Full Research

MTBS Wildfire Analysis

California Β· 1984–2022 Β· Google Earth Engine Β· Landsat Β· Sentinel-2 Β· Open-Meteo

01 β€” About

This project investigates how satellite-derived vegetation indices and climate data can characterise wildfire burn severity trends across California over 38 years. Data is sourced from the Monitoring Trends in Burn Severity (MTBS) programme, Google Earth Engine, and the Open-Meteo historical weather archive.

πŸ’» GitHub Repo

02 β€” Data Sources

MTBS

Burn severity and fire perimeters, 1984–2022, from the USGS composite release.

Landsat 8 / Sentinel-2

Multispectral imagery for EVI and NDVI calculation via Google Earth Engine.

Open-Meteo Archive

ERA5 reanalysis weather (peak temperature, minimum humidity) per fire event.

GeoPandas / pyogrio

Reads the national MTBS attribute table and filters it to California wildfires.

03 β€” Methodology Pipeline

πŸ›°
MTBS Pull
Perimeter data
☁️
Cloud Mask
Landsat / S2
🌿
EVI / NDVI
Band calc
🌑
Weather
Open-Meteo
πŸ“Š
Analysis
Severity trends

04 β€” Acres Burned & EVI Recovery

Illustrative reference curves β€” not computed from this dataset.

05 β€” Era Comparison

How the wildfire crisis has escalated across three distinct eras.

06 β€” Fire Weather Analysis

Each dot is one fire event. Higher temperatures and lower humidity are strongly associated with larger, high-severity fires.

07 β€” Largest Events & Fire Season

08 β€” Key Findings

09 β€” Tools & Links