[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 20, Issue 72 (2-2021) ::
جغرافیایی 2021, 20(72): 39-56 Back to browse issues page
Comparison of Different Retrieval Temperature algorithms With different Emissivity by Using remote sensing images
Ali Hossingholizade *1, Parviz Zeaiean, Parisa Beyranvand
Abstract:   (983 Views)
Land surface temperature (LST) is the main factor in the energy balance of the Earth, and is used as input for climate and environmental changes models. In the past and even now, due to the lack or insufficient number meteorological stations, temperature has not been measured and recorded in many parts of the country, therefore, there is no accurate information on temperature changes in these regions. So there is a need for a method to measure this parameter that is fast and accurate as well as being the low cost and covering a wide area. Using remote sensing data due to its wide coverage, the availability of many images and rich archives is a good option for estimating this parameter. In this research, various methods for extracting land surface temperature including Mono-window, Artis and Stefan-Boltzman were investigated. In each method, emissivity was calculated from different ways, including NDVI, Classification and MODIS Product, and then entered into their equations. Landsat series including TM, ETM +, OLI and MODIS emissivity products were also used. To convert the surface temperature to  one and half meters height temperature, a precise environmental thermometer with a precision of 0.2 ° C and a linear relationship (air temperature= 0.44 × LST + 8.8) were used. Then, the results were tested using weather station data  via RMSE and t-test. The final results showed that the best method with RMSE 1.09 is using the ETM + image and the Stefan-Boltzman method, and the worst method with RMSE 2.64 is belonging to the use the MODIS image and the Mono-Window method. Therefore, it is recommended to use Stefan-Boltzman method for other regions which are geographically similar to this studied area.
Keywords: Artis, Stefan_Boltzman, Mono_Window, Tehran, LST
Full-Text [PDF 1396 kb]   (375 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/03/16 | Accepted: 2019/07/14 | Published: 2021/02/28
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hossingholizade A, Zeaiean P, Beyranvand P. Comparison of Different Retrieval Temperature algorithms With different Emissivity by Using remote sensing images. جغرافیایی. 2021; 20 (72) :39-56
URL: http://geographical-space.iau-ahar.ac.ir/article-1-3433-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 20, Issue 72 (2-2021) Back to browse issues page
فضای جغرافیایی Geographic Space
Persian site map - English site map - Created in 0.15 seconds with 30 queries by YEKTAWEB 4331