Urban trees and structure loss in the 2025 Eaton and Palisades fires

Wind-driven wildfires that penetrate urban environments are the leading cause of structure loss due to wildfire in the Western United States, yet the role of urban trees in such events remains unclear. In January 2025, two severe wind-driven fires burned through neighborhoods of Altadena (Eaton Fire) and Pacific Palisades, Southern California. This data was used to examine what effect the spatial distribution of urban trees and structures had on the probability of structure loss during these fires. Some data associated with this project is licensed and cannot be shared publicly. This data represents the unlicensed portion of the data associated with this project. It is mainly spatial files (shapefiles and GeoJSON) used to generate the inputs for statistical modeling. A csv of model inputs is also included.
, , # Data from: Urban trees and structure loss in the 2025 Eaton and Palisades fires

Dataset DOI: [10.5061/dryad.5hqbzkhkd](https://doi.org/10.5061/dryad.5hqbzkhkd)

## Description of the data and file structure

This data was collected as part of a project examining the degree to which the spatial distribution of urban trees and structures in the Eaton and Palisades fires impacted structure losses. 

### Files and variables

#### File: palisades_burned_struc_model_inputs.csv

**Description:** Inputs for statistical modeling of the Palisades fire

##### Variables

* UID: Unique identifier 
* lon: longitude
* lat: latitude
* utm_x: UTM x coordinate EPSG: 32611
* utm_y: UTM y coordinate EPSG: 32611
* DAMAGE: One of\
`Inaccessible`,\
`No Damage`,\
`Affected (1–9%)`,\
`Minor (10–25%)`,\
`Major (26–50%)`,\
`Destroyed (>50%)`
* distance_to_nearest_building: Euclidean distance (m) from each structure to the nearest neighboring structure.
* bearing_to_nearest_building: Bearing in degr..., ,