Land Surface Temperature and Biophysical Factors in Urban Planning
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.
[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.
[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.
@article{"International Journal of Architectural, Civil and Construction Sciences:58593", author = "Illyani Ibrahim and Azizan Abu Samah and Rosmadi Fauzi", title = "Land Surface Temperature and Biophysical Factors in Urban Planning", 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.", volume = "6", number = "8", pages = "645-6", }
