Predicting locations for urban tree planting

dc.contributor.advisorJohnson, Daniel P. (Daniel Patrick), 1971-
dc.contributor.authorKing, Steven M.
dc.contributor.otherBein, Frederick L. (Frederick Louis), 1943-
dc.contributor.otherLulla, Vijay O.
dc.date.accessioned2015-02-24T15:17:38Z
dc.date.available2015-02-24T15:17:38Z
dc.date.issued2014
dc.degree.date2014en_US
dc.degree.disciplineDepartment of Geographyen
dc.degree.grantorIndiana Universityen_US
dc.degree.levelM.S.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractThe purpose of this study was to locate the most suitable blocks to plant trees within Indianapolis, Indiana’s Near Eastside Community (NESCO). LiDAR data were utilized, with 1.0 meter average post spacing, captured by the Indiana Statewide Imagery and LiDAR Program from March 13, 2011 to April 30, 2012, to conduct a covertype classification and identify blocks that have low canopies, high impervious surfaces and high surface temperatures. Tree plantings in these blocks can help mitigate the effects of the urban heat island effect. Using 2010 U.S. Census demographic data and the principal component analysis, block groups with high social vulnerability were determined, and tree plantings in these locations could help reduce mortality from extreme heat events. This study also determined high and low priority plantable space in order to emphasize plantable spaces with the potential to shade buildings; this can reduce cooling costs and the urban heat island, and it can maximize the potential of each planted tree.en_US
dc.identifier.urihttps://hdl.handle.net/1805/5942
dc.identifier.urihttp://dx.doi.org/10.7912/C2/787
dc.language.isoen_USen_US
dc.rightsCC0 1.0 Universal
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0
dc.subjectLiDARen_US
dc.subjecturban tree plantingen_US
dc.subjectsocial vulnerabilityen_US
dc.subjectprincipal component analysisen_US
dc.subject.lcshOptical radar -- Research -- Indiana -- Indianapolisen_US
dc.subject.lcshTrees in cities -- Indiana -- Indianapolisen_US
dc.subject.lcshTree planting -- Indiana -- Indianapolisen_US
dc.subject.lcshUrban forestry -- Indiana -- Indianapolisen_US
dc.subject.lcshUrban heat island -- Indiana -- Indianapolisen_US
dc.subject.lcshGeographic information systems -- Indiana -- Indianapolisen_US
dc.subject.lcshForest canopy ecology -- Research -- Indiana -- Indianapolisen_US
dc.subject.lcshHeat -- Physiological effect -- Research -- Indiana -- Indianapolisen_US
dc.subject.lcshIndianapolis (Ind.) -- Remote-sensing images -- Researchen_US
dc.subject.lcshHeat waves (Meteorology) -- Research -- Indiana -- Indianapolisen_US
dc.subject.lcshEastside (Indianapolis, Ind.)en_US
dc.subject.lcshNeighborhoods -- Indiana -- Indianapolisen_US
dc.subject.lcshCitizens' associations -- Indiana -- Indianapolisen_US
dc.subject.lcshNear East Side Community Organization (Indianapolis, Ind.)en_US
dc.subject.lcshEnvironmental risk assessment -- Indiana -- Indianapolisen_US
dc.subject.lcshPrincipal components analysisen_US
dc.titlePredicting locations for urban tree plantingen_US
dc.typeThesisen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
king_9jun.pdf
Size:
3.79 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description: