With over 15 years of experience in Geographic Information Systems (GIS), remote sensing, and data science, I specialize in geospatial analysis, image processing, and database management. My expertise spans across industries, from environmental monitoring to emergency response, real estate analytics, and 3D modeling.
- GIS & Remote Sensing: Proficient in ESRI, QGIS, Open Source GIS, and image analysis tools like Pix4D, Google Earth Engine, and ERDAS Imagine.
- Programming & Data Science: Extensive experience in SQL, Python, and R for geospatial analysis, machine learning, and database management.
- Drone Imagery & Photogrammetry: FAA Certified Drone Pilot with expertise in multispectral imaging, 3D modeling, and Synthetic Aperture Radar (SAR).
- Disaster Assessment & Emergency Response: Volunteer for FEMA damage assessment projects through the Civil Air Patrol, developing statistical models to detect fire, wind, and flood damage using satellite imagery.
- 3D Visualization & Advanced Techniques: Working with Neural Radiance Fields (NeRF) and Gaussian Splatting for next-generation 3D modeling applications.
This repository showcases my work in GIS automation, spatial data analysis, remote sensing applications, and machine learning. Feel free to explore my projects, and let’s collaborate on advancing geospatial technology!
📍 Portfolio: StoryMaps
📍 LinkedIn: Jamie Portolese, GISP