TY - JOUR
ID - 100677
TI - Estimate and calibration Land Surface Temperature Using Landsat8 Satellite Images And Split Window Algorithm Based On Mathematical Models-Case Study:Kurdestan Province
JO - Iranian Journal of Remote Sensing & GIS
JA - GISJ
LA - en
SN - 2008-5966
AU - Ahmadi, Salman
AU - Soodmand, Reza
AD - Salman Ahmadi,Assistant Professor Of Civil Engineering Department,Engineering Faculty,University Of Kurdistan
AD - Reza Soudmand Afshar,MS Remote Sensing Student,Engineering,Engineering Faculty,Univrsity Of Kurdistan
Y1 - 2020
PY - 2020
VL - 12
IS - 3
SP - 103
EP - 122
KW - Land Surface Temperature
KW - NDVI
KW - Separate Window Algorithm
KW - Oil
KW - LANDSAT 8
DO - 10.52547/gisj.12.3.103
N2 - The temperature of the Earth's surface is a very important parameter in environmental studies, climate change, soil moisture content, Evapotranspiration and urban thermal islands at different scales. Currently, there is no perfect method for accurately measuring the temperature of the surface of the earth, but since high spectral resolution sensors prevent the vapor spectral absorption in the infrared bands, this Increases computational accuracy in determining vegetation index. The purpose of this paper is to calculate the surface temperature using satellite images of OLI and TIRS sensors of Landsat 8. In this research, the separate window algorithm has been used to calculate ground temperature. The algorithm uses spectral radiance and emissivity to calculate the surface temperature. To estimate the spectral radiance in Landsat 8, the bands of 10 and 11 have been used. Emissivity is also obtained by using the NDVI threshold technique by using the OLI bands 2, 3, 4 and 5. Also, In this paper the temperature is calculated by The algorithm has been calibrated and corrected by a two-dimensional projective mathematical model, which tried to bring the calculated temperature closer to the actual ground temperature. In the present paper, the RMSE value is equal to 0.3678°C and the correlation between Meteorological data and temperature estimated by the model is equal to 0.9791. Also, the performance of the model that used to estimate the Earth's surface temperature is equal to 0.9751.
UR - https://gisj.sbu.ac.ir/article_100677.html
L1 - https://gisj.sbu.ac.ir/article_100677_103d0c87a17b9a3100be423d798e3d08.pdf
ER -