This repository contains the javascript files and some binaries created from them for application and your verification from the thesis "Predictive Wildfire Damage to Populated Regions at Wildland-Urban Interfaces: A Case-Based Survey of Hazard Factors in Victoria, Australia and California, United States" by Taniguchi-Wiegman, A., with support from professor Takeuchi, W. and lab members. The paper has not been published in a journal, but the license to publish the paper remains with the author(s). These scripts are applied through various collection of landcover imagery, urbanization prediction, nighttime lights, population distribution, surface temperature, soil moisture, drought index, wind, precipitation, and the location of firefighting stations (etc).
The final product may not load with the default memory provided by Google in Google Earth Engine, but it can be re-created from the original part-files in more broken-down risk maps.
If permissions were set wrong on any asset, fusion table (a known issue, though I have exported some of these using the provided tools before the Google sunset at End-Of-Year 2019), or other file issues arise please contact me directly at hello[-at-]madicetea[-dot-]me. Thank you.
Update: In late 2020, the thesis and the associated defence presentation were uploaded to this repository. These are provided for the benefit of any member of academia, the Town of Paradise (or Butte County, the State of California, or the federal government of the United States), and/or any interested member of the non-commercial general public to read and reference in their own further research projects. As we pass 2 years since the onset of the fires that changed the course of history for this small town, I hope it in some way may contribute to its rebuilding process. From a (potential) paper publication standpoint, it perhaps may at best be considered a draft / pre-print (for if nothing else, the report here is too long).
For end-of-reports: Taniguchi-Wiegman, A.; Takeuchi, W. (2019). "Predictive Wildfire Damage to Populated Regions at Wildland-Urban Interfaces: A Case-Based Survey of Hazard Factors in Victoria, Australia and California, United States". The University of Tokyo.
In-line citations: (Taniguchi-Wiegman et al., 2019)
The files in this repository are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0 - see the LICENSE file in this repository or https://creativecommons.org/licenses/by-nc-sa/4.0/). To recognize and give credit to the authors' work, we kindly ask you to cite the above article.
Explicit permission is given to re-use the license file (LICENSE.md) by itself, if it serves your project well. In the event you use it, a thanks line similar to the one below this is appreciated, but not required.
The author encourages derivatives and the use of the code and models in any interaction with city-planners, emergency personnel, forest services, space agencies, city councils, academics, project researchers, and anyone else -- so long as the there are good intentions in its use (as opposed to "ill-intent").
The author thanks Mr. Dalemans for his GitHub repo @ https://github.com/FlorisDalemans/biofuel-profitability/, as it serves the basis for this README file.
The author also thanks Google Earth Engine for providing a convenient platform for the en-masse data collection, analysis, and calculation/visualization of Remote Sensing information. Without this and their training sessions, this project would not have been possible. (On that note, a thank you to Mr. Michael DeWitt of Google for teaching me how to effectively export and use coloring as-appears in the GEE editor in my exports.)
Additionally, the author thanks Dr. W. Takeuchi -- thesis advisor at the University of Tokyo, for guidance and creation of the KBDI (Keetch-Bryam Drought Index) database used for the Australia region in this report.
Finally, the author thanks :
(1) Drs. Haemi Park and Prakhar Mishra for their constant guidance and encouragement.
(2) Mr. Xuan Truong Trinh for giving me a timeline and teaching me about spectrum graphs.
(3) Mrs. Etsuko Nakazono, for her technical guidance on LANDSAT imagery.
(4) Mr. Yan Guanyu, for always being there to debug my programming code.
(5) Mrs. Nguyen Thi Quynh Trang and Mrs. Nuntikorn Kitratporn for their guidance on flowchart software and for teaching me the difference between emissions and burned-area analysis.
(6) Dr. Hinori Arai for his guidance when I was first choosing a topic.
(7) All other members of W. Takeuchi lab for their assistance and encouragement.