Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods
Land Surface Temperature (LST) measurements using remote sensing data are conducted using various methods, including the Single Channel Method (SCM) and the Multi-Channel Method (MCM). Emissivity, which significantly affects LST, is determined using methods such as the Correction-Based Emissivity Me...
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Taylor & Francis Group
2024-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2324975 |
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| author | A Sediyo Adi Nugraha Muhammad Kamal Sigit Heru Murti Wirastuti Widyatmanti |
| author_facet | A Sediyo Adi Nugraha Muhammad Kamal Sigit Heru Murti Wirastuti Widyatmanti |
| author_sort | A Sediyo Adi Nugraha |
| collection | DOAJ |
| description | Land Surface Temperature (LST) measurements using remote sensing data are conducted using various methods, including the Single Channel Method (SCM) and the Multi-Channel Method (MCM). Emissivity, which significantly affects LST, is determined using methods such as the Correction-Based Emissivity Method (CBEM) and the Non-Linear Based Emissivity Method (NBEM). Given these factors, validating LST measurements is crucial for assessing the accuracy of data processing results. This study aims to compare LST data retrieved using SCM and MCM with various emissivity calculation methods and assess their accuracy compared to single measurements with an infrared thermometer, measurements using a grid plot, and measurements using a thermal camera with the assistance of an Unmanned Aerial Vehicle (UAV). The results show that SCMJM&S and SCMAC did not produce optimal accuracy (>2.5K) when using the emissivity estimates from CBEM and NBEM. In contrast, MCM that adopted MCMSko, MCMQin, and MCMMao generally produced high-accuracy LST with an average difference of <1 K from actual temperatures, specifically in shrub pixels. MCM with the NDVI threshold method (NDVITHM) showed excellent results in distinguishing between vegetation and non-vegetation objects. In conclusion, MCM provides more accurate LST than SCM. Nevertheless, selecting the appropriate method should consider heterogeneity, homogeneity, and regional physiography. |
| format | Article |
| id | doaj-art-eadfcdbd46b84dd0aa0b4f7d24c266db |
| institution | OA Journals |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
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| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-eadfcdbd46b84dd0aa0b4f7d24c266db2025-08-20T02:34:32ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132024-12-0115110.1080/19475705.2024.2324975Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methodsA Sediyo Adi Nugraha0Muhammad Kamal1Sigit Heru Murti2Wirastuti Widyatmanti3Doctoral Program in Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, IndonesiaLand Surface Temperature (LST) measurements using remote sensing data are conducted using various methods, including the Single Channel Method (SCM) and the Multi-Channel Method (MCM). Emissivity, which significantly affects LST, is determined using methods such as the Correction-Based Emissivity Method (CBEM) and the Non-Linear Based Emissivity Method (NBEM). Given these factors, validating LST measurements is crucial for assessing the accuracy of data processing results. This study aims to compare LST data retrieved using SCM and MCM with various emissivity calculation methods and assess their accuracy compared to single measurements with an infrared thermometer, measurements using a grid plot, and measurements using a thermal camera with the assistance of an Unmanned Aerial Vehicle (UAV). The results show that SCMJM&S and SCMAC did not produce optimal accuracy (>2.5K) when using the emissivity estimates from CBEM and NBEM. In contrast, MCM that adopted MCMSko, MCMQin, and MCMMao generally produced high-accuracy LST with an average difference of <1 K from actual temperatures, specifically in shrub pixels. MCM with the NDVI threshold method (NDVITHM) showed excellent results in distinguishing between vegetation and non-vegetation objects. In conclusion, MCM provides more accurate LST than SCM. Nevertheless, selecting the appropriate method should consider heterogeneity, homogeneity, and regional physiography.https://www.tandfonline.com/doi/10.1080/19475705.2024.2324975Single channel methodmulti-channel methodland surface temperatureemissivityLandsat |
| spellingShingle | A Sediyo Adi Nugraha Muhammad Kamal Sigit Heru Murti Wirastuti Widyatmanti Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods Geomatics, Natural Hazards & Risk Single channel method multi-channel method land surface temperature emissivity Landsat |
| title | Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods |
| title_full | Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods |
| title_fullStr | Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods |
| title_full_unstemmed | Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods |
| title_short | Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods |
| title_sort | accuracy assessment of land surface temperature retrievals from remote sensing imagery pixel based single and multi channel methods |
| topic | Single channel method multi-channel method land surface temperature emissivity Landsat |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2024.2324975 |
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