Urban Temperature Profiles and Land Cover Detection in the Jakarta Metropolitan Area using Remote Sensing

https://doi.org/10.22146/ijg.45934

Hasti Widyasamratri(1*), Kazuyoshi Souma(2), Tadashi Suetsugi(3)

(1) Departement of Urban and Regional Planning, Sultan Agung Islamic University, Semarang, Indonesia
(2) University of Yamanashi, Japan
(3) University of Yamanashi, Japan
(*) Corresponding Author

Abstract


This research aim to investigate the urban thermal environment profile and land cover classification  in the Jakarta Metropolitan Area (JMA) in 1989 and 2013. Thermal environment conducted by installing fix point ground measurement of air temperature and land surface temperature. The land cover classification was carried out  by using Landsat TM 5 and Landsat 7 ETM+ data sets. The diurnal variation of air temperature shows that Urban Heat Island (UHI) was occurring in urban and suburban JMA, which can be seen the slower cooling period in the urban area than suburban areas. Positive correlation between air temperature (Ta) and land surface temperature (Ts) on the brush (r2 = 0.78) and the asphalt surface (r2= 0.88) is clearly shown during the study. The rapid urbanization was detected during 1989 to 2013 where the urban sprawl is spread over to the whole area of JMA. Urban built up is the dominant of high increase due to years, while vegetation is decreasing.    

Keywords


urban thermal environment;urbanization;urban heat island;land cover

Full Text:

PDF


References

Ali, S. B., Patnaik, S., & Madguni, O. (2017). Microclimate land surface temperatures across urban land use/ land cover forms. Global J. Environ. Sci. Manage, 3(3), 231–242. https://doi.org/10.22034/gjesm.2017.03.03.001

Debbage, N., & Shepherd, J. M. (2015). The urban heat island effect and city contiguity. Computers, Environment and Urban Systems, 54, 181–194. https://doi.org/10.1016/j.compenvurbsys.2015.08.002

Edwin, E., Saidi, A., Aprisal, A., Yulnafatmawita, Y., & Carolita, I. (2015). Spatial and Temporal Analysis of Land Use Change for 11 years (2004-2014) in Sub-Watershed Sumpur Singkarak. International Journal on Advanced Science, Engineering and Information Technology, 5(5), 326–329. Retrieved from http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=563

Hathway, E. A., & Sharples, S. (2012). The interaction of rivers and urban form in mitigating the Urban Heat Island effect : A UK case study. Building and Environment, 58, 14–22. https://doi.org/10.1016/j.buildenv.2012.06.013

Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005

Hua, A. K., & Ping, O. W. (2018). The influence of land-use/land-cover changes on land surface temperature: a case study of Kuala Lumpur metropolitan city. European Journal of Remote Sensing, 51(1), 1049–1069. https://doi.org/10.1080/22797254.2018.1542976

Luo, D., Jin, H., Marchenko, S. S., & Romanovsky, V. E. (2018). Geoderma Di ff erence between near-surface air , land surface and ground surface temperatures and their in fl uences on the frozen ground on the Qinghai-Tibet Plateau. Geoderma, 312(September 2017), 74–85. https://doi.org/10.1016/j.geoderma.2017.09.037

Nastran, M., Kobal, M., & Eler, K. (2018). Urban heat islands in relation to green land use in European cities. Urban Forestry and Urban Greening, (December 2017), 1–9. https://doi.org/10.1016/j.ufug.2018.01.008

Nastran, M., Kobal, M., & Eler, K. (2019). Urban heat islands in relation to green land use in European cities. Urban Forestry and Urban Greening, 37(January 2018), 33–41. https://doi.org/10.1016/j.ufug.2018.01.008

Oke, R. T.; Mills, G.; Christen, A.; Voogt, A. J. (2017). Urban Climates (1st ed.). University of Cambridge: Cambridge University Press. https://doi.org/10.1017/9781139016476

Rawat, J. S., & Kumar, M. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. Egyptian Journal of Remote Sensing and Space Science, 18(1), 77–84. https://doi.org/10.1016/j.ejrs.2015.02.002

Rosnow, R. L.; Rosenthal, R. and Rubin, D.B. (2000). Contrasts and Correlations in Effect-size Estimation Contrast and Effect - Size Estimation. Psychological Science, 11(6), 446–453. https://doi.org/1467-9280.00287

Springs, C., Collins, F., Chase, C., & Springs, C. (2011). Evaluation of the Relationship between Air and Land Surface Temperature under Clear and Cloudy Sky Conditions. Journal of Applied Meteorology and Climatology, 50, 767–775. https://doi.org/10.1175/2010JAMC2460.1

United Nation, Department of Economic and Social Affairs, P. D. (2014). World Urbanization Prospects : The 2014 Revision, Highlights (ST/ESA/SER. A/352). United Nation.

Van, T. T., Duong, H., & Bao, X. (2015). Characteristics of Urban Thermal Environment from Satellite Remote Sensing Data in Ho Chi Minh City , Vietnam. Conference Proceedings Paper – Remote Sensing Characteristics, 1–7.

Weng, Q. (2012). Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sensing of Environment, 117, 34–49. https://doi.org/10.1016/j.rse.2011.02.030

Windusari, Y., Hanum, L., & Lestari, M. S. (2017). Analysis and Identification of Landuse on the Coastal Environment of South Sumatra using GIS. International Journal on Advance Science Engineering Information Technology, 7(3), 785–791.

World Bank. (2015). East Asia's Changing Urban Landscape: Measuring a Decade of Spatial Growth. Urban Development Series. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-0363-5.

Yin, C., Yuan, M., Lu, Y., Huang, Y., & Liu, Y. (2018). Effects of urban form on the urban heat island effect based on spatial regression model. Science of the Total Environment, 634, 696–704. https://doi.org/10.1016/j.scitotenv.2018.03.350



DOI: https://doi.org/10.22146/ijg.45934

Article Metrics

Abstract views : 3229 | views : 2650

Refbacks





Copyright (c) 2019 hasti widyasamratri

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC