RAPID/Collaborative Research: Data Collection on Wildfire Urban Interface (WUI) for Schools and Hospitals Following the 2018 California Camp Fire | 1917298
Keywords
wildfire, WUI community, Paradise, Camp Fire
Hazmapper Maps
GEER_CampWildFires, CA
Version
2
|
Description:
This project collected data on the damage of schools and the hospital in Paradise, CA due to the 2018 Camp Fire. The project further evaluated the impact of that damage on the town itself. The goals of this project was to understand how to use drones, LiDAR, and field measurements to evaluate the impact of wildfire on engineered buildings. The data from this project can be used to measure deformations of buildings - local and global - due to fire, extent of damage and rate of recovery can be evaluated from the google street view data, and evaluating the burn severity of mitigated and unmitigated forests can be calculated using drone footage. The data within this project is just the engineering data.
Mission | Camp Wildfire Reconnaissance - Spring 2019
Cite This Data:
Fischer, E., H. Mahmoud, S. Schulze, M. Grilliot, S. Hamideh, K. Dedinsky (2022). "Camp Wildfire Reconnaissance - Spring 2019", in Camp Wildfires Reconnaissance-Spring 2019 [Version 2]. DesignSafe-CI. https://doi.org/10.17603/ds2-2kh8-f472
Data on damage to metal buildings, timber buildings, and concrete buildings was collected to quantify the local and global damage of the structure. This data was collected through a combination of LiDAR and UAS. UAS was then used to collect data on the wildland that surrounded Pine Ridge Elementary school to show the difference in burn severity between mitigated and unmitigated forest. Specifically, the following methods were used to gather data:
LiDAR and UAS data captured at Achieve Charter High School (metal building structure); LiDAR data of a Safeway in Paradise, CA; UAS data collected at Pine Ridge Elementary School; LiDAR and UAS data captured at Adventist Health Hospital; LiDAR data of a residential concrete structure on Berkshire Way (previously Burke Ln); and LiDAR and UAS data captured at Ponderosa Pine Elementary School. LiDAR was collected by means of Terrestrial Laser Scanning (TLS) and UAS data was created through the use of SfM (Structure from Motion) by drones.
