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:: Volume 5, Issue 2 (9-2017) ::
jgit 2017, 5(2): 79-98 Back to browse issues page
Evaluation of different LST approaches for determination of pistachio tree canopy temperature through Landsat 8 satellite data
Mohammad Hasan Rahimian , Mohammad Shayannejad * , Saeed Eslamian , Reza Jafari , Mehdi Gheysari , Saleh Taghvaeian
Isfahan University of Technology
Abstract:   (4129 Views)
One of the applications of satellite images is to determine Land Surface Temperature (LST), which has widespread uses in estimation of air temperature (Tair), estimation of vegetation canopy temperature (Tcanopy), investigation of environmental stresses and management options on plant health status and so on. Remotely sensed based LST maps can be generated through different approaches or algorithms; each one fits with a set of input data and climatic conditions and has some advantages and shortcomings. In this study, four LST determination algorithms, namely Mono Window (MW), Improved Mono Window (IMW), Single Channel (SC) and Split Window (SW) algorithms were used to estimate pistachio tree Tcanopy through Landsat 8 OLI/TIRS images and then were evaluated with the aid of ground based measurements in Bahabad region, Yazd province of Iran. The results indicate a substantial difference of about 2.5 degrees Celsius in the average LSTs of different algorithms. Moreover, trend of their differences changes seasonally, emphasizing on importance of LST generation algorithm in warm seasons (regions), compared to cold seasons (regions). Also it was found that LST is a more appropriate parameter than air temperature (Tair) to estimate canopy temperature of pistachio trees (Tcanopy) in the studied area. Under such a condition, Tcanopy determining equations, as a function of LST, have had the error of less than 1 degree Celsius. Furthermore, Split Window algorithm (SW) was found to be more accurate than other LST determining algorithms and substantially, can be recommended for estimation of pistachio canopy temperature, as well
Keywords: Split Window Algorithm, Canopy Temperature, IR Thermometer, Pistachio, Landsat 8
Full-Text [PDF 1937 kb]   (1864 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2017/10/8 | Accepted: 2017/10/8 | Published: 2017/10/8
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Rahimian M H, shayannejad M, Eslamian S, Jafari R, Gheysari M, Taghvaeian S. Evaluation of different LST approaches for determination of pistachio tree canopy temperature through Landsat 8 satellite data . jgit 2017; 5 (2) :79-98
URL: http://jgit.kntu.ac.ir/article-1-470-en.html

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 5, Issue 2 (9-2017) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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