Publication Details
- Title:
- Videos, images, and processed results from laboratory and field studies of firebrand generation from trees
- Author(s):
-
Hudson, Tyler R.; Blunck, David L. - Publication Year:
- 2022
- How to Cite:
-
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Hudson, Tyler R.; Blunck, David L. 2022. Videos, images, and processed results from laboratory and field studies of firebrand generation from trees. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0071
- Abstract:
- These data were collected as part of a project funded by the Joint Fire Science Program (Grant 15-1-04-9). The objective of the project was to identify what physical conditions have the greatest influence on the generation of embers (also known as firebrands). The efforts consisted of experiments at both laboratory (i.e., branch-scale) and outdoor (i.e., tree-scale) studies. This data publication contains the data collected for the latter study which took place from 2015-2019. This study included the evaluation of Douglas-fir (Pseudotsuga menziesii), grand fir (Abies grandis), western juniper (Juniperus occidentalis) and ponderosa pine (Pinus ponderosa) trees. Embers were collected on an array of fire-resistant fabric panels and trays filled with water. This includes images of all embers collected during testing and fabric with char marks after testing as well as the tabular data containing all testing condition information. Videos of the experiment are included. Additionally, the R code used to run the linear regression analysis, data files used to run that code, and the MATLAB scripts used to perform other calculations and plot the results are provided.
- Keywords:
- environment; Fire; Wildland/urban interface; Fire suppression, pre-suppression; firebrand; ember; Joint Fire Science Program; JFSP; Oregon
- Related publications:
- Hudson, Tyler R. 2018. Multi-scale study of ember production and transport under multiple environmental and fuel conditions. Master's Thesis. Corvallis, OR: Oregon State University. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/1n79h969p
- Hudson, Tyler R.; Bray, Ryan B.; Blunck, David L.; Page, Wesley; Butler, Bret. 2020. Effects of fuel morphology on ember generation characteristics at the tree scale. International Journal of Wildland Fire. 29(11): 1042-1051. https://doi.org/10.1071/wf19182
- Blunck, David L.; Butler, Bret; Bailey, John; Wagenbrenner, Natalie. 2019. Multi-scale study of ember production and transport under multiple environmental and fuel conditions. Joint Fire Science Program Final Report. Project ID: 15-1-04-9. (final report included in full data publication download as \Supplements\15-1-04-9_final_report.pdf). https://www.firescience.gov/projects/15-1-04-9/project/15-1-04-9_final_report.pdf
- Hudson, Tyler R.; Blunck, David L. 2022. Videos and processed results from laboratory and field studies of firebrand generation from branches and sticks. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0070
- Metrics:
- Visit count : 215
Access count: 3
Download count: 34
More details - Data Access:
-
- View metadata (HTML)
- View file index (HTML), which lists all files in this data publication and short description of their contents
- Download all files below for the complete publication:
- RDS-2022-0071_Metadata_Fileindex.zip (18.96 KB; sha256: 0706ce038770bbd3d3dd03361d98c7a6c3c83cbb0b9a03b35cb95a99db09a592Checksum)
- RDS-2022-0071_Supplements.zip (8.24 MB; sha256: 2cea39e9921ea618e9beab52e2d8fb334a686edc7341cd51ae8d07c85931271cChecksum)
- RDS-2022-0071_Data_ember_images.zip (11.2 GB; SHA256: 0AE952F4C9C3469274206C7E47DC17316DD540505F6D40D941CDBAF96262FAFEChecksum)
- RDS-2022-0071_Data_fabric_images.zip (10.2 GB; SHA256: 3349A8034354B907C96D61A49B186335004C1F37855563B4D125F7F9B36E9E99Checksum)
- RDS-2022-0071_Data_tabular.zip (90.92 KB; sha256: 6e5aafaf597a90f11e407e60fd078e469c98dd82880b7a2a6b9e23820392268eChecksum)
- RDS-2022-0071_Data_videos.zip (28.2 GB; SHA256: 4D0825F9734799CCF7CEE5EF1F8D9898363BA21F288706D1A0AA089C04D5294CChecksum)
- RDS-2022-0071_Metadata_Fileindex.zip (18.96 KB;
Need information about Using our Formats?
U.S. Department of Agriculture