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1. Burn-Severity-and-Vegetation-Mortality-Analysis-of-the-Beachie-Creek-Lionshead-Complex-Fire Burn-Severity-and-Vegetation-Mortality-Analysis-of-the-Beachie-Creek-Lionshead-Complex-Fire Public

   Remote sensing analysis of the 2020 Beachie Creek–Lionshead Complex Fire using Sentinel‑2 imagery, NBR/dNBR burn‑severity mapping, and vegetation‑mortality assessment. Includes severity classificat…

2. California-Wildfire-Ignition-ML-Modeling California-Wildfire-Ignition-ML-Modeling Public

   Modeling Wildfire Ignition in California Utilizing Daily Weather Readings and Machine Learning.

   Jupyter Notebook

3. Pennsylvania-Hydrology-ML-Streamflow-Forecasting Pennsylvania-Hydrology-ML-Streamflow-Forecasting Public

   Machine‑learning–based streamflow forecasting for Pennsylvania using TerraClimate data and Random Forest modeling. Includes trend analysis, hyperparameter tuning, spatial prediction mapping, and wa…

4. Dixie-Fire-Burn-Severity-Analysis Dixie-Fire-Burn-Severity-Analysis Public

   A Landsat‑based analysis of the 2021 Dixie Fire using NDVI, NBR, and dNBR to map vegetation loss, quantify burn severity, and examine spatial burn patterns across the Plumas and Lassen National For…

5. Atlanta-Urban-Sprawl-Change-Detection Atlanta-Urban-Sprawl-Change-Detection Public

   Remote sensing analysis of Atlanta’s urban sprawl from 1999 to 2021 using Landsat 7/8 imagery. Project includes ISO Cluster classification, forest‑to‑development change detection, LandPro2009 land‑…

6. Satellite-Land-Cover-Classification-ML Satellite-Land-Cover-Classification-ML Public

   Satellite image classification using CNN + Random Forest with NDVI

   Jupyter Notebook 1