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Comparison of Some Split-window Algorithms to Estimate Land Surface Temperature from AVHRR Data in Southeastern Tehran, | ||
| Desert | ||
| مقاله 7، دوره 14، شماره 2، اسفند 2009، صفحه 157-161 اصل مقاله (142.77 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jdesert.2009.36336 | ||
| نویسندگان | ||
| S.M. R. Behbahani* ؛ A. Rahimikhoob؛ M. H. Nazarifar | ||
| Irrigation and Drainage Engineering Department, College of Abureyhan ,University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Land surface temperature (LST) is a significant parameter for many applications. Many studies have proposed various algorithms, such as the split-window method, for retrieving surface temperatures from two spectrally adjacent thermal infrared bands of satellite data. Each algorithm is developed for a limited study area and application. In this paper, as part of developing an optimal split-window method in the southeast of Tehran province, Iran, four commonly applied algorithms to retrieve the LST from AVHRR were compared. This study was carried out in a wheat farm site located in the Pakdasht Agricultural Region. Measurements of LST over the farm were made with a manual infrared radiometer at the time of NOAA overpass for 18 days of May to June 2004. These days were cloud free over the study area. A total of 18 NOAA images were acquired for the days that LST measurements were made. The temperatures derived by the different split-window algorithms were compared to ground truth measurements. The performance of the split window algorithms was checked with three statistical indices: root mean square error (RMSE), mean bias error (MBE) and coefficient of determination (R2). The results showed that the Ulivieri split-window algorithm produced the lowest value of RMSE and MBE (2.71 and 0.26 K, respectively) and its highest value of R2 (0.92) gave more accurate results than the other algorithms. | ||
| کلیدواژه‌ها | ||
| Land surface temperature؛ NOAA؛ Split-window؛ Iran | ||
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آمار تعداد مشاهده مقاله: 2,167 تعداد دریافت فایل اصل مقاله: 1,999 |
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