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mashalle-o/README.md

Mashalle Olomi

I measure vegetation structure from lidar and multispectral imagery (canopy height, biomass, and carbon) across agricultural and forest landscapes.

M.S. International Agricultural Development, UC Davis (2026), Digital Agriculture (remote sensing & plant science) specialization.

My background runs from an M.S. thesis on whole orchard recycling and almond biochar compost in young almond systems, through a NASA DEVELOP project fusing Sentinel-1/2, USGS 3DEP lidar and drone-based lidar for agroforestry biomass estimation in the Midwest, to evaluation of spaceborne-derived canopy height models. Field side: UAV photogrammetry,GNSS/RTK, thermal and CWSI. Analysis side: Python (GeoPandas, scikit-learn, XGBoost), Google Earth Engine, mixed models, R/lidR, QGIS and ArcGIS.

Portfolio hub: https://mashalle-o.github.io/


Currently working through a build sequence: lidar production QC → spatial SQL → GEDI vs 3DEP canopy height over California almonds → perennial-crop mapping → point-cloud deep learning → geospatial agent evaluation. Repos appear here as they ship.

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  1. learn-geocomputation learn-geocomputation Public

    A curated list of tools, tutorials, repositories, and books for learning geocomputation.

    1

  2. geo-project-template geo-project-template Public

    A reproducible starting point for geospatial projects

    Python

  3. mashalle-o.github.io mashalle-o.github.io Public

    SCSS