A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data
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 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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Land surface temperature (LST) is one of the most important variables measured by satellite remote sensing. Public domain data are available from the newly operational Landsat-8 Thermal Infrared Sensor (TIRS). This paper presents an adjustment of the split window algorithm (SWA) for TIRS that uses atmospheric transmittance and land surface emissivity (LSE) as inputs. Various alternatives for es...
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K. MAO*{{§, Z. QIN{§, J. SHI{" and P. GONG{** {The Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing Normal University, Beijing 100101, China {International Institute for Earth System, Nanjing University, Nanjing 210093, China §The Key Laboratory of Remote Sensing and Digital Agriculture, China Ministry and the Agriculture Re...
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This paper proposes a practical split-window algorithm (SWA) for retrieving land surface temperature (LST) from Landsat-8 Thermal Infrared Sensor (TIRS) data. This SWA has a universal applicability and a set of parameters that can be applied when retrieving LSTs year-round. The atmospheric transmittance and the land surface emissivity (LSE), the essential SWA input parameters, of the Landsat-8 ...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2015
ISSN: 2072-4292
DOI: 10.3390/rs70100647