Abstract
Due to urbanization, urban areas are shrinking green spaces and increasing concrete, asphalt pavement. So urban climates are different from non-urban areas. In addition, long-term macroscopic studies of urban climate change are becoming more important as global urbanization affects global warming. To do this, it is necessary to analyze the effect of urbanization on the temporal change in urban temperature with the same temperature data and standards for urban areas around the world. In this study, time series analysis was performed with the maximum, minimum, mean and standard values of surface temperature during the from 1980 to 2010 and analyzed the effect of urbanization through linear regression analysis with variables (population, night light, NDVI, urban area). As a result, the minimum value of the surface temperature of the urban area reflects an increase by a rate of 0.28K decade-1 over the past 31 years, the maximum value reflects an increase by a rate of 0.372K decade-1, the mean value reflects an increase by a rate of 0.208 decade-1, and the standard deviation reflects a decrease by rate of 0.023K decade-1. And the change of surface temperature in urban areas is affected by urbanization related to land cover such as decrease of greenery and increase of pavement area, but socioeconomic variables are less influential than NDVI in this study. This study are expected to provide an approach to future research and policy-planning for urban temperature change and urbanization impacts.
Original language | English |
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Pages (from-to) | 757-763 |
Number of pages | 7 |
Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Volume | 42 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2018 Apr 30 |
Event | 2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing - Beijing, China Duration: 2018 May 7 → 2018 May 10 |
Bibliographical note
Funding Information:This study was carried out with the support of Korea Meteorological Administration as part of Research & Development Program with a See-At (See+Atmosphere) grant (KMIPA 2015-6140).
Publisher Copyright:
© Authors 2018.
Keywords
- Climate change
- GLDAS-2
- Global Warming
- MODIS
- Surface temperature
- Urbanization
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development