Author: Tom Gibbens-Matsuyama ([email protected])
Image Credits: Carsten Shertzer | Getty Images
In December of 2017, one of California's largest wildfires burned over 280,000 acres of land in Ventura and Santa Barbara counties. The purpose of this analysis is to do the following: visualize how the Air Quality Index (AQI) was effected in Santa Barbara County and produce a false color image containing the Thomas Fire boundary.
- Use
pandasto read in tabular data - Use
rioxarrayandgeopandasto read in spatial data - Read data from a link and local source
- Filter and transform tabular data types with
pandas - Filter and transform spatial data with
rioxarrayandgeopandas - Visualize filtered AQI data
- Visualize filtered landsat and boundary data
AQI data from the US Environmental Protection Agency (EPA) will be used to visualize the impact of the 2017 Thomas Fire in Santa Barbara County. This data comes from these pre-generated data files. These files are updated twice a year, once in June to capture the entire previous year and once in December to capture the Summer.
This dataset is a collection of bands from the Landsat Collection 2 Level-2 collected by the Landsat 8 satellite. This data was taken from the Microsoft Planetary Computer data catalogue and pre-processed for our use.
The second dataset is a pre-processed geospatial data frame from Data.gov. This dataset contains the Thomas Fire perimeter data.
AQI Data: Available from: (https://aqs.epa.gov/aqsweb/airdata/download_files.html#AQI.) Access date: October 23, 2024
Microsoft Planetary Computer Data Catalogue, Landsat collection 2 Level-2. Available from: (https://planetarycomputer.microsoft.com/dataset/landsat-c2-l2.) Access date: November 19, 2024.
Data.gov Data Catalogue, California Fire Perimeters (all). Available from: (https://catalog.data.gov/dataset/california-fire-perimeters-all-b3436.) Access date: November 19, 2024.
Materials created by Carmen Galaz-Garcia for EDS-220: Working with Environmental Data