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Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data

Open access
Avdan, Ugur, Jovanovska, Gordana·2016·Journal of Sensors

Abstract

Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover. As the latest launched satellite from the LANDSAT family, LANDSAT 8 has opened new possibilities for understanding the events on the Earth with remote sensing. This study presents an algorithm for the automatic mapping of land surface temperature from LANDSAT 8 data. The tool was developed using the LANDSAT 8 thermal infrared sensor Band 10 data. Different methods and formulas were used in the algorithm that successfully retrieves the land surface temperature to help us study the thermal environment of the ground surface. To verify the algorithm, the land surface temperature and the near-air temperature were compared. The results showed that, for the first case, the standard deviation was 2.4°C, and for the second case, it was 2.7°C. For future studies, the tool should be refined with in situ measurements of land surface temperature.

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Metadata

Authors
Avdan, U., & Jovanovska, G.
Venue
Journal of Sensors
Publisher
Wiley
Published
2016
Volume
2016
Pages
1-8
ISSN
  • 1687-725X (ISSN-L)
  • 1687-7268
OpenAlex
W2289096635
Cited by
787
References
10
FWCI
13.70
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data. https://app.cochat.ai/papers/10.1155/2016/1480307
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Avdan, U., & Jovanovska, G. (2016). Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data. Journal of Sensors. https://doi.org/10.1155/2016/1480307

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