COMPARATIVE ANALYSIS OF SPLIT-WINDOW ALGORITHMS FOR ESTIMATING SOIL TEMPERATURE
نویسندگان
چکیده
منابع مشابه
Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split- Window Algorithm
Land surface temperature (LST) is used as one of the key sources to study land surface processes such as evapotranspiration, development of indexes, air temperature modeling and climate change. Remote sensing data offer the possibility of estimating LST all over the world with high temporal and spatial resolution. Landsat-8, which has two thermal infrared channels, provides an opportunity for t...
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Land surface temperature (LST) is a significant parameter for many applications. Many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. Each algorithm is developed for a limited study area andapplication. In this paper, as part of developing an optimal split-window m...
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land surface temperature (lst) is a significant parameter for many applications. many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. each algorithm is developed for a limited study area andapplication. in this paper, as part of developing an optimal split-window m...
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Land Surface Temperature (LST) is an important indicator of the study of energy balance models at the earthchr('39')s surface and the interactions between the Earth and the atmosphere on a regional and global scale. To date, different algorithms have been developed in the last few decades to determine the land surface temperature using various satellite images. In this study, a new split window...
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ژورنال
عنوان ژورنال: Revista de la ciencia del suelo y nutrición vegetal
سال: 2010
ISSN: 0718-2791
DOI: 10.4067/s0718-27912010000100004