Staff View
Exploration of FARO freestyle 3D laser scanners as a method for estimating surface fuel loading for wildland fire management

Descriptive

TitleInfo
Title
Exploration of FARO freestyle 3D laser scanners as a method for estimating surface fuel loading for wildland fire management
Name (type = personal)
NamePart (type = family)
Rua
NamePart (type = given)
Joseph
DisplayForm
Joseph Rua
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Hartman
NamePart (type = given)
Jean Marie
DisplayForm
Jean Marie Hartman
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Green
NamePart (type = given)
Edwin
DisplayForm
Edwin Green
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Meixler
NamePart (type = given)
Marci
DisplayForm
Marci Meixler
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2018
DateOther (qualifier = exact); (type = degree)
2018-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2018
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
To evaluate the effectiveness of the FARO 3D handheld LiDAR unit, I determined when ambient light affected the LiDAR’s detection capability. I then used standard destructive harvest methods combined with LiDAR data to examine the relationship between the number of pixels captured by the LiDAR unit with the log transformed dry biomass of the harvest fuels in both leaf-on and leaf-off conditions. Using a Bayesian regression model with a non-informative prior, the analysis showed a weak relationship between pixels and log biomass in leaf-on conditions with an R2 of 0.22 and a moderately strong relationship between pixels and log biomass in leaf-off conditions with an R2 of 0.67. The results suggest that handheld LiDAR units have the potential to replace destructive harvest methods under certain conditions, but may not serve as a tool for fire managers to utilize as a regular tool for estimate surface fuel loading.
Subject (authority = RUETD)
Topic
Ecology and Evolution
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8565
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (vi, 43 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Three-dimensional imaging
Subject (authority = ETD-LCSH)
Topic
Forest fires--Prevention and control
Note (type = statement of responsibility)
by Joseph Rua
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T36M3B1W
Genre (authority = ExL-Esploro)
ETD graduate
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Rua
GivenName
Joseph
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-12-15 14:16:08
AssociatedEntity
Name
Joseph Rua
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.5
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-12-22T12:01:01
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-12-22T12:01:01
ApplicationName
Microsoft® Word 2013
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024