Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran

Land surface temperature (LST) is a required input data for modeling in climatological, hydrological, agricultural, and change detection studies. In the current study, remotely sensed thermal infrared data were applied to assess LST in south Karkheh sub-basin, Iran. This research deals with the extr...

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Main Authors: Ghobadi, Yasser, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Kabiri, Keivan
Format: Article
Language:English
Published: Springer Verlag 2014
Online Access:http://psasir.upm.edu.my/id/eprint/43865/1/Assessment%20of%20spatial%20relationship%20between%20land%20surface%20temperature%20and%20landuse.pdf
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author Ghobadi, Yasser
Pradhan, Biswajeet
Mohd Shafri, Helmi Zulhaidi
Kabiri, Keivan
author_facet Ghobadi, Yasser
Pradhan, Biswajeet
Mohd Shafri, Helmi Zulhaidi
Kabiri, Keivan
author_sort Ghobadi, Yasser
collection UPM
description Land surface temperature (LST) is a required input data for modeling in climatological, hydrological, agricultural, and change detection studies. In the current study, remotely sensed thermal infrared data were applied to assess LST in south Karkheh sub-basin, Iran. This research deals with the extraction of LST and land surface emissivity (LSE) and the relationship between vegetation abundance using Landsat 5 TM and Landsat 7 ETM+ for October 1998 and 2002 over the studied area. The landuse/land cover (LULC) map was derived by using maximum likelihood classifier. The variety of LSE was investigated and extracted on the basis of NDVI threshold method, as well as the Plank equation was used to derive LST over the study region. The relationship between LST and different LULC is determined by zonal GIS and regression analysis. The results illustrate that the emissivity lies in the range of 0.860–0.992 and 0.855–0.992 in 1998 and 2002, respectively. The maximum value of LSE equal to ∼0.99 was observed over the dense vegetation, while the minimum LSE value equal to ∼0.880 was found over the sand dune. LST and NDVI analysis exhibits a strong inverse correlation except over water bodies. The strongest coefficient correlation was found over wetland (−0.76 and R2 = 0.78).
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spelling upm.eprints-438652016-10-26T10:05:52Z http://psasir.upm.edu.my/id/eprint/43865/ Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran Ghobadi, Yasser Pradhan, Biswajeet Mohd Shafri, Helmi Zulhaidi Kabiri, Keivan Land surface temperature (LST) is a required input data for modeling in climatological, hydrological, agricultural, and change detection studies. In the current study, remotely sensed thermal infrared data were applied to assess LST in south Karkheh sub-basin, Iran. This research deals with the extraction of LST and land surface emissivity (LSE) and the relationship between vegetation abundance using Landsat 5 TM and Landsat 7 ETM+ for October 1998 and 2002 over the studied area. The landuse/land cover (LULC) map was derived by using maximum likelihood classifier. The variety of LSE was investigated and extracted on the basis of NDVI threshold method, as well as the Plank equation was used to derive LST over the study region. The relationship between LST and different LULC is determined by zonal GIS and regression analysis. The results illustrate that the emissivity lies in the range of 0.860–0.992 and 0.855–0.992 in 1998 and 2002, respectively. The maximum value of LSE equal to ∼0.99 was observed over the dense vegetation, while the minimum LSE value equal to ∼0.880 was found over the sand dune. LST and NDVI analysis exhibits a strong inverse correlation except over water bodies. The strongest coefficient correlation was found over wetland (−0.76 and R2 = 0.78). Springer Verlag 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43865/1/Assessment%20of%20spatial%20relationship%20between%20land%20surface%20temperature%20and%20landuse.pdf Ghobadi, Yasser and Pradhan, Biswajeet and Mohd Shafri, Helmi Zulhaidi and Kabiri, Keivan (2014) Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran. Arabian Journal of Geosciences, 8 (1). pp. 525-537. ISSN 1866-7511; ESSN: 1866-7538 10.1007/s12517-013-1244-3
spellingShingle Ghobadi, Yasser
Pradhan, Biswajeet
Mohd Shafri, Helmi Zulhaidi
Kabiri, Keivan
Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title_full Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title_fullStr Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title_full_unstemmed Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title_short Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Sub-basin, Iran
title_sort assessment of spatial relationship between land surface temperature and landuse cover retrieval from multi temporal remote sensing data in south karkheh sub basin iran
url http://psasir.upm.edu.my/id/eprint/43865/1/Assessment%20of%20spatial%20relationship%20between%20land%20surface%20temperature%20and%20landuse.pdf
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