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California's Thomas Fire (2017) Geospatial data analysis & visualization in Python (Jupyter Notebooks)

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Thomas Fire Data Analysis

thomas-fire-img Image credits: Iglesias-Rodriguez Lab, UCSB, Project ACIDD

Geospatial data analysis & visualization in Python (Jupyter Notebooks) of California's Thomas Fire (December 2017)

Author: Anna Ramji @a-ramji | [email protected]

Read more about this project on my blog

This repository contains a Jupyter Notebook of my analysis and visualization of three key datasets related to the Thomas Fire.

Data

Repository Structure

├── LICENSE
├── README.md
├── data
│   ├── California_Fire_Perimeters_2017
│   │   ├── California_Fire_Perimeters_2017.cpg
│   │   ├── California_Fire_Perimeters_2017.dbf
│   │   ├── California_Fire_Perimeters_2017.prj
│   │   ├── California_Fire_Perimeters_2017.shp
│   │   └── California_Fire_Perimeters_2017.shx
│   └── landsat8-2018-01-26-sb-simplified.nc
└── thomas-fire-analysis.ipynb

Sources

US EPA Daily AQI Data [Data File]. Accessed Oct 25, 2023

Landsat 8 satellite surface reflectance data, from MPC Landsat collection [Data File]. Accessed Nov 28, 2023

2017 CA fire perimeter shapefile [Data File]. Accessed November 28, 2023

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