Blogs

The Blended Intensive Programme (BIP) is an innovative educational initiative that combines online learning with short-term physical mobility. In this project, I explore the use of drones in environmental sciences, focusing on their applications in data collection, monitoring, and analysis. The BIP provides a unique opportunity to gain hands-on experience with drone technology while collaborating with international peers and experts in the field.

In May 2026, I had the privilege of visiting the European Open Data Cube (EODC) and the United Nations Office for Outer Space Affairs (UNOOSA) in Vienna. This excursion provided me with a unique perspective on how satellite data is stored, processed, and utilized to serve humanity. The experience highlighted the importance of open data initiatives and international collaboration in addressing global challenges through space technology.

During the Spring School, I had the opportunity to explore the intersection of emotions and cartography. This experience allowed me to understand how maps can evoke feelings and how emotional responses can influence our perception of spatial data. Through various activities and discussions, I gained insights into the power of maps in shaping our understanding of the world around us.

MedAccess Austria is a WebGIS application developed to analyze and visualize accessibility to healthcare facilities across Austria. The platform enables users to interactively assess population coverage within user-defined buffer distances around healthcare facilities, providing insights for healthcare planning, policy development, and resource allocation. The system dynamically integrates geospatial data and real-time geo-processing to estimate the number of residents who have access to healthcare facilities within specified distances (e.g., 500m, 1km, 5km, 10km).

A spatial data infrastructure project analyzing hospital accessibility for older adults across Austrian NUTS3 regions. This post covers the end-to-end process of building a Vulnerability Score, deploying OGC-compliant web services, and creating an interactive dashboard to help policy advisors identify under-served areas.

A technical workflow demonstrating the use of Sentinel-1 SAR data to analyze the 2025 Myanma Earthquake. This post covers the end-to-end process of generating an interferogram (InSAR), performing phase unwrapping, and calculating vertical displacement to visualize the seismic impact on the region.

In this project, I explore the capabilities of the Copernicus Browser by applying a custom "Urban Classified" script to Sentinel-2 imagery. By utilizing specific band combinations and indices (NDVI and NDWI), I successfully automated the classification of the Salzburg region into distinct categories—water, built-up areas, vegetation, and barren soil—demonstrating the power of client-side scripting for real-time remote sensing analysis.

In this project, I utilized Google Earth Engine (GEE) to conduct a temporal analysis of the devastating August 2023 wildfires in the Dadia Forest, Greece. By modifying the GEE SplitPanel Widget and processing Sentinel-2 imagery, I compared NDVI values from before and after the event. The resulting visualization provides a clear, interactive interface to assess the scale of vegetation loss and environmental damage caused by the fire.