The DOI matches its Crossref record.
Identification of firefighter safety zones using lidar
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Escape routes are of little use unless they direct fire crews towards suitable safety zones, which can be geospatially identified and evaluated.
“However, escape routes are of little use unless they direct fire crews towards suitable safety zones, which can be geospatially identified and evaluated [27,28].”
From Modeling wildland firefighter travel rates by terrain slope: results from GPS-tracking of type 1 crew movement (2020) · cites this paper as [28]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 17
- Alexander, 2013, How much time does it take for a wildland firefighter to reach a safety zone?, Wildfire, 22, 12
- Beighley, 1995, Beyond the safety zone: creating a margin of safety, Fire Manag. Notes, 55, 21
- Butler, 2014, Wildland firefighter safety zones: a review of past science and summary of future needs, Int. J. Wildland Fire, 23, 295, 10.1071/WF13021 · DOI
- Butler, 2002, Get into the zone, Wildfire, 11, 16
- Butler, 1998, Firefighter safety zones: a theoretical model based on radiative heating, Int. J. Wildland Fire, 8, 73, 10.1071/WF9980073 · DOI
- Clark, 2004, Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape, Remote Sens. Environ., 91, 68, 10.1016/j.rse.2004.02.008 · DOI
- Cova, 2009, Protective actions in wildfires: evacuate or shelter-in-place?, Nat. Hazards Rev., 10, 151, 10.1061/(ASCE)1527-6988(2009)10:4(151) · DOI
- De'ath, 2000, Classification and regression trees: a powerful yet simple technique for ecological data analysis, Ecology, 81, 3178, 10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2 · DOI
- Fryer, 2013, Wildland firefighter entrapment avoidance: modelling evacuation triggers, Int. J. Wildland Fire, 22, 883, 10.1071/WF12160 · DOI · Paper page
- Gleason, 1991, LCES – a key to safety in the wildland fire environment, Fire Manag. Notes, 52, 9
- Guo, 2010, Effects of topographic variability and lidar sampling density on several DEM interpolation methods, Photogrammetric Eng. Remote Sens., 76, 701, 10.14358/PERS.76.6.701 · DOI
- Lefsky, 2002, BioScience, 52, 19, 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2 · DOI
- Ma, 2005, DEM generation and building detection from lidar data, Photogrammetric Eng. Remote Sens., 71, 847, 10.14358/PERS.71.7.847 · DOI
- Rossi, 2011, An analytical model based on radiative heating for the determination of safety distances for wildland fires, Fire Saf. J., 46, 520, 10.1016/j.firesaf.2011.07.007 · DOI
- Stoker, 2008, The need for a national lidar dataset, Photogrammetric Eng. Remote Sens., 74, 1066
- Zárate, 2008, Establishing safety distances for wildland fires, Fire Saf. J., 43, 565, 10.1016/j.firesaf.2008.01.001 · DOI
- Zhang, 2006, Automatic construction of building footprints from airborne LIDAR data, Geosci. Remote Sensing, IEEE Trans., 44, 2523, 10.1109/TGRS.2006.874137 · DOI
Cited by
Sorted by citations
Campbell, M. J., Dennison, P. E., & Butler, B. W. (2017) · International Journal of Wildland Fire · doi:10.1071/wf17031 · Cited by 42
Self-citationEscape Route Index: A Spatially-Explicit Measure of Wildland Firefighter Egress Capacity
Campbell, M. J., Page, W. G., Dennison, P. E., & Butler, B. W. (2019) · Fire · doi:10.3390/fire2030040 · Cited by 37
Self-citationSullivan, P. R., Campbell, M. J., Dennison, P. E., Brewer, S. C., & Butler, B. W. (2020) · Fire · doi:10.3390/fire3030052 · Cited by 20
Self-citation
Metadata
- Authors
- Dennison, P. E., Fryer, G. K., & Cova, T. J.
- ORCID
- Dennison, Philip E.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 59
- Pages
- 91-97
- ISSN
- 1364-8152
- Cited by
- 27
- References
- 0
- Language
- en
- Funders
- National Science Foundation (1100890, 1225810, 1226353)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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