Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split-Window Algorithm

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Madanian M.; SOFFIANIAN A. R.; Soltani Koupai S.; POURMANAFI S.; MOMENI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Water and Soil Science Year:2020 | Volume:23 | Issue:4 Page(s): 1-12

Download Full-Text

Persian Verion

View:

408

Download:

Cites:

Information Journal Paper

Title

Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split-Window Algorithm

Author(s)

Keywords

Land surface temperatureQ2

Split-window algorithmQ1

Landsat-8Q1

Central part of Isfahan ProvinceQ1

Abstract

Land surface temperature (LST) is used as one of the key sources to study land surface processes such as evapotranspiration, development of indexes, air temperature modeling and climate change. Remote sensing data offer the possibility of estimating LST all over the world with high temporal and spatial resolution. Landsat-8, which has two thermal infrared channels, provides an opportunity for the retrieval of LST using the split-window method. The main objective of this research was to analyze the LST of land use/land cover types of the Central part of Isfahan Province using the Split-window algorithm. The obtained results demonstrated that the "other" class which had been mainly covered with bare lands exhibited the highest LST (50. 9° C). Impervious surfaces including residential areas, roads and industries had the LST of 45° C. The lowest temperature was observed in the "water" class, which was followed by vegetation. Vegetation recorded a mean LST of 42. 3° C. R2 was 0. 63 when regression was carried out on LST and air temperature.

Cites

No record.

References

No record.

Cite

APA: Copy

Madanian, M., SOFFIANIAN, A. R., Soltani Koupai, S., POURMANAFI, S., & MOMENI, M.. (2020). Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split-Window Algorithm. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 23(4 ), 1-12. SID. https://sid.ir/paper/364619/en

Vancouver: Copy

Madanian M., SOFFIANIAN A. R., Soltani Koupai S., POURMANAFI S., MOMENI M.. Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split-Window Algorithm. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2020;23(4 ):1-12. Available from: https://sid.ir/paper/364619/en

IEEE: Copy

M. Madanian, A. R. SOFFIANIAN, S. Soltani Koupai, S. POURMANAFI, and M. MOMENI, “Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split-Window Algorithm,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 23, no. 4 , pp. 1–12, 2020, [Online]. Available: https://sid.ir/paper/364619/en

Related Journal Papers