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Forestry GIS Remote Sensing Analyst
Habilidades

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Forestry & Remote Sensing Research Project
Self Level • Trabajador autónomo
May 2026 - Present • 3 mos
Applied computational methods to forestry datasets, including species distribution modeling using Random Forest classifiers and vegetation health analysis via satellite imagery.
Independent Geospatial Analyst
Self Employed • Trabajador autónomo
May 2026 - Present • 3 mos
Developed end-to-end geospatial pipelines including post-fire burn severity mapping (dNBR from Sentinel-2 imagery) and LiDAR-derived canopy height modeling. Built using Python, GeoPandas, Rasterio, and Google Earth Engine