Latest Posts
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Wildfire Impact Analysis Using Satellite Imagery
A forthcoming article examining wildfire impacts in Syria through satellite imagery and geospatial analysis.
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Mapping Urban Heat at Higher Resolution: Machine Learning-Based Downscaling of ECOSTRESS LST from 70 m to 10 m in Python
A machine learning workflow for downscaling NASA's ECOSTRESS land surface temperature data from 70 m to 10 m resolution to better resolve neighborhood-scale urban heat patterns.
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Production-Ready Terrain Analysis at Scale: A Cloud-Native Geospatial Workflow with STAC and Xarray
Modern geospatial workflows are shifting away from downloading massive datasets toward querying data directly from the cloud. A walkthrough of how to go from raw elevation data to terrain insights in a reproducible fashion without downloading a single file manually.
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Building a Reproducible Geospatial ML Pipeline (In Preparation)
A walkthrough of structuring an end-to-end geospatial machine learning workflow, from data ingestion using STAC and Xarray to time series forecasting and experiment tracking with MLflow, with a focus on efficiency and reproducibility.