Land Surface Temperature Retrieval from LANDSAT-8 Ther-mal Infrared Sensor Data and Validation with Infrared Ther-mometer Camera

  • Authors

    • Muhammad Mejbel Salih
    • Oday Zakariya Jasim
    • Khalid I. Hassoon
    • Aysar Jameel Abdalkadhum
    2018-11-28
    https://doi.org/10.14419/ijet.v7i4.20.27418
  • land cover type, Land surface temperature (LST), LANDSAT-8 thermal bands, IR thermometer camera (thermocouple).

  • Abstract

    This paper illustrates a proposed method for the retrieval of land surface temperature (LST) from the two thermal bands of the LAND-SAT-8 data. LANDSAT-8, the latest satellite from Landsat series, launched on 11 February 2013, using LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data. LANDSAT-8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12 bits. In this search a trial has been made to estimate LST over Al-Hashimiya district, south of Babylon province, middle of Iraq. Two dates images acquired on 2nd &18th of March 2018 to retrieve LST and compare them with ground truth data from infrared thermometer camera (all the meas-urements contacted with target by using type-k thermocouple) at the same time of images capture. The results showed that the rivers had a higher LST which is different to the other land cover types, of less than 3.47 C â—¦, and the LST different for vegetation and residential area were less than 0.4 C â—¦ with correlation coefficient of the two bands 10 and 11 Rbnad10= 0.70, Rband11 = 0.89 respectively, for the im-aged acquired on the 2nd of march 2018 and Rband10= 0.70 and Rband11 = 0.72 on the 18th of march 2018. These results confirm that the proposed approach is effective for the retrieval of LST from the LANDSAT-8 Thermal bands, and the IR thermometer camera data which is an effective way to validate and improve the performance of LST retrieval. Generally the results show that the closer measure-ment taken from the scene center time, a better quality to classify the land cover. The purpose of this study is to assess the use of LAND-SAT-8 data to specify temperature differences in land cover and compare the relationship between land surface temperature and land cover types.

  • References

    1. [1] Lu D, Weng Q.,†Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and bio-physical descriptors in Indianapolisâ€, Remote Sensing of Environ-ment, Vol.104, No.2, (2006), pp.157-167.
      [2] Weng Q, Lu D.,†A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolisâ€, International Journal of Applied Earth Observation and Geoinformation,Vol.10, No.1, (2008), pp.68-83.
      [3] Patel N, Parida B, Venus V, Saha S, Dadhwal ,†Analysis of agri-cultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite dataâ€, Environmental Monitor-ing and Assessment, Vol.184, NO.12, (2012), pp. 7153–7163.
      [4] Krishna A P, Sharma A. s.l.,†Snow cover and land surface temper-ature assessment of Gangotri basin in the Indian Himalayan Region (IHR) using MODIS satellite data for climate change inferencesâ€, International Society for Optics and Photonics, SPIE Remote Sens-ing, (2013), pp. 889314-889319.
      [5] Karnieli, A., et al.,†Use of NDVI and Land Surface Temperature for Drought Assessmentâ€, American Meteorological Society, Vol. 23, (2010), pp. 618-633.
      [6] Kustas, W. and Anderson, M.,†Advances in Thermal Infrared Re-mote Sensing for Land Surface Modeling. Kustasâ€, Agricultural and Forest Meteorology, Vol.149, No.12, (2009), pp. 2071-2081.
      [7] Agam, N., et al.,†Utility of Thermal Image Sharpening for Moni-toring Field-Scale Evapotranspiration Over Rainfed and Irrigated Agricultural Regionsâ€, Geophysical Research Letters, Vol.35, No.2, (2008), pp. L02402.
      [8] C. Ottlé and D. Vidal-Madjar,†Estimation of land surface tempera-ture with NOAA9 data “, Remote Sensing of Environment, Vol.40, No.1, (21992), pp.27-41.
      [9] L. M. Mcmillin,†Estimation of sea surface temperatures from two infrared window measurements with different absorptionâ€, J. Ge-ophys.Res., Vol.80, No.36, (1975), pp. 5113-5117.
      [10] Li, F. Becker and Z.-L.,†Towards a local split window method over land surfacesâ€, International Journal of Remote Sensing, VOL.11, NO.3, (1990), pp.369-393.
      [11] Z. Wan and J. Dozier,†A generalized split-window algorithm for retrieving land-surface temperature from spaceâ€, IEEE Transac-tions on Geoscience and Remote Sensing, Vol.34, No.4, (1996), pp. 892 – 905.
      [12] Z. Qin, G. Dall'Olmo, A. Karnieli, and P. Berliner,†Derivation of split window algorithm and its sensitivity analysis for retrieving land surface temperature from NOAA-advanced very high resolu-tion radiometer dataâ€, J. Geophys.Res. Atmospheres, Vol.106, NO.D19, (2001), pp. 22655-22670.
      [13] Li, G.-M. Jiang and Z.-L,†Split-window algorithm for land surface temperature estimation from MSG1-SEVIRI dataâ€, International Journal of Remote Sensing, Vol.29, No.20, (2008), pp. 6067-6074.
      [14] G.-M. Jiang, W. Zhou, and R. Liu.,†Development of split-window algorithm for land surface temperature estimation from the VIRR/FY-3A measurementsâ€, IEEE Geoscience and Remote Sens-ing Letters, Vol.10, No.4, (2013), pp. 952-956.
      [15] G.-M. Jiang and R. Liu,†Retrieval of sea and land surface tempera-ture from SVISSR/FY-2C/D/E measurementsâ€, IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.10, (2014), pp. 6132 - 6140.
      [16] Sobrino, G. Sòria and J. A.,†ENVISAT/AATSR derived land sur-face temperature over a heterogeneous regionâ€, Remote Sensing of Environment, Vol.111, (2007), pp. 409-422.
      [17] Rozenstein, Zhihao Qin, Yevgeny Derimian and Arnon Karnieli,†Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithmâ€, Sensors Open Access Journal, Vol.14, No.4, (2014), pp. 5768-5780.
      [18] Internet-Website, (https://landsat.usgs.gov).
      [19] Shanshan LI and Geng-Ming Jiang,†Land Surface Temperature Retrieval from Landsat-8 Data with the Generalized Split-Window Algorithmâ€, IEEE Access, Vol.6, (2018), pp. 18149 – 18162.
      [20] IR Video Thermometer User Manual Model DT-9862.
      [21] Walawender, J. p., Szymanowski, M., Hajto, M. J., Bokwa A.,†Land syrface temperature patterns in the urban agglomeration of Krakow (Poland) mderived from Landsat-7/ETM+ dataâ€, Pure and Applied Geophysics, Vol.171, NO.6, (2014), pp. 913–940.
      [22] Jose A. Sobrino, Juan C. Jimenez-Munoz, Guillem Sòria, Mireia Romaguera, Luis Guanter, Antonio Plaza, & Pablo Martínez,†Land Surface Emissivity Retrieval from Different VNIR and TIR Sen-sorsâ€, IEEE Transactions on Geoscience and Remote Sensing, Vol.64, (2008), pp. 316 – 327.
      [23] M. Stathopoulou, & C. Cartalis,†Daytime urban heat islands from Landsat ETM+ and Corine land cover data: An application to major cities in Greece†, Solar Energy, Vol.81, No.3, (2007), pp. 358-368.

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  • How to Cite

    Mejbel Salih, M., Zakariya Jasim, O., I. Hassoon, K., & Jameel Abdalkadhum, A. (2018). Land Surface Temperature Retrieval from LANDSAT-8 Ther-mal Infrared Sensor Data and Validation with Infrared Ther-mometer Camera. International Journal of Engineering & Technology, 7(4.20), 601-606. https://doi.org/10.14419/ijet.v7i4.20.27418

    Received date: 2019-02-13

    Accepted date: 2019-02-13

    Published date: 2018-11-28