Land Characterization Analysis of Surface Temperature of Semi-Arid Mountainous City Abha, Saudi Arabia Using Remote Sensing and GIS

Javed Mallick

Assistant Professor, Department of Civil Engineering, Faculty of Engineering, King Khalid University, Abha, KSA.

DOI: 10.4236/jgis.2014.66055                

Abstract

This knowledge of land surface temperature and its spatial variations within a city environment is of prime importance to the study of urban climate and human-environment interactions. Few studies have examined the influence of land use and terrain on the surface temperature effects of semi-arid mountainous urban areas. This study investigates the urban environment characterization and its effects on surface temperature using remote sensing. The methodologies adapted for this study are geometric and radiometric corrections of satellite data, extraction of land use/land cover and digital elevation model, estimation of vegetation density using Normalized Difference Vegetation Index (NDVI), and estimation of surface temperature and emissivity using temperature emissivity separation (TES) algorithm. Finally geospatial model and statistical techniques are used for assessing the overall impact of urban environmental characterization on urban climate of semi-arid region of Abha, Kingdom of Saudi Arabia. Herein, results reveal that the spatial distribution of surface temperature was affected by land use/land cover (LULC) and topography. The high dense built-up and commercial/industrial areas display higher surface temperature in comparison with surrounding lands. There is gradual decrease of LULC classes’ surface temperature with the increase in altitude. The cooling effect towards the surrounding urban built-up area is found increasing at the hill located vegetated area, the downward slope and valley terrain inside the recreational park. Therefore the spatial variation in surface temperature also reflected the effects of topography on LULC classes. Suitable mountainous land use utilization would help to expand the cooling effect. In the future, the outcomes of this study could be used to build environmentally sustainable urban planning suitable to semi-arid regions and to create practices that consider the local weather environment in urban planning.

Keywords

Land Surface Temperature, Land Use/Land Cover, Normalized Difference Vegetation Index, Mountainous Semi-Arid City GIS

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Mallick, J., Kant, Y. and Bharath, B.D. (2008) Estimation of Land Surface Temperature over Delhi Using LANDSAT ETM+. Journal of Indian Geophysical Union, 12, 131-140.
[2]	Quattrochi, D.A. and Luvall, J.C. (1999) Thermal Infrared Remote Sensing for Analysis of Landscape Ecological Processes: Methods and Applications. Landscape Ecology, 14, 577-598.
[3]	Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. (2004) Remote Sensing and Image Interpretation. 5th Edition, John Wiley & Sons Inc., New York.
[4]	Carlson, T.N., Dodd, J.K., Benjamin, S.G. and Cooper, J.N. (1981) Satellite Estimation of the Surface-Energy Balance, Moisture Availability and Thermal Inertia. Journal of Applied Meteorology, 20, 67-87. http://dx.doi.org/10.1175/1520-0450(1981)020<0067:SEOTSE>2.0.CO;2
[5]	Balling, R.C. and Brazel, S.W. (1988) High-Resolution Surface Temperature Patterns in a Complex Urban Terrain. Photogrammetric Engineering and Remote Sensing, 54, 1289-1293.
[6]	Dousset, B. (1989) AVHRR-Derived Cloudiness and Surface Temperature Patterns over the Los Angeles Area and Their Relationships to Land-Use. Proceedings of IGARSS-89, Vancouver, 13 July 1989, 2132-2137.
[7]	Dousset, B. (1991) Surface Temperature Statistics over Los Angeles: The Influence of Land Use. Proceedings of IGARSS-91, Espoo, 3-6 June 1991, 367-371.
[8]	Roth, M., Oke, T.R. and Emery, W.J. (1989) Satellite-Derived Urban Heat Islands from Three Coastal Cities and the Utilization of Such Data in Urban Climatology. International Journal of Remote Sensing, 10, 1699-1720. http://dx.doi.org/10.1080/01431168908904002
[9]	Quattrochi, D.A. and Ridd, M.K. (1994) Measurement and Analysis of Thermal Energy Responses from Discrete Urban Surfaces Using Remote Sensing Data. International Journal of Remote Sensing, 15, 1991-2022. http://dx.doi.org/10.1080/01431169408954224
[10]	Owen, T.W., Carlson, T.N. and Gillies, R.R. (1998) An Assessment of Satellite Remotely Sensed Land Cover Parameters in Quantitatively Describing the Climatic Effect of Urbanization. International Journal of Remote Sensing, 19, 1663-1681. http://dx.doi.org/10.1080/014311698215171
[11]	Voogt, J.A. and Oke, T.R. (1998) Effects of Urban Surface Geometry on Remotely-Sensed Surface Temperature. International Journal of Remote Sensing, 19, 895-920. http://dx.doi.org/10.1080/014311698215784
[12]	Weng, Q. and Quattrochi, D.A. (2006) Thermal Remote Sensing of Urban Areas: An Introduction to the Special Issue. Editorial, Remote Sensing and Environment, 104, 119-112.
[13]	Mallick, J., Singh, C.K., Shashtri, S., Rahman, A. and Mukherjee, S. (2012) Land Surface Emissivity Retrieval Based on Moisture Index from LANDSAT TM Satellite Data over Heterogeneous Surfaces of Delhi City. International Journal of Applied Earth Observation and Geoinformation, 19, 348-358. http://dx.doi.org/10.1016/j.jag.2012.06.002
[14]	Weng, Q.H., Lu, D.S. and Schubring, J. (2004) Estimation of Land Surface Temperature Vegetation Abundance Relationship for Urban Heat Island Studies. Remote Sensing of Environment, 89, 467-483. http://dx.doi.org/10.1016/j.rse.2003.11.005
[15]	Geiger, R., Aron, R.H. and Todhunter, P. (2003) The Climate near the Ground. 6th Edition, Rowman and Littlefield Publishers, Lanham.
[16]	Lookingbill, T.R. and Urban, D.L. (2003) Spatial Estimation of Air Temperature Differences for Landscape-Scale Studies in Montane Environments. Agricultural and Forest Meteorology, 114, 141-151.
[17]	Kang, S., Lee, D. and Kimball, J.S. (2004) The Effects of Spatial Aggregation of Complex Topography on Hydroecological Process Simulations within a Rugged Forest Landscape: Development and Application of a Satellite-Based Topoclimatic Model. Canadian Journal of Forest Research, 34, 519-530.
[18]	Hais, M. and Kucera, T. (2009) The Influence of Topography on the Forest Surface Temperature Retrieved from Landsat TM, ETM C and ASTER Thermal Channels. ISPRS Journal of Photogrammetry and Remote Sensing, 64, 585-591.
[19]	Bailey, R.G. (1996) Ecosystem Geography. Springer, New York. http://dx.doi.org/10.1007/978-1-4612-2358-0
[20]	McCune, B. (2007) Improved Estimates of Incident Radiation and Heat Load Using Non-Parametric Regression against Topographic Variables. Journal of Vegetation Science, 18, 751-754.
[21]	Pierce, K.B., Lookingbill, T. and Urban, D. (2005) A Simple Method for Estimating Potential Relative Radiation (PRR) for Landscape-Scale Vegetation Analysis. Landscape Ecology, 20, 137-147.
[22]	Mallick, J., Alashker, Y., Mohammad, S.A.D., Ahmed, M. and Hasan, M.A. (2013) Risk Assessment of Soil Erosion in Semi-Arid Mountainous Watershed in Saudi Arabia by RUSLE Model Coupled with Remote Sensing and GIS. Geocarto International, 29, 915-940. http://dx.doi.org/10.1080/10106049.2013.868044
[23]	Mallick, J., Rahman, A. and Singh, C.K. (2013) Modeling Urban Heat Islands in Heterogeneous Land Surface and Its Correlation with Impervious Surface Area by Using Night-Time ASTER Satellite Data in Highly Urbanizing City, Delhi-India. Advances in Space Research, 52, 639-655.
[24]	Short, N.M. (2010) The Remote Sensing Tutorial, Goddard Space Flight Center (GSCF), NASA. http://rst.gsfc.nasa.gov/Front/overview.html
[25]	Mallick, J., Al-Wadi, H., Rahman, A. and Ahmed, M. (2014) Landscape Dynamic Characteristics Using Satellite Data for a Mountainous Watershed of Abha, Kingdom of Saudi Arabia. Environmental Earth Sciences, 72, 4973-4984. http://dx.doi.org/10.1007/s12665-014-3408-1
[26]	Abulfatih, H.A. (1984) Wild Plants from Abha and the Surrounding Areas. Saudia Publishing and Distributing House, Jeddah, 125 p.
[27]	Anderson, J.R., et al. (1976) A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper No. 964, U.S. Government Printing Office, Washington DC, 28.
[28]	Hutchinson, M.F. and Dowling, T.I. (1991) A Continental Hydrological Assessment of a New Grid-Based Digital Elevation Model of Australia. Hydrological Processes, 5, 45-58. http://dx.doi.org/10.1002/hyp.3360050105
[29]	Gillespie, A., Rokugawa, S., Matsunaga, T., Cothern, J.S., Hook, S. and Kahle, A.B. (1998) A Temperature and Emissivity Separation Algorithm for Advanced Space Borne Thermal Emission and Reflection Radiometer (ASTER) Images. IEEE Transactions on Geosciences and Remote Sensing, 36, 1113-1126.