Journal of Emerging Trends in Engineering and Applied Sciences: Research Areas

Article Title: Air Temperature Estimation from Satellite Remote Sensing to Detect the Effect of Urbanization in Jakarta, Indonesia
by Hasti Widyasamratri, Kazuyoshi Souma, Tadashi Suetsugi, Hiroshi Ishidaira, Yutaka Ichikawa, Hiroshi Kobayashi, and Ichiko Inagaki

Abstract:
This study demonstrated the application of Landsat imaging for estimating land surface temperature (LST; Ts) and air temperature (Ta) in Jakarta, Indonesia, using the observed relationship between Ts and Ta. The use of satellite remote-sensing data can help overcome the spatial problem of estimating Ta, particularly in areas with low station density, using satellite-based Ts estimation and ground-based relationships between Ts and Ta. Ts values were obtained from Landsat images taken in 1989 and 2006. The Landsat images were compared with ground-based measurements obtained in 2012. The results showed a strong correlation between Landsat Ts and ground-based Ts measurements (R2 = 0.79) which indicated the reliability of this approach to represent actual Ts values. To understand the relationship between Ta and Ts using satellite imagery in both years, a statistical approach was applied. The range of the determination coefficient (R2) between Ta and Ts in ground-based measurements was R2 = 0.77 in Landsat. This result demonstrating the usefulness of Ts as an indicator of Ta estimation in Jakarta by using image satellite.

Keywords: air temperature; land surface temperature; satellite image; statistical approach; urban area

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