Abstract
Recent studies have shown that evaluation of the changes in the Land Surface Temperature (LST) of any area can be a reflector of changes in urbanisation trend, industrial activities, population change and natural factors. Subsequently, many researches have evolved over time, especially with development in remote sensing, digital image processing and geographical information systems. This chapter is aimed at providing information on the relevance and challenges of remote sensing as a geospatial technology that is capable of being used for monitoring LST at different spatial and timescales. The case study analysis indicated that the results from the remote sensing processing of the imageries reflect significant influence of the spatial resolutions of selected imageries. The challenges of huge image data gaps, cloud cover, coarse spatial and temporal resolution, limited night-time data for evaluation of night-time urban heat island—for both technical and security reasons, influenced the reliability of the study results. The study recommended policies for improvement in the applications and utilisation of the geospatial technology in many developing countries, including Nigeria based on its strengths.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdulhamed AI, Nduka IC, Sawa BA, Usman AK (2012) An analysis of the Urban Canopy Heat Island (UCHI) of Kano. J Environ Earth Sci 5(13):166–169
Ackerman S, Strabala K, Menzel P, Frey R, Moeller C, Gumley L (1998) Discriminating clear sky from clouds with MODIS. J Geophys Res 103:141–157
Adebayo YR (1990) Aspects of the variation in some characteristics of radiation budget within the urban canopy of Ibadan. Atmos Environ Part B Urban Atmos 24(1):9–17
Aderoju OM, Samakinwa EK, Ibrahim D (2013) An assessment of Urban Heat Island in Akure using geospatial techniques. J Environ Sci Taxicol 6(3):24–34
Aires F, Prigent C, Rossow WB, Rothstein M (2001) A new neural network approach including first-guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature and emissivity over land from satellite microwave observations. J Geophys Res 106:14887–14907
Akinbode OM, Eludoyin AO, Fashae OA (2008) Temperature and relative humidity distributions in a medium-size administrative town in southwest Nigeria. J Environ Manage 87(1):95–105
Alsultan S, Lim HS, MatJafri MZ, Abdullah K (2005) An algorithm for land surface temperature analysis of remote sensing image coverage over AlQassim, Saudi Arabia. From Pharaohs to Geoinformatics FIG Working Week, 16–21
Atitar M, Sobrino JA, Soria G, Wigneron JP, Jiménez-Muñoz JC, Julien Y, Belen Ruescas A (2008) Land surface temperature retrieved from SEVIRI/MSG2 data: algoritm and validation. In: Proceedings of 2008 EUMETSAT meteorological Satellite conference, Darmstadt, Germany, 8–12 September 2008
Ayanlade A, Jegede OO (2015) Evaluation of the intensity of the daytime surface urban heat island: how can remote sensing help? Int J Image Data Fusion 6(4):348–365
Balogun IA, Balogun AA (2014) Urban heat island and bioclimatological conditions in a hot-humid tropical city: the example of Akure, Nigeria. DIE ERDE J Geogr Soc Berlin 145(1–2):3–15
Balogun IA, Balogun AA, Adeyewa ZD (2012) Observed urban heat island characteristics in Akure, Nigeria. Afr J Env Sci Technol 6(1):1–8
Bastiaanssen WG, Molden DJ, Makin IW (2000) Remote sensing for irrigated agriculture: examples from research and possible applications. Agric Water Manag 46(2):137–155
Carver MB, Kiteley JC, Zhou RN, Junop SV, Rowe DS (1995) Validation of the ASSERT subchannel code: prediction of critical heat flux in standard and nonstandard CANDU bundle geometries. Nucl Technol 112(3):299–314
Clark J, Parsons A, Zajkowski T, Lannom K (2003) Remote sensing imagery support for burned area emergency response teams on 2003 southern California wildfires. USFS Remote Sens Appl Cent BAER Support Summ
Clevers JGPW (1997) A simplified approach for yield prediction of sugar beet based on optical remote sensing data. Remote Sens Environ 61(2):221–228
Efe SI, Eyefia AO (2014) Urban effects on the precipitation of Benin, Nigeria. Am J Clim Change 2014
Enete IC, Alabi MO (2012) Characteristics of urban heat island in Enugu during rainy season. Ethiop J Environ Stud Manage 5(4):391–396
Enete IC, Okwu VU (2013) Mapping Enugu City’s urban heat island. Int J Environ Prot Policy 1,(4): 50-58.
Foody GM, Curran PJ (1994) Estimation of tropical forest extent and regenerative stage using remotely sensed data. J Biogeogr, 223–244
Hoyt H (1933) One hundred years of land values in Chicago: the relationship of the growth of Chicago and the rise in its land values, 1830–1933. University of Chicago Press
Hurtado E, Vidal A, Caselles V (1996) Comparison of two atmospheric correction methods for landsat TM thermal band. Int J Remote Sens 17(2):237–247
Ifatimehin OO, Adeyemi S (2008) A satellite remote sensing based land surface temperature retreival from Landsat TM data. Ethiop J Environ Stud Manage 1(3):63–70
Ifatimehin OO, Ishaya S, Fanan U (2010) An analysis of temperature variations using remote sensing approach in Lokoja Area. Niger Prod Agric Technol. ISSN: 0794-5213
Jin M, Dickinson RE (1996) Correcting the orbit drift effect on AVHRR land surface skin temperature measurements. Int J Remote Sens 24:4543–4558
Lillesand TM, Kiefer RW, Chipman JW (2004) Remote sensing and image interpretation. Wiley, New York
Liu Y, Hiyama T, Yamaguchi Y (2006) Scaling of land surface temperature using satellite data: a case examination on ASTER and MODIS products over a heterogeneous terrain area. Remote Sens Environ 105(2):115–128
Luvall JC, Lieberman D, Lieberman M, Hartshon GS, Peralta R (1990) Estimation of tropical forest canopy temperatures, thermal response numbers, and evapotranspiration using an aircraft-based thermal sensor. Photogram Eng Remote Sens 56(10):1393–1401
Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J Ind Geophys Union 12(3):131–140
Matsui S, Igaku Y, Ishigaki H, Fujita J, Ishida M, Ochiai Y, Namatsu H, Komuro M (2003) Room-temperature nanoimprint and nanotransfer printing using hydrogen silsequioxane. J Vacuum Sci Technol B: Microelectron Nanometer Struct Proc Meas Phenom 21(2):688–692
Mausel P, Wu Y, Li Y, Moran EF, Brondizio ES (1993) Spectral identification of successional stages following deforestation in the Amazon. Geocarto Int 8(4):61–71
NASA (2013) https://www.nasa.gov/content/year-in-review-2013-feature. Accessed 14 Dec 2016
National Population Commission (2006) The nigeria population census 2006. Accessed on 23 Feb 2011
Nwofor OK, Dike VN (2010) Day-time surface air temperature variations at locations in Owerri Capital City; Indications of Urban Heat Island Build-up? Adv Sci Technol 4(2):91–97
Odunuga S, Badru G (2015) Landcover change, land surface temperature, surface albedo and topography in the Plateau Region of North-Central Nigeria. Land 4(2):300–324
Oke TR (1987) Boundary layer climates. Routledge, London. First published in 1978 by Methuen & Co. Ltd. Second edition 1987 Routledge is an imprint of the Taylor & Francis Group. This edition published in the Taylor & Francis e-Library, 2009, pp 435
Oluwamimo S (2006) The temporal structure of the Urban Heat Island in Lagos State, Nigeria. Eur Geosci Union, Geophys Res Abs 8
Omotoso I (2017) A remote sensing-based evaluation of the spatiotemporal variations in land surface temperatures, and their relationship with urban development in Eti-Osa, LGA, Lagos State. Unpublished M.Sc. research. Obafemi Awolowo University, Ile-Ife, Nigeria, 92p
Peña MA (2009) Examination of the land surface temperature response for Santiago, Chile. Photogram Eng Remote Sens 75(10):1191–1200
Pinheiro R, Mahoney JL, Privette T, Tucker CJ (2006) Development of a daily long-term record of NOAA-14 AVHRR land surface temperature over Africa. Remote Sens Environ 103:153–164
Popoola KS (2016) Assessment of urban heat island from remotely sensed and in situ data sources over Ile-Ife, Osun State. Environmental Control and Management. Unpublished M.Sc. research. Obafemi Awolowo University, Ile-Ife, Nigeria, 89p
Prata AJ, Caselles V, Coll C, Sobrino JA, Ottle C (1995) Thermal remote sensing of land surface temperature from satellites: Current status and future prospects. Remote Sens Rev 12(3–4):175–224
Rasmussen MO, Gottsche FM, Olesen FS, Sandholt I (2011) Directional effects on land surface temperature estimation from Meteosat Second Generation for savanna landscapes. IEEE Trans Geosci Remote Sens 49(11):4458–4468
Snyder WC (2000) Requirements for satellite land surface temperature validation using a Silt Playa. Remote Sens Environ 6:279–289
Sobrino JA, Coll C, Caselles V (2006) Atmospheric corrections for land surface temperature using AVHRR channel 4 and 5. Remote Sens Environ 38(1):19–34
Southworth J, Munroe D, Nagendra H (2004) Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region. Agr Ecosyst Environ 101(2):185–205
Streutker DR (2002) A remote sensing study of the urban heat island of Houston, Texas. Int J Remote Sens 23(13):2595–2608
Sun Y (2011) Retrieval and application of land surface temperature. Term Paper, pp 1–27. Retrieved on 15 Sept 2018 from http://www.geo.utexas.edu/courses/387H/PAPERS/Term%20paper-Sun.pdf
Sun D, Pinker RT (2003) Estimation of land surface temperature from a geostationary operational environmental satellite (GOES-8). J Geophys Res 108:4241–4326
Tran H, Uchihama D, Ochi S, Yasuoka Y (2006) Assessment with satellite data of the urban heat island effects in Asian mega cities. Int J Appl Earth Obs Geoinf 8:34–48
Tyubee BT, Anyadike RNC (2015, July) Investigating the effect of land use/land cover on Urban surface temperature in Makurdi, Nigeria. In: ICUC9–9th international conference on urban climate jointly with 12th symposium on the urban environment, pp 20–24
Usman IJ (2014) An evaluation of the influence of land-use/land-cover change on the surface temperature of federal capital city (Abuja) using remote sensing and GIS, Doctoral dissertation
van Leeuwen TT, Frank AJ, Jin Y, Smyth P, Goulden ML, van der Werf GR, Randerson JT (2011) Optimal use of land surface temperature data to detect changes in tropical forest cover. J Geophys Res: Biogeosci 116(G2)
Voogt JA, Oke TR (2003) Thermal remote sensing of urban areas. Remote Sens Environ (special issue on Urban Areas) 86:370–384
Walawender JP, Hajto MJ, Iwaniuk P (2012, July) A new ArcGIS toolset for automated mapping of land surface temperature with the use of LANDSAT satellite data. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE international, IEEE, pp 4371–4374
Wan Z, Dozier J (1996) A generalized split-window algorithm form retrieving land-surface temperature from space. IEEE Trans Geosci Remote Sens 34(4):892–905
Wang W, Liang S, Meyers T (2008) Validating MODIS land surface temperature products using long-term night-time ground measurements. Remote Sens Environ 112:623–635
Weng Q (2003) Land use change analysis in the Zhujiang delta of China using satellite remote sensing, GIS and stochastic modeling. J Environ Manage 64:273–284
Xiao H, Weng Q (2007) The impact of land use and land cover changes on land surface temperature in a karst area of China. J Environ Manage 85(1):245–257
Zhang X, Zhong T, Wang K, Cheng Z (2006) Scaling of impervious surface area and vegetation as indicators to urban land surface temperature using satellite data. Int J Remote Sens 30(4):841–859
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Eludoyin, A.O., Omotoso, I., Eludoyin, O.M., Popoola, K.S. (2019). Remote Sensing Technology for Evaluation of Variations in Land Surface Temperature, and Case Study Analysis from Southwest Nigeria. In: Koutsopoulos, K., de Miguel González, R., Donert, K. (eds) Geospatial Challenges in the 21st Century. Key Challenges in Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-04750-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-04750-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04749-8
Online ISBN: 978-3-030-04750-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)