dixie-fire-perimeter-interpolation
A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters.
https://github.com/tgestabrook/dixie-fire-perimeter-interpolation
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Repository
A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters.
Basic Info
- Host: GitHub
- Owner: tgestabrook
- Language: R
- Default Branch: main
- Size: 45.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Dixie-Fire-perimeter-interpolation
A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters. The maps were developed for the following paper, currently under review:
Estabrook, Thomas, Jeremy S. Fried, Weimin Xi, Haibin Su, Jianwei Zhang. In review. "Predicting burn severity from forest stand structure and weather offers potential to map fire hazard mitigation." submitted to Ecosphere
Maps:
(30 meter cell size, cell values record the Julian interval, in hours, between 2021-01-01 00:00 GMT and fire detection) - VIIRStin.tif - Smoothed TIN interpolation of VIIRS points done in QGIS. This was my earliest attempt and, while it has some obvious visual artefacts, it ended up performing best in the model. - VIIRSMODISidw2km.tif - IDW interpolation of a layer made by combining VIIRS and MODIS detections. The 2 km window size came from Scaduto et al. 2020. This layer would need to be masked to the actual final Dixie perimeter. - VIIRSMODISwin375m.tif - each pixel is assigned the timestamp of the earliest fire detection within a 375-meter window. - CIraster.tif - this map uses the Courtney Intel IR hotspot kmz files found here. Each pixel with a value denotes its earliest appearance in a CI hotspot file. The FTP archive has substantially more data that could be leveraged in a similar way, but the CI hotspots seemed to have the most consistent timestamps and so required less data cleaning. - CIrasterfilled.tif - as above, but uses the IDW map to fill in NA values.
These were developed from the following remotely sensed datasets: - Combined detections from VIIRS and MODIS clipped to Dixie area, with low confidence pixels removed (from VIIRS, those marked as 'l', and from MODIS conf < 75). I also manually eliminated some obvious outliers. This is the layer I used for the IDW and window interpolations. - Extracted 'heat' polygons (aerially detected infrared hotspots) from the Courtney Intel folder in the NIFC FTP server.
If you would like a copy of either layer, please reach out at my email: tgestab@umich.edu or thomas.estabrook@usda.gov
Works cited:
NRT VIIRS 375 m Active Fire product VNP14IMGT distributed from NASA FIRMS. Available on-line https://earthdata.nasa.gov/firms. doi:10.5067/FIRMS/VIIRS/VNP14IMGT_NRT.002
Scaduto, Erica, Bin Chen, and Yufang Jin. "Satellite-based fire progression mapping: A comprehensive assessment for large fires in northern California." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 5102-5114.
Owner
- Name: Thomas Estabrook
- Login: tgestabrook
- Kind: user
- Location: Seattle, WA
- Website: https://sites.google.com/view/tgestabrook/home
- Repositories: 1
- Profile: https://github.com/tgestabrook
I am a geospatial data scientist interested in applying data science and GIS to solve problems in environmental stewardship.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Dixie fire progression maps
message: >-
If you use this dataset, please cite it using the metadata
from this file.
type: dataset
authors:
- given-names: Thomas
family-names: Estabrook
email: tgestab@umich.edu
affiliation: >-
U.S. Forest Service, Pacific Northwest Research
Station
orcid: 'https://orcid.org/0000-0002-1623-2493'
repository-code: >-
https://github.com/tgestabrook/Dixie-Fire-perimeter-interpolation
keywords:
- remote sensing
- VIIRS
- MODIS
- wildfire
license: MIT