Assessment of surface urban heat island effects and associated surface biophysical indicators using MODIS imagery

Yongnian Zeng; Hua Li; Bin Xue; Honghui Zhang

doi:10.1117/12.760708

26 July 2007 Assessment of surface urban heat island effects and associated surface biophysical indicators using MODIS imagery

Yongnian Zeng, Hua Li, Bin Xue, Honghui Zhang

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67521S (2007) https://doi.org/10.1117/12.760708
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

This study focuses on using remote sensing for assessment of surface urban heat island and associated surface physical characteristics and selects Changsha city as study area. The TERRA/MODIS images acquired in 2005 for three different seasons were selected to generate land surface temperature maps and surface characteristics. The result showed that UHI effects were significant both in summer and spring. Land surface temperatures were 8°C and 10°C warmer than surrounding rural areas in spring and summer seasons, respectively. Although it is still existed in winter, the UHI effects are not so much significant. Land surface temperature was 4°C warmer than surrounding rural areas in winter. This study uses normalized difference building index (INBI) as indicator of impervious surfaces and investigates the relationship between NDBI and LST. Our analysis indicates there is strong positive linear relationship between NDBI and LST for all seasons. The amount of slop and intercept of linear relationship can indicate the magnitude of UHI for different seasons. Therefore, NDBI provides alternative physical indicator for analyzing LST quantitatively over the seasons for UHI study using remote sensing in an urbanized environment.

Citation Download Citation

Yongnian Zeng, Hua Li, Bin Xue, and Honghui Zhang "Assessment of surface urban heat island effects and associated surface biophysical indicators using MODIS imagery", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521S (26 July 2007); https://doi.org/10.1117/12.760708

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available