Land Surface Temperature and Biophysical Factors in Urban Planning
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Land Surface Temperature and Biophysical Factors in Urban Planning

Authors: Illyani Ibrahim, Azizan Abu Samah, Rosmadi Fauzi

Abstract:

Land surface temperature (LST) is an important parameter to study in urban climate. The understanding of the influence of biophysical factors could improve the establishment of modeling urban thermal landscape. It is well established that climate hold a great influence on the urban landscape. However, it has been recognize that climate has a low priority in urban planning process, due to the complex nature of its influence. This study will focus on the relatively cloud free Landsat Thematic Mapper image of the study area, acquired on the 2nd March 2006. Correlation analyses were conducted to identify the relationship of LST to the biophysical factors; vegetation indices, impervious surface, and albedo to investigate the variation of LST. We suggest that the results can be considered by the stackholders during decision-making process to create a cooler and comfortable environment in the urban landscape for city dwellers.

Keywords: Biophysical factors, land surface temperature, urban planning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072936

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2090

References:


[1] Voogt, J. A. and T. R. Oke. "Thermal remote sensing of urban climates." Remote Sensing of Environment. 86: 370-384, 2003.
[2] Landsberg, H. E., "The Urban Climate" Academic Press Inc. 1981, 59 - 71.
[3] Xian, G. and Crane, M., "An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data." Remote Sensing of Environment. 104: 147-156, 2006.
[4] D. P. Rao, "Remote Sensing Application in Geomorphology" Tropical Ecology. 49-59, 2002.
[5] M. J. A. Butler, M. C. Mouchot, V. Barale, C. LeBlanc, "The application of remote sensing technology to marine fisheries: An introductory manual, FAO Fisheries Technical Paper 295, 1988.
[6] D. J. Peterson, R. Susan, B. Jennifer, D. Ronald, "Forest monitoring and remote sensing," White House Office of Science and Technology Policy, 1999.
[7] Ed. M. Bedrich, L. D. Authur, "Sustainability indicators: A Scientific assessment" The Scientific Committee on Problems of the Environment (SCOPE), Island Press, 2007.
[8] American Planning Association, "Policy Guide on Planning & Climate Change", 2011.
[9] Baden-Wurttemberg, "Climate Booklet for Urban Development". http://www.staedtebauliche-klimafibel.de/Climate_Booklet/index-1.htm
[10] School of Architecture, Chinese University of Hong Kong, "Urban climatic map and standards for wind environment - Feasibility Study", 2011.
[11] Jo, M. H., Lee, K. J., Jun, B. W., "The spatial topographic analysis of urban surface temperature using remotely sensed data and GIS", 22nd Asean Conference on Remote Sensing, 2001.
[12] Schwarz, N., A. Bauer, et al., "Assessing climate impacts of planning policiesÔÇöAn estimation for the urban region of Leipzig (Germany)", Environmental Impact Assessment Review. 2010.
[13] Coutts, A. M., Beringer, J. and Tapper, N. J., "Investigating the climatic impact of urban planning strategies through the use of regional climate modelling:a case study for Melbourne, Australia", International Journal of Climatology. 28: 1943-1957, 2008.
[14] Alcoforado, M. J., Andrade, H., Lopes, A. And Vasconcelos, J., "Application of climatic guidelines to urban planning : The example of Lisbon (Portugal)." Landscape and Urban Planning. 90: 56-65, 2009.
[15] Dobos, E., "Albedo" Encyclopedia of Soil Science, 2003.
[16] Federal Department of Town and Country Planning Peninsular Malaysia, "National Urbanization Policy". 2006.
[17] Statistical Department, Population Quick Info, http://www.statistics.gov.my/portal/index.php?lang=en, 2012.
[18] NASA, "Landsat 7 Science Data Users Handbook", http://landsathandbook.gsfc.nasa.gov/ref/, 2012.
[19] Sun, Q., Tan, J., Xu, Y., "An ERDAS image processing method for retrieving LST and describing urban heat evolution: a case study in the Pearl River Delta Region in South China." Environment Earth Science 59: 1047-1055, 2010.
[20] Carlson, T. N. and Ripley, D. A., "On the relation between NDVI, fractional vegetation cover, and leaf area index". Remote Sensing of Environment, 62, 241- 252, 1997.
[21] Sobrino, J. A., Raissouni, N., and Li, Z. L., "A comparative study of land surface emissivity retrieval from NOAA data". Remote Sensing of Environment, 75, 256- 266, 2001.
[22] Qin, Z., Karnieli, A., "A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region." International Journal of Remote Sensing 18: 3719-3746, 2001.
[23] Bauer, M.E., Heinert, N. J., Doyle, J. K. And Yuan, F., "Impervious surface mapping and change monitoring using satellite remote sensing". Proceedings, American Society of Photogrammetry and Remote Sensing Annual Conference. May 24-28, Denver, Colorado. 10, 2004.
[24] Liang, S., "Narrowband to broadband conversions of land surface albedo I Algorithm," Remote Sensing of Environment, 76, 213-238, 2000.
[25] Liu, Y., Xin, X. And Liu, Q., "MODIS and Landsat ETM+ scaling study on the daily evapotranspiration over heterogeneous landscape". IEEE Geoscience and Remote Sensing Society, 2009.
[26] Compaoré H. 2006. "The impact of savannah vegetation on the spatial and temporal variation of the actual evapotranspiration in the Volta Basin, Navrongo, Upper East Ghana". PhD Thesis. University of Bonn, Bonn, Germany.
[27] Taha, H. (1997). "Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat." Energy and Buildings 25: 99-103.
[28] Pomerantz, M., Pon, B., Akbari, H. & Chang, S. C. (2000). "The effects of pavements-temperatures on air temperatures in large cities" (Report No. LBNLÔÇÉ43442). Berkeley, CA: Lawrence Berkeley National Laboratory.