Sains Malaysiana 41(7)(2012): 841–846

 

Application of a Simple Mono Window Land Surface Temperature Algorithm

from Landsat ETM+ Over Al Qassim, Saudi Arabia

(Aplikasi Algoritma Tetingkap Mono Suhu Permukaan Tanah Daripada Landsat

ETM+ bagi Al QAssim, Saudi Arabia)

 

H.S. Lim*, M. Z. Mat Jafri & K. Abdullah

School of Physics, Universiti Sains Malaysia, Minden 11800 Penang, Malaysia

 

Sultan Alsultan

Remote Sensing Center of Environment Consultant, ISPRS, commission 7 WGVII/7

Middle East Coordinator, Malaz, Al Nurii St., P.O. Box. 92038, Riaydh City 11653, Saudi Arabia

 

Diserahkan: 12 April 2011 / Diterima: 21 Februari 2012

 

ABSTRACT

This study was conducted to retrieve the land surface temperature (LST) from Landsat ETM+ data for Al Qassim, Saudi Arabia. The proposed technique employed a mono window LST algorithm for retrieving surface temperature from Landsat ETM+. The land surface emissivity and solar angle values were needed in order to apply these in the proposed algorithm. The surface emissivity values were computed based on the NDVI values. The LST values derived from ATCOR2_T in the PCI Geomatica image processing software was used for algorithm calibration. The results showed a high correlation coefficient (R) and low root-mean-square error (RMS) between the LST values retrieved from the proposed algorithm and ATCOR2_T. This study indicated that the proposed algorithm is capable of retrieving accurate LST values and the derived information can be used in the environmental impact assessment for Al Qassim area.

 

Keywords: Algorithm; ATCOR2_T; LST

ABSTRAK

Kajian ini dilakukan dengan mendapatkan suhu permukaan tanah (LST) daripada data Landsat ETM+ untuk Al Qassim, Arab Saudi. Teknik yang dicadangkan ini menggunakan algoritma tetingkap mono LST untuk mendapatkan suhu permukaan daripada Landsat ETM+. Nilai pancaran permukaan tanah dan nilai-nilai sudut suria diperlukan untuk melaksanakan dalam algoritma yang dicadangkan. Nilai pancaran permukaan tersebut dikira berdasarkan nilai NDVI. Nilai LST berasal daripada ATCOR2_T dalam perisian computer Geomatica PCI digunakan untuk kalibrasi algoritma. Hasilnya menunjukkan pekali korelasi yang tinggi (R) dan nilai sisihan punca min kuasa dua yang rendah (RMS) antara LST nilai dianggarkan daripada algoritma yang dicadangkan dan ATCOR2_T. Kajian ini menunjukkan bahawa algoritma yang dicadangkan mampu mendapatkan nilai LST dengan kejituan yang tingggi dan maklumat yang diperoleh boleh digunakan dalam penilaian kesan persekitaran untuk kawasan Al Qassim.

 

Kata kunci: Algorima; ATCOR2_T; LST

 

 

RUJUKAN

 

AlSultan, S., Lim, H.S. MatJafri, M.Z. & Abdullah, K. 2005a. An algorithm for land surface temperature analysis of remote sensing image coverage over AlQassim, Saudi Arabia, Proceeding of the FIG Working Week 2005 and 8th International Conference for Global Spatial Data Infrastructure (GSDI–8) – From Pharaohs to Geoinformatics, Intercontinental Semiramis, Cairo, TS 27.10 – Remote Sensing and Photogrammetry, Egypt.

AlSultan, S., Lim, H.S. MatJafri, M.Z. & Abdullah, K. 2005b. Land surface temperature estimation over Palestine and Mediterranean. Proceeding of the Remote Sensing Arabia–For The Betterment of People. 1st International Conference on Advanced Remote Sensing for Earth Observation; Systems, Techniques, and Applications (Proceeding in CD), Riyadh, Kingdom of Saudi Arabia.

AlSultan, S., Lim, H.S. MatJafri, M.Z. & Abdullah, K. 2008. Algorithm for Remote Sensing of Land Surface Temperature. Proceeding of the SPIE Europe Security + Defence. University of Wales Institute, Cardiff, Wales, United Kingdom. Vol. 7114, Electro-Optical Remote Sensing, Photonic Technologies and Applications II, edited by Gary W. Kamerman, Ove K. Steinvall, Keith L. Lewis, Thomas J. Merlet and Richard C. Hollins, 71140R, Digital Object Identifier: 10.1117/12.800150.

Chander, G., Markham. B.L. & Barsi, J.A. 2009a. Revised landsat-5 thematic mapper radiometric calibration. IEEE Geosci. Remote Sens. Lett. 4(3): 490–494.

Chander, G., Markham. B.L. & Helder, D.L. 2009b. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALIsensors. Remote Sens. Environ. 113: 893–903.

Cresswell, M.P., Morse, A.P., Thomson, M.C. & Connor. S.J. 1999. Estimating surface air temperature, form Meteosat land surface temperatures, using an empirical solar zenith angle model. Int. J. Remote Sensing 20(6): 1125-1132.

Cristobal, J., Jimenez-Munoz, J.C., Sobrino, J.A., Ninyerola, M. & Pons, X. 2009. Improvements in land surface temperature retrieval from the Landsat series thermal band using water  vapor and air temperature, J. Geophys. Res. 114: D08103, doi:10.1029/2008JD010616.

Lim, H.S., Mat Jafri, M.Z., Abdullah, K., Daraigan, S.G., Hashim, S.A. & Saleh, N.M. 2006. Land surface temperature estimation from Landsat TM thermal measurement over Penang, Proceeding of the Young Researcher Conference on Applied Sciences (CAS 2006), Subang: Malaysia,291 - 293.

Lim, H.S., MatJafri, M.Z., Abdullah, K., Saleh, N.M. & AlSultan, S. 2007. Application of Remote Sensing for Land surface temperature retrieval over Mecca, Proceeding of the SPIE Defense and Security Symposium 2007. Orlando World Center Marriott Resort and Convention Center, Orlando, Florida, USA, Volume 6541, Thermosense XXIX, edited by Kathryn M. Knettel, Vladimir P. Vavilov and Jonathan J. Miles. DOT: 10.1117/12.719062.

Jimenez-Munoz, J.C. & Sobrino J.A. 2008. Split-Window Coefficients for Land Surface Temperature Retrieval From Low-Resolution Thermal Infrared Sensors. IEEE Geoscience and Remote Sensing Letters 5(4): 806-809.

Jimenez-Munoz, J.C. & Sobrino, J.A. 2009. A Single-Channel Algorithm for Land-Surface Temperature Retrieval From ASTERData. IEEE Geoscience and Remote Sensing Letters 7(1): 176-179.

Jiménez-Muñoz, J.C., Cristóbal, J., Sobrino, J.A., Sòria, G., Ninyerola, M. & Pon, X. 2009. Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. IEEE Transactions on Geoscience and Remote Sensing 47(1): 339 – 349.

Mallick, Y., Kant, Y. & Bharath, B.D. 2008. Estimation of land surface temperature over Delhi using Landsat-7 ETM+. The Journal of Indian Geophysical Union 12(3): 131-140.

Sobrino, J.A., Caselles, V. & Becker, F. 1990. Significance of the remotely sensed thermal infrared measurements obtained over a citrus orchard. ISPRS Photogrammetric Engineering and Remote Sensing 44: 343– 354.

Sobrino, J.A., Jimenez-Munoz, J.C., El-Kharraz, J., Gomez, M., Romaguera. M. & Soria, G., 2004. Single-channel and two-channel methods for land surface temperature retrieval from DAIS data and its application to the Barrax site. International Journal of Remote Sensing 25(1): 215-230.

Tan, K.C., Lim, H.S., Mat Jafri, M.Z. & Abdullah, K. 2009. Study on Land Surface Temperature Based on Landsat Image over Penang Island, Malaysia, Proceeding of the 6th International Conference Computer Graphics, Imaging and Visualization 2009 (CGIV 2009), Tianjin, China. 525-529. DOI: 10.1109/CGIV.2009.94.

Tan, K.C., Lim, H.S., Mat Jafri, M.Z. & Abdullah, K. 2010. Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environmental Earth Sciences 60(7): 1509–1521.

Tan, K.C., Lim, H.S., Mat Jafri, M.Z. & Abdullah, K. 2011. A comparison of radiometric correction techniques when evaluating the relationship between LST and NDVIin Landsat Imagery, Environmental Monitoring and Assessment 184: 3813-3829.

Tokola, T., Lofman, S. & Erkkila, A. 1999. Relative calibration of multitemporal landsat data for forest cover change detection. Remote Sens. Environ. 68: 1–11.

Vicente-Serrano, S.M., Perez-Cabello, F. & Lasanta, T. 2008. Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images. Remote Sens. Environ. 112: 3916–3934.

Wan, Z. & Snyder, W. 1996. MODIS Land-surface Temperature Algorithm Theoretical Basis Document (LST ATBD), version 3.2.

Yang, J.S. & Wang, Y Q. 2002. Estimation of land surface temperature using Landsat–7 ETM+ thermal infrared and weather station data, Proceedings of Huangshan International Thermal Infrared Remote Sensing Workshop, July 14–17 Huangshan, Anhui, P.R.China.

 

 

*Pengarang untuk surat-menyurat; email: hslim@usm.my

 

 

 

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