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Pahlevani, M., Mobasheri, M.. (1388). An Improvement on Land Surface Temperature Determination by Producing Surface Emissivity Maps. , 14(2), 171-184. doi: 10.22059/jdesert.2009.36338
M. Pahlevani; M. R. Mobasheri. "An Improvement on Land Surface Temperature Determination by Producing Surface Emissivity Maps". , 14, 2, 1388, 171-184. doi: 10.22059/jdesert.2009.36338
Pahlevani, M., Mobasheri, M.. (1388). 'An Improvement on Land Surface Temperature Determination by Producing Surface Emissivity Maps', , 14(2), pp. 171-184. doi: 10.22059/jdesert.2009.36338
Pahlevani, M., Mobasheri, M.. An Improvement on Land Surface Temperature Determination by Producing Surface Emissivity Maps. , 1388; 14(2): 171-184. doi: 10.22059/jdesert.2009.36338

An Improvement on Land Surface Temperature Determination by Producing Surface Emissivity Maps

Desert
مقاله 9، دوره 14، شماره 2، اسفند 2009، صفحه 171-184    اصل مقاله (624.35 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jdesert.2009.36338
نویسندگان
M. Pahlevani1؛ M. R. Mobasheri* 2
1MSc. student of Remote Sensing, K. N. Toosi University of Technology, Tehran, Iran
2Associate Prof., K.N. Toosi University of Technology, Tehran, Iran
چکیده
Emissivity mapping of the Earth’s surface is the prerequisite to thermal remote sensing. A precise determination
of a surface's temperature is dependent upon the availability of precise emissivity data for that surface. The present
study area is a part of sugarcane plantation fields in the west part of Khuzestan province. In this work, Temperature
Emissivity Separation algorithm (TES) was applied to five different ASTER L1B images. It was found out that TES
method overestimates temperature in all the five thermal bands, and underestimates the emissivities as compared to
the laboratory values. The differences in the emissivity values (as compared to laboratory values) varied from 10% in
band 10 to 3% in band 14. The main reasons for these discrepancies were a lack of proper calibration of the thermal
bands, the possible presence of radiometric noises in the calculation of the emissivity Maximum Minimum
Differences (MMD) as well as mixed pixels. To overcome these uncertainties in the TES algorithm, an Improved
TES method (ITES) was introduced. In the ITES method, the surface exiting thermal fluxes were simulated. The
emissivities of four different reference surfaces, along with air temperature measured at nearby weather stations
(believed to represent LST of full vegetated pixels) and the band 14 temperature, were employed as inputs. The
results show noticeable improvements in the predicted emissivity to around 1% for band 10 and less than 1% for
bands 13 and 14 as compared to the corresponding laboratory values. The root mean square error (RMSE) of
emissivities for full vegetation cover was less than 0.015 and less than 0.01 for partial vegetated cover, bare soil, and
sea water surface. Finally, emissivity maps for one sample image, employing the five thermal bands, were produced.
It is believed that these maps can be used in other satellite images as layers of emissivity values for the purpose of a
proper estimation of surface temperatures.
کلیدواژه‌ها
remote sensing؛ ASTER؛ TES algorithm؛ Emissivity mapping
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