COMPARISON BETWEEN LAND SURFACE TEMPERATURE ESTIMATION IN SINGLE AND MULTI-CHANNEL METHOD USING LANDSAT IMAGES 8

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.

ASGARZADEH P.; DARVISHI BOLOORANI A.; BAHRAMI H.A.; HAMZEH S.

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

Journal Paper

Paper Information

Journal: Journal of RS and GIS for Natural Resources Year:2016 | Volume:7 | Issue:3 Page(s): 18-29

Download Full-Text

Persian Verion

View:

1,421

Download:

Cites:

Information Journal Paper

Title

COMPARISON BETWEEN LAND SURFACE TEMPERATURE ESTIMATION IN SINGLE AND MULTI-CHANNEL METHOD USING LANDSAT IMAGES 8

Author(s)

ASGARZADEH P. | DARVISHI BOLOORANI A. | BAHRAMI H.A. | HAMZEH S. | Issue Writer Certificate

Keywords

LANDSAT8Q1

LAND SURFACE TEMPERATUREQ1

THERMAL REMOTE SENSINGQ1

THERMAL BANDSQ2

EMISSIVITYQ3

Abstract

Land surface temperature (LST) is a key parameter in environmental studies particularly for drought monitoring. Due to the ground limitations to measure the LST on a large scale, THERMAL REMOTE SENSING is a unique method for estimating LST. The aim of this article is comparing between LST estimation in single and multi-channel method using Landsat 8 thermal and reflective bands. Necessary ground data from meteorological stations Farabi (Khuzestan) and Karaj (Alborz) were taken to coincide with the dates and times of Landsat 8 overpasses. In this article Land surface EMISSIVITY and atmospheric water vapor content are major inputs for single and multi-channel LST estimation. After correction, processing and calculation of interest, LST were estimated. For result evaluation, statistical indices such as Root-Mean-Square Error (RMSE), Mean Absolute Error (MAE) and coefficient of determination (R2) were used. Results show the high value of R2 in all LST estimation method in comparison with ground measurement. In single channel using band 10 highest accuracy with MAE about 1.04 and 0.98 degrees in Karaj and Farabi station was seen respectively. The lowest and highest value of RMSE is in the single channel method (band 10) and multi-channel method (band 10 and 11) respectively.Study area conditions in terms of temperature; land cover and water vapor content affect the results and appropriate thermal band selection. Take-in consideration, especially using multi-band LST estimation method is suggested.

Cites

No record.

References

No record.

Cite

APA: Copy

ASGARZADEH, P., DARVISHI BOLOORANI, A., BAHRAMI, H.A., & HAMZEH, S.. (2016). COMPARISON BETWEEN LAND SURFACE TEMPERATURE ESTIMATION IN SINGLE AND MULTI-CHANNEL METHOD USING LANDSAT IMAGES 8. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 7(3), 18-29. SID. https://sid.ir/paper/189555/en

Vancouver: Copy

ASGARZADEH P., DARVISHI BOLOORANI A., BAHRAMI H.A., HAMZEH S.. COMPARISON BETWEEN LAND SURFACE TEMPERATURE ESTIMATION IN SINGLE AND MULTI-CHANNEL METHOD USING LANDSAT IMAGES 8. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2016;7(3):18-29. Available from: https://sid.ir/paper/189555/en

IEEE: Copy

P. ASGARZADEH, A. DARVISHI BOLOORANI, H.A. BAHRAMI, and S. HAMZEH, “COMPARISON BETWEEN LAND SURFACE TEMPERATURE ESTIMATION IN SINGLE AND MULTI-CHANNEL METHOD USING LANDSAT IMAGES 8,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 7, no. 3, pp. 18–29, 2016, [Online]. Available: https://sid.ir/paper/189555/en

Related Journal Papers