visitors and local communities to document plant and animal species through georeferenced photo observations.
Use of AI-based image and video analysis software to automatically detect and count visitors from camera data, supporting continuous and non-intrusive monitoring of visitor numbers and flows in protected areas.
Acoustic monitoring using mobile sensor networks (AudioMoth) to detect and record bat activity, human disturbance, and noise pollution in cave ecosystems.
Molecular diagnostic toolkit for detecting and monitoring amphibian pathogens (chytrid fungus and ranavirus) in field-collected samples using real-time PCR methodology.
Mobile ground-based spherical imaging performed with a 360° photogrammetric sensor carried by an operator along a selected trail to map the terrain.
Mobile ground-based LiDAR system for high-resolution 3D mapping of terrain and small-scale surface changes.
Application of tree-ring analysis on exposed roots to estimate long-term average soil erosion rates along trails.
Portable devices used to record visitor movement patterns, routes, speed, and stay times, providing spatially explicit data to better understand visitor flows and site use.
Standardized beach litter monitoring methodology for assessing marine plastic pollution in coastal and marine protected areas.
Adapted MegaDetector algorithm (AI model that identifies animals, people and vehicles in camara trap images) to count animals, people and vehicles in short videos.
Use of anonymized and aggregated mobile network event data to estimate visitor numbers and origin areas for selected protected areas and surrounding regions.
Analysis of outdoor app data (.gpx and metadata) to understand spatial distribution of digital trails and estimated usage of trails.
Field sampling of soil at selected areas to better understand pressures and threats of microplastic pollution and its effects on earthworms and their habitats.
Soil mite analysis involves identifying mite communities in soil to assess soil health, nutrient cycling, and the functioning of ecosystems. The purpose is to understand soil biodiversity, track environmental changes (such as pollution and land use), or study decomposition/nutrient cycles. Soil mites are excellent bioindicators due to their abundance, diversity, and sensitivity to soil conditions.
Strava Metro is a data service provided by Strava that uses aggregated and anonymized activity data (e.g. walking, running, cycling) from users of the Strava app to analyze movement patterns.
Systematic monitoring of chemical, physical, and biological parameters to assess the ecological status of rivers and surface waters.
UAV-based LiDAR scanning for erosion monitoring enables detailed, high-resolution mapping of terrain changes over time. It allows accurate detection and quantification of erosion processes across large areas without the need for extensive field surveys.
Aerial photogrammetric survey aimed at determining soil erosion on existing trails and identifying unofficial paths due to trampling.