Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms
Land Surface Temperature (LST) is an important measurement in studies related to the Earth surface’s processes. The Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) instrument onboard the Terra spacecraft is the currently available Thermal Infrared (TIR) imaging sensor with th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/8/12/993 |
| _version_ | 1798030299505885184 |
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| author | Milton Isaya Ndossi Ugur Avdan |
| author_facet | Milton Isaya Ndossi Ugur Avdan |
| author_sort | Milton Isaya Ndossi |
| collection | DOAJ |
| description | Land Surface Temperature (LST) is an important measurement in studies related to the Earth surface’s processes. The Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) instrument onboard the Terra spacecraft is the currently available Thermal Infrared (TIR) imaging sensor with the highest spatial resolution. This study involves the comparison of LSTs inverted from the sensor using the Split Window Algorithm (SWA), the Single Channel Algorithm (SCA) and the Planck function. This study has used the National Oceanic and Atmospheric Administration’s (NOAA) data to model and compare the results from the three algorithms. The data from the sensor have been processed by the Python programming language in a free and open source software package (QGIS) to enable users to make use of the algorithms. The study revealed that the three algorithms are suitable for LST inversion, whereby the Planck function showed the highest level of accuracy, the SWA had moderate level of accuracy and the SCA had the least accuracy. The algorithms produced results with Root Mean Square Errors (RMSE) of 2.29 K, 3.77 K and 2.88 K for the Planck function, the SCA and SWA respectively. |
| first_indexed | 2024-04-11T19:38:02Z |
| format | Article |
| id | doaj.art-0a1c487402c84cd8bb249595dc26626b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T19:38:02Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0a1c487402c84cd8bb249595dc26626b2022-12-22T04:06:46ZengMDPI AGRemote Sensing2072-42922016-12-0181299310.3390/rs8120993rs8120993Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three AlgorithmsMilton Isaya Ndossi0Ugur Avdan1Institute of Space and Earth Sciences, Anadolu University, Iki Eylul Campus, Eskisehir 26555, TurkeyInstitute of Space and Earth Sciences, Anadolu University, Iki Eylul Campus, Eskisehir 26555, TurkeyLand Surface Temperature (LST) is an important measurement in studies related to the Earth surface’s processes. The Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) instrument onboard the Terra spacecraft is the currently available Thermal Infrared (TIR) imaging sensor with the highest spatial resolution. This study involves the comparison of LSTs inverted from the sensor using the Split Window Algorithm (SWA), the Single Channel Algorithm (SCA) and the Planck function. This study has used the National Oceanic and Atmospheric Administration’s (NOAA) data to model and compare the results from the three algorithms. The data from the sensor have been processed by the Python programming language in a free and open source software package (QGIS) to enable users to make use of the algorithms. The study revealed that the three algorithms are suitable for LST inversion, whereby the Planck function showed the highest level of accuracy, the SWA had moderate level of accuracy and the SCA had the least accuracy. The algorithms produced results with Root Mean Square Errors (RMSE) of 2.29 K, 3.77 K and 2.88 K for the Planck function, the SCA and SWA respectively.http://www.mdpi.com/2072-4292/8/12/993land surface temperature (LST)split window algorithm (SWA)single channel algorithm (SCA)thermal infrared (TIR)Planck functionpython |
| spellingShingle | Milton Isaya Ndossi Ugur Avdan Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms Remote Sensing land surface temperature (LST) split window algorithm (SWA) single channel algorithm (SCA) thermal infrared (TIR) Planck function python |
| title | Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms |
| title_full | Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms |
| title_fullStr | Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms |
| title_full_unstemmed | Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms |
| title_short | Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms |
| title_sort | inversion of land surface temperature lst using terra aster data a comparison of three algorithms |
| topic | land surface temperature (LST) split window algorithm (SWA) single channel algorithm (SCA) thermal infrared (TIR) Planck function python |
| url | http://www.mdpi.com/2072-4292/8/12/993 |
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