Wildfire Detection and Communication–Aerospace Applications–Trade Study
dc.contributor.author | Crawford, Setrige W. | |
dc.contributor.author | Shahroudi, Kamran Eftekhari | |
dc.date.accessioned | 2019-01-15T20:26:07Z | |
dc.date.available | 2020-02-03T20:18:24Z | en |
dc.date.issued | 2018-12 | |
dc.identifier.citation | Crawford, Setrige W.; Shahroudi, Kamran Eftekhari (2018). "Wildfire Detection and Communication–Aerospace Applications–Trade Study." INSIGHT 21(4): 32-40. | |
dc.identifier.issn | 2156-485X | |
dc.identifier.issn | 2156-4868 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/146933 | |
dc.description.abstract | Wildfires have increased in frequency, duration, and intensity worldwide. Climate change, drought, and other factors have not only increased susceptibility to wildfires, but have also increased the duration of the season. There are a number of factors affecting wildfires: detection, speed of communication/response time, resources/politics/climate change/infrastructure to fight fires, and prevention education. A wildfire doubles in size and intensity every 3 to 5 minutes and response times tend to be 10 to 15 minutes at best. The goal of the trade analysis is to arrive at a cost‐effective and robust performance system which can be operated at the county level with minimal infrastructure to mitigate the menacing problem of forest wildfires. The approach will be a disciplined systems engineering approach to objectively arrive at the best solution for detection and communication of wildfires, having analyzed the measures of effectiveness (MOEs) for all critical requirements for a technologically diverse set of solutions. Though the analysis is still at a very early stage and the outcome could change as additional details are developed, due diligence was exercised in the evaluation of parameters such as detection time, total operations cost, and operational flexibility, to name a few. Early trade‐off results indicate that the lead concept is a rotor‐wing unmanned aerial vehicle (UAV) concept, utilizing a rotorcraft configuration which could be outfitted with a remote‐sensing payload compliment based on light detection and ranging (LiDAR) technology with associated functional equipment such as global positioning systems (GPS) and inertial measurement units (IMU). The UAV would be semiautonomous, launched from and remotely controlled by an operator in the general area of interest. Upon arriving at this area of interest, the UAV would then fly a flight plan autonomously to collect and communicate data to a base station to be used to direct wildfire mitigation services in the event of a positive detection. | |
dc.publisher | Wiley | |
dc.title | Wildfire Detection and Communication–Aerospace Applications–Trade Study | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/146933/1/inst12224.pdf | |
dc.identifier.doi | 10.1002/inst.12224 | |
dc.identifier.source | INSIGHT | |
dc.identifier.citedreference | Brandis, A. M., C. O. Johnston, and B. A. Cruden. 2016. “ Active Fire Detection Using Remote Sensing Based Polar-Orbiting and Geostationary Observations.” Paper presented at the AIAA Conference, Washington, US-DC, 13-17 June. | |
dc.identifier.citedreference | California Department of Forestry and Fire Protection. 2014. “ Emergency Funding, Fire Suppression Expenditures.” https://www.fire.ca.gov. | |
dc.identifier.citedreference | Dallosta, P. M. and T. A. Simcik. 2012. “ Designing for Support-ability: Driving Reliability, Availability, and Maintainability In While Driving Costs Out.” Defense AT&L 41 ( 2 ) 34 – 38. | |
dc.identifier.citedreference | Hart, L. E. 2015. “ Introduction to Model-Based System Engineering and SysML.” Presented at the Delaware Valley INCOSE Chapter Meeting. Mt. Laurel, US-NJ, 30 July. https://www.incose.org/docs/default-source/delaware-valley/mbse-over-view-incose-30-july-2015.pdf?sfvrsn=0&sfvrsn=0. | |
dc.identifier.citedreference | Kossiakoff, A., W. N. Sweet, S. J. Seymour, and S. M. Biemer. 2011. Systems Engineering Principles and Practices, 2nd ed. Hoboken, US-NJ: Wiley. | |
dc.identifier.citedreference | Leblon, B., 2014. “ Use of Remote Sensing in Wildfire Management.” In Sustainable Development Authoritative and Leading Edge Content for Environmental Management, edited by S. Curkovic, Chapter 3. Rijeka, HR: InTech. | |
dc.identifier.citedreference | Marcoe, K. 2007. “ LiDAR, an Introduction and Overview,” Presented at Portland State University, course GEOG 581, Portland, US-OR, Fall Semester. | |
dc.identifier.citedreference | Manyangadze, T. 2009. “ Forest Fire Detection for Near Real-Time Monitoring Using Geostationary Satellites.” Masters thesis, International Institute for Geo-Information Science and Earth Observation (Enschede, NL). | |
dc.identifier.citedreference | National Atmospheric and Oceanic Administration. 2018. “ NOAA’s Geostationary and Polar-Orbiting Weather Satellites.” http://noaasis.noaa.gov/NOAASIS/ml/genlsatl.html. | |
dc.identifier.citedreference | Northern Vermont University-Lyndon Atmospheric Sciences. 2018. http://apollo.lsc.vsc.edu/. | |
dc.identifier.citedreference | Project Management Institute. 2017. A Guide to the Project Management Body of Knowledge Guide. 6th ed. Newtown Square, US-PA: PMI. | |
dc.identifier.citedreference | Smith, P. G. and G. Merritt. 2002. Proactive Risk Analysis Management. New York, US-NY: Productivity Press. | |
dc.identifier.citedreference | United States Department of Agriculture. 2015. “ The Rising Cost of Wildfire Operations: Effects on the Forest Service’s Non-Fire Work.” https://www.fs.fed.us/sites/default/files/2015-Rising-Cost-Wildfire-Operations.pdf. | |
dc.identifier.citedreference | Valerdi, R. 2005. “ Cost Metric for Unmanned Aerial Vehicles.” Paper presented at the AIAA Conference, Arlington, US-VA, 26-29 September. | |
dc.identifier.citedreference | Young, L. A. and J. A. Yetter. 2015. “ System Analysis Applied to Autonomy: Application to High-Altitude Long-Endurance Remotely Operated Aircraft.” AIAA 20015-7103. NASA Ames Research Center, Moffett Field, US-CA. NASA Langley Research Center, Hampton, US-VA. | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to Contact Us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.