Using Landsat Thematic Mapper (TM) sensor to detect change in land surface temperature in relation to land use change in Yazd, Iran
Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local to global scales, and it is one of the indicators of environmental quality. Evaluation of the surface temperature distribution and its relation to existing land use types are very importan...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-11-01
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| Series: | Solid Earth |
| Online Access: | http://www.solid-earth.net/7/1551/2016/se-7-1551-2016.pdf |
| Summary: | Land surface temperature (LST) is one of the key parameters in the physics
of land surface processes from local to global scales, and it is one of the
indicators of environmental quality. Evaluation of the surface temperature
distribution and its relation to existing land use types are very
important to the investigation of the urban microclimate. In arid and semi-arid
regions, understanding the role of land use changes in the formation of
urban heat islands is necessary for urban planning to control or
reduce surface temperature. The internal factors and environmental conditions of
Yazd city have important roles in the formation of special thermal
conditions in Iran. In this paper, we used the temperature–emissivity separation (TES) algorithm for LST retrieving from the TIRS (Thermal Infrared Sensor) data of the Landsat
Thematic Mapper (TM). The root mean square error (RMSE) and coefficient of determination (<i>R</i><sup>2</sup>) were used for validation of retrieved LST values.
The RMSE of 0.9 and 0.87 °C and <i>R</i><sup>2</sup> of 0.98 and
0.99 were obtained for the 1998 and 2009 images, respectively. Land use types
for
the city of Yazd were identified and relationships between land use types,
land surface temperature and normalized difference vegetation index (NDVI) were analyzed. The Kappa coefficient
and overall accuracy were calculated for accuracy assessment of land use
classification. The Kappa coefficient values are 0.96 and 0.95 and the
overall accuracy values are 0.97 and 0.95 for the 1998 and 2009 classified
images, respectively. The results showed an increase of 1.45 °C
in the average surface temperature. The results of this study showed that
optical and thermal remote sensing methodologies can be used to research
urban environmental parameters. Finally, it was found that special thermal
conditions in Yazd were formed by land use changes. Increasing the area of
asphalt roads, residential, commercial and industrial land use types and
decreasing the area of the parks, green spaces and fallow lands in Yazd caused a rise in surface temperature during the 11-year
period. |
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| ISSN: | 1869-9510 1869-9529 |