File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: MODIS detected surface urban heat islands and sinks: Global locations and controls

TitleMODIS detected surface urban heat islands and sinks: Global locations and controls
Authors
KeywordsUrbanization
Heat sink
MODIS
EVI
Heat island
Issue Date2013
Citation
Remote Sensing of Environment, 2013, v. 134, p. 294-304 How to Cite?
AbstractUrbanization is a global problem with emergent properties. The difference in temperature between urban and rural surfaces is one such property that affects health, energy consumption budgets, regional planning and climate. We used remotely sensed datasets and gridded population to estimate the magnitude of thermal differentials (urban heat islands and/or sinks), the timing of heat differential events, and the controlling variables. The global scope of the study provides a consistent analytical environment that enables identification of the key factors that contribute to deleterious heat differentials. We propose new indices of thermal differential and use them to show particular prevalence of heat islands and sinks in arid regions. A variable ranking analysis indicates that development intensity, vegetation amount and the size of the urban metropolis are the most important urban variables to predict heat differentials. Population was of lesser importance in this study. Urban structure indices were also ranked lower, though a different measurement scale qualifies this conclusion. The results support the paradigm of compact development and incorporation of vegetation to the urban infrastructure. © 2013 Published by Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/296718
ISSN
2021 Impact Factor: 13.850
2020 SCImago Journal Rankings: 3.611
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorClinton, Nicholas-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:31Z-
dc.date.available2021-02-25T15:16:31Z-
dc.date.issued2013-
dc.identifier.citationRemote Sensing of Environment, 2013, v. 134, p. 294-304-
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10722/296718-
dc.description.abstractUrbanization is a global problem with emergent properties. The difference in temperature between urban and rural surfaces is one such property that affects health, energy consumption budgets, regional planning and climate. We used remotely sensed datasets and gridded population to estimate the magnitude of thermal differentials (urban heat islands and/or sinks), the timing of heat differential events, and the controlling variables. The global scope of the study provides a consistent analytical environment that enables identification of the key factors that contribute to deleterious heat differentials. We propose new indices of thermal differential and use them to show particular prevalence of heat islands and sinks in arid regions. A variable ranking analysis indicates that development intensity, vegetation amount and the size of the urban metropolis are the most important urban variables to predict heat differentials. Population was of lesser importance in this study. Urban structure indices were also ranked lower, though a different measurement scale qualifies this conclusion. The results support the paradigm of compact development and incorporation of vegetation to the urban infrastructure. © 2013 Published by Elsevier Inc.-
dc.languageeng-
dc.relation.ispartofRemote Sensing of Environment-
dc.subjectUrbanization-
dc.subjectHeat sink-
dc.subjectMODIS-
dc.subjectEVI-
dc.subjectHeat island-
dc.titleMODIS detected surface urban heat islands and sinks: Global locations and controls-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rse.2013.03.008-
dc.identifier.scopuseid_2-s2.0-84876312138-
dc.identifier.volume134-
dc.identifier.spage294-
dc.identifier.epage304-
dc.identifier.isiWOS:000319233200022-
dc.identifier.issnl0034-4257-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats