Department of Life Sciences · University of Trieste
Research Fellow working at the intersection of remote sensing, GIS and agroecosystem analysis, with a current focus on soil-erosion risk and environmental monitoring across agricultural and forest systems in Friuli Venezia Giulia.
Anna Lilian Gardossi develops spatially explicit methods for monitoring agricultural and forest landscapes. Her work combines satellite Earth observation, GIS, field validation and machine-learning approaches to extract ecologically relevant landscape information and translate it into operational environmental indicators.
Before joining the University of Trieste, she worked at the University of Udine on High Nature Value farmland and on the mapping of small semi-natural landscape elements, including hedgerows, using Sentinel-2, PlanetScope and LiDAR data. She also contributed to university teaching in QGIS and geospatial analysis.
Her current research within Biodiversity Lab is connected to the SICANSE project and focuses on modelling soil-erosion risk and developing remote-sensing workflows for agro-forest systems in Friuli Venezia Giulia, including the application of neural networks and deep learning.
University of Trieste · quantitative environmental assessment and monitoring.
University of Trieste · environmental and molecular monitoring within the Global Change Ecology programme.
University of Udine · machine learning and remote sensing for small landscape elements.
University of Udine · High Nature Value farmland mapping through remote sensing and GIS.
University of Udine · QGIS and geospatial analysis.
University of Trieste · SICANSE, soil-erosion risk and agro-forest remote sensing.
Oral contribution: “Satellite-based monitoring of crop residues: assessing NDTI reliability at the regional scale in Friuli Venezia Giulia”, presenting SICANSE results on Sentinel-2, NDTI/NDVI and operational monitoring of agricultural management.
Conference contributions and Biodiversity Lab updates directly connected to this researcher’s current work.
Conference · Remote sensing
A selected set of publications connected to the researcher’s current scientific profile. Publication and citation databases may differ in coverage and update frequency.
A selection of images documenting research activity across field campaigns, international collaborations, conferences and institutional work.
