4.7 Article

Remote sensing of the surface urban heat island and land architecture in Phoenix, Arizona: Combined effects of land composition and configuration and cadastral-demographic-economic factors

期刊

REMOTE SENSING OF ENVIRONMENT
卷 174, 期 -, 页码 233-243

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2015.12.022

关键词

Land architecture; Surface urban heat island; Land surface temperature; Land cover; Spatial pattern

资金

  1. National Science Foundation [SES-0951366]
  2. NSF DMS Grant [1419593]
  3. USDA NIFA Grant [2015-67003-23508]
  4. Decision Center for a Desert City II: Urban Climate Adaptation
  5. Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) [BCS-1026865]
  6. Direct For Social, Behav & Economic Scie
  7. Divn Of Social and Economic Sciences [1462086] Funding Source: National Science Foundation
  8. Direct For Social, Behav & Economic Scie
  9. Divn Of Social and Economic Sciences [0951366] Funding Source: National Science Foundation
  10. Division Of Environmental Biology
  11. Direct For Biological Sciences [1026865] Funding Source: National Science Foundation
  12. Division Of Mathematical Sciences
  13. Direct For Mathematical & Physical Scien [1419593] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study seeks to determine the role of land architecture the composition and configuration of land cover as well as cadastral-demographic-economic factors on land surface temperature (LST) and the surface urban heat island effect of Phoenix, Arizona. It employs 1 m National Agricultural Imagery Program data of land-cover with 120 m Landsat-derived land surface temperature, decomposed to 30 m, a new measure of configuration, the normalized moment of inertia, and U.S. Census data to address the question for two randomly selected samples comprising 523 and 545 residential neighborhoods (census blocks) in the city. The results indicate that, contrary to most other studies, land configuration has a stronger influence on LST than land composition. In addition, both land configuration and architecture combined with cadastral, demographic, and economic variables, capture a significant amount of explained variance in LST. The results indicate that attention to land architecture in the development of or reshaping of neighborhoods may ameliorate the summer extremes in LST. (C) 2015 Elsevier Inc. All rights reserved.

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