Helena Mitasova
Bio
As Associate Director of Geovisualization in the Center for Geospatial Studies, Helena plays a strategic leadership role in the Center’s overall research agenda as well as geovisualization specific research using Tangible Landscape. Helena is a Center Faculty Fellow, a Professor in the Department of Marine, Earth and Atmospheric Sciences, and a member of the Geospatial Science and Technology Faculty at NC State. Her research uses tangible geospatial modeling environments, dynamic simulations of landscape processes, and analysis of LiDAR time series data to investigate coastal evolution, soil erosion control, and sustainable land management. Helena is a member of the OSGeo Foundation and theOpen Source GRASS GIS Project Steering Committee and a co-author of the first book on Open Source GRASS GIS. Helena has developed graduate courses based on Free and Open Source Geospatial Software, including the Geospatial Modeling and Analysis course and an advanced special topics course on Multidimensional Geospatial Modeling.
GeoInformation Science and Environmental Modeling website
Publications
- Carbon estimation of old-growth bald cypress knees using mobile LiDAR , FRONTIERS IN FORESTS AND GLOBAL CHANGE (2025)
- 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)