Skip to main content

page search

Library Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

Resource information

Date of publication
December 2015
Resource Language
ISBN / Resource ID
AGRIS:US201500161573
Pages
209-222

The present study was aimed to investigate how and to what extent urban land surface temperature (ULST) is affected by spatial pattern of green cover patch in an urban ambient in Isfahan, Iran. To materialize the effects of spatial pattern of green cover on ULST, Landsat ETM + image data on May 5, 2002 was acquired to be processed for ULST estimation and to generate Land Use/Land Cover (LULC) classes. Given to five percent of total available cells with a randomized distribution across the built-up areas, the linkage between ULST and composition, configuration and structure of green cover class was quantified. Five patch level landscape metrics including nearest distance (ND), patch area (AREA), perimeter to area (PARA), shape index (SHAPE) and core area index (CAI) were chosen and applied as explaining variables in statistical analyses due to their potential effects on ULST. Results of the present study have revealed that all the landscape metrics values of the green cover class were significantly correlated to their nearest ULST sample points, amongst which a stronger linkage was observed between ND (r = 0.611, p

Share on RLBI navigator
NO

Authors and Publishers

Author(s), editor(s), contributor(s)

Asgarian, Ali
Amiri, Bahman Jabbarian
Sakieh, Yousef

Publisher(s)
Data Provider
Geographical focus