Wildfire vulnerability & infrastructure exposure
Clustering and AI-based classification applied to wildfire vulnerability and infrastructure exposure in Yellowstone National Park.
GeoAI • classification • risk mappingEXPERTISE & PORTFOLIO
Geospatial practice grounded in research, field work and applied analysis.
Identity's technical foundation spans GIScience, remote sensing, land-change science, environmental vulnerability, GeoAI, surveying/GNSS concepts, UAS data collection and cloud geospatial computing.
TECHNICAL LEADERSHIPMehmet Ozdes, Ph.D.
Ph.D. in Geography from the University of Florida and M.S. in Earth & Atmospheric Sciences from Georgia Tech, with academic and applied experience across the United States, Türkiye, southern Africa and Central Asia.
SELECTED APPLIED RESEARCH THEMES
Methods that translate directly into client problems.
Coastal vulnerability & sea-level-rise impacts
Multi-sensor remote sensing and land-use analysis for climate and coastal vulnerability in the Thrace Peninsula.
Remote sensing • land change • vulnerabilityAgricultural land suitability
GIS modeling and multi-criteria decision analysis for agricultural productivity and climate-sensitive crop suitability.
MCDA • suitability • climateSavanna land change & protected areas
Multi-sensor satellite imagery, spatial modeling and socioeconomic evidence to examine environmental degradation and recovery in Zambia and South Africa.
Land change • protected areas • multi-scale dataStanding dead trees across scales
Project experience connecting in-situ observation with LiDAR and hyperspectral data in Yellowstone.
Field data • LiDAR • hyperspectralGoogle Earth Engine training & workflows
International workshops and cloud-based satellite analysis across university and professional training settings.
GEE • JavaScript • cloud imageryTECHNOLOGY STACK
Platform-flexible by design.
The business is not tied to a single GIS vendor. Tool selection follows the data, scale, reproducibility and delivery requirements of the project.
ArcGIS ProArcGIS OnlineQGISGoogle Earth EngineGRASS GISENVIERDAS IMAGINETerrSetPythonRSQLJavaScriptWeb GISGPS / GNSSsUASGeoAI / MLRandom ForestMCDASpatial Statistics
FIELD + TEACHING EXPERIENCE
Full-workflow perspective.
Experience includes GIS and remote-sensing field training in Zambia, Google Earth Engine workshops in Slovakia and the United States, graduate/undergraduate geospatial instruction, and hands-on work spanning surveying, geodetic control, aerial photogrammetry and field-based spatial data collection.
Georgia TechClimate, aerosols & agricultural productivity • Central Asia
University of FloridaPh.D. Geography • savanna vegetation / protected-area land change
Zambia / southern AfricaField data collection, GIS/RS training and conservation projects
University of WyomingVisiting research • GeoAI, cloud GIS, wildfire / landscape applications
Colorado State / ClarksonSpatial analysis, cartography, geospatial analytics, surveying & engineering measurements