Evaluating the types of split window algorithms for calculating the land surface temperature to determine the best algorithm for MODIS sensor images

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Kazemi Garajeh Mohammad; Salmani Behnam; FEIZIZADEH BAKHTIAR

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Journal Paper

Paper Information

Journal: Journal of RS and GIS for Natural Resources Year:2020 | Volume:11 | Issue:2 (39) Page(s): 106-127

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Title

Evaluating the types of split window algorithms for calculating the land surface temperature to determine the best algorithm for MODIS sensor images

Author(s)

Kazemi Garajeh Mohammad | Salmani Behnam | FEIZIZADEH BAKHTIAR | Issue Writer Certificate

Keywords

Land surface temperature (LST)Q1

Split window algorithms (SW)Q1

MODIS sensorQ1

East Azarbaijan provinceQ1

Abstract

Background and Objective In recent years, the study of climate changes as well as their effects, has become a constant topic in the scientific fields of many countries. One of the main features of these changes is the increase in air temperature over the last 5 decades compared to the last 500 years. Statistics show an increase of one degree centigrade in air temperature over the last 5 decades. The land surface temperature means the radiant temperature of the earth's crust and the amount of pure energy that is balanced on the earth's surface under climatic conditions and depends on the reached the amount of energy, surface emissivity, humidity and atmospheric airflow. Land surface temperature is considered as one of the key variables in climate and environmental studies of the Earth’ s surface. It is also one of the basic parameters in the physical features of the earth's surface at all scales from local to global...

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APA: Copy

Kazemi Garajeh, Mohammad, Salmani, Behnam, & FEIZIZADEH, BAKHTIAR. (2020). Evaluating the types of split window algorithms for calculating the land surface temperature to determine the best algorithm for MODIS sensor images. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 11(2 (39) ), 106-127. SID. https://sid.ir/paper/358331/en

Vancouver: Copy

Kazemi Garajeh Mohammad, Salmani Behnam, FEIZIZADEH BAKHTIAR. Evaluating the types of split window algorithms for calculating the land surface temperature to determine the best algorithm for MODIS sensor images. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2020;11(2 (39) ):106-127. Available from: https://sid.ir/paper/358331/en

IEEE: Copy

Mohammad Kazemi Garajeh, Behnam Salmani, and BAKHTIAR FEIZIZADEH, “Evaluating the types of split window algorithms for calculating the land surface temperature to determine the best algorithm for MODIS sensor images,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 11, no. 2 (39) , pp. 106–127, 2020, [Online]. Available: https://sid.ir/paper/358331/en

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