Helena Mitasova

View CV

Bio

I teach a graduate course focused on Geospatial Modeling and Analysis and advanced special topics courses including UAV/LIDAR Data Analytics and  Geocomputing and Simulations. My expertise is in spatial interpolation and topographic analysis, lidar and UAV data applications, hydrologic and erosion modeling. I am also interested in geovisualization and tangible interfaces. I am active in the open source geospatial community as a member of the OSGeo Foundation and the Open Source GRASS GIS Project Steering Committee. Our NCSU GeoForAll Lab is a core laboratory at the Center for Geospatial Analytics.

NCSU GeoForAll Lab: publications and presentations

View Research Publications in Google scholar

Area(s) of Expertise

Students in my group conduct research at the Center for Geospatial Analytics using advanced geovisualization technologies and open source GIS. We use tangible geospatial modeling environments, dynamic simulations of landscape processes, and analysis of lidar and UAS data time series to investigate coastal evolution, soil erosion control, natural hazards and sustainable land management. We also study geospatial aspects of human health and environment focusing on water quality, PFAS and COVID-19.

Publications

• Active Remote Sensing Assessment of Biomass Productivity and Canopy Structure of Short-Rotation Coppice American Sycamore (Platanus occidentalis L.) , Remote Sensing (2024)
• Estimating Rates of Change to Interpret Quantitative Wastewater Surveillance of Disease Trends , (2024)
• Estimating rates of change to interpret quantitative wastewater surveillance of disease trends , SCIENCE OF THE TOTAL ENVIRONMENT (2024)
• An open-source platform for geospatial participatory modeling in the cloud , ENVIRONMENTAL MODELLING & SOFTWARE (2023)
• Integrating GRASS GIS and Jupyter Notebooks to facilitate advanced geospatial modeling education , Transactions in GIS (2023)
• Performance of unoccupied aerial application systems for aquatic weed management: Two novel case studies , Weed Technology (2023)
• Point Density Variations in Airborne Lidar Point Clouds , SENSORS (2023)
• Predicting residential septic system malfunctions for targeted drone inspections , Remote Sensing Applications: Society and Environment (2023)
• Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk , SCIENTIFIC REPORTS (2023)
• Tell Me Where to Go: An Experiment in Spreading Visitor Flows in The Netherlands , International Journal of Environmental Research and Public Health (2023)

View all publications