Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia
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...
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Universiti Kebangsaan Malaysia
2012
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my-ukm.journal.52962016-12-14T06:38:01Z http://journalarticle.ukm.my/5296/ Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia Lim, H.S Mat Jafri, M·Z Abdullah, K Sultan AlSultan, 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. Universiti Kebangsaan Malaysia 2012-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5296/1/05%2520H%2520S%2520Lim.pdf Lim, H.S and Mat Jafri, M·Z and Abdullah, K and Sultan AlSultan, (2012) Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia. Sains Malaysiana, 41 (7). pp. 841-846. ISSN 0126-6039 http://www.ukm.my/jsm/contents.html |
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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. |
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Article |
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Lim, H.S Mat Jafri, M·Z Abdullah, K Sultan AlSultan, |
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Lim, H.S Mat Jafri, M·Z Abdullah, K Sultan AlSultan, Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
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Lim, H.S Mat Jafri, M·Z Abdullah, K Sultan AlSultan, |
author_sort |
Lim, H.S |
title |
Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
title_short |
Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
title_full |
Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
title_fullStr |
Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
title_full_unstemmed |
Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia |
title_sort |
application of a simple mono window land surface temperature algorithm from landsat etm+ over al qassim, saudi arabia |
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Universiti Kebangsaan Malaysia |
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2012 |
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http://journalarticle.ukm.my/5296/1/05%2520H%2520S%2520Lim.pdf http://journalarticle.ukm.my/5296/ http://www.ukm.my/jsm/contents.html |
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