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dc.contributor.authorWesley, Elizabeth Jane
dc.contributor.authorBrunsell, Nathaniel A.
dc.identifier.citationWesley, E.J.; Brunsell, N.A. Greenspace Pattern and the Surface Urban Heat Island: A Biophysically-Based Approach to Investigating the Effects of Urban Landscape Configuration. Remote Sens. 2019, 11, 2322.
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractSurface urban heat islands (SUHIs) are influenced by the spatial distribution of green space, which in turn can be influenced by urban planning. When studying the relationship between structure and function it is critical that the scale of observation reflects the scale of the phenomenon being measured. To investigate the relationship between green space pattern and the SUHI in the Kansas City metropolitan area, we conducted a multi-resolution wavelet analysis of land surface temperature (LST) to determine the dominant length scales of LST production. We used these scales as extents for calculating landscape metrics on a high-resolution land cover map. We built regression models to investigate whether–controlling for the percent vegetated area–patch size, fragmentation, shape, complexity, and/or proximity can mitigate SUHIs. We found that while some of the relationships between landscape metrics and LST are significant, their explanatory power would be of little use in planning for green infrastructure. We also found that the relationships often reported between landscape metrics and LST are artifacts of the relationship between the percent of vegetation and LST. By using the dominant length scales of LST we provide a methodology for robust biophysically-based analysis of urban landscape pattern and demonstrate that the contributions of green space configuration to the SUHI are negligible. The simple result that increasing green space can lower LST regardless of configuration allows the prioritization of resources towards benefiting neighborhoods most vulnerable to the negative impacts of urban heat.en_US
dc.rightsc 2019 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.subjectSurface urban heat islanden_US
dc.subjectGreen space patternen_US
dc.subjectDominant length scaleen_US
dc.subjectWavelet decompositionen_US
dc.subjectLandscape metricsen_US
dc.subjectScaling effectsen_US
dc.titleGreenspace Pattern and the Surface Urban Heat Island: A Biophysically-Based Approach to Investigating the Effects of Urban Landscape Configurationen_US
kusw.kuauthorWesley, Elizabeth Jane
kusw.kuauthorBrunsell, Nathaniel A.
kusw.kudepartmentGeography & Atmospheric Scienceen_US
kusw.oanotesPer Sherpa Romeo 02/09/2021:

Remote Sensing [Open panel below]Publication Information TitleRemote Sensing [English] ISSNsElectronic: 2072-4292 URL PublishersMDPI [Commercial Publisher] DOAJ Listing Requires APCYes [Data provided by DOAJ] [Open panel below]Publisher Policy Open Access pathways permitted by this journal's policy are listed below by article version. Click on a pathway for a more detailed view.

Published Version NoneCC BY Any Repository, Journal Website OA PublishingThis pathway includes Open Access publishing EmbargoNo Embargo LicenceCC BY 4.0 Copyright OwnerAuthors Location Any Repository Journal Website ConditionsPublished source must be acknowledged NotesAuthors are encouraged to submit their published articles to institutional repositories
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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c 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Except where otherwise noted, this item's license is described as: c 2019 by the authors. Licensee MDPI, Basel, Switzerland.