Comparative analysis of high-temperature targets retrieved from SWIR and TIR data
IntroductionForest fires, grassland fires, heap coking, straw burning, and volcanic eruptions are thermal anomalies. They attract attention and are designated as high-temperature targets. They can be retrieved macroscopically and quickly by remote sensing technology.MethodsIn temperature inversion,...
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1446007/full |
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| author | Yifan Yu Jun Pan Huishi Du |
| author_facet | Yifan Yu Jun Pan Huishi Du |
| author_sort | Yifan Yu |
| collection | DOAJ |
| description | IntroductionForest fires, grassland fires, heap coking, straw burning, and volcanic eruptions are thermal anomalies. They attract attention and are designated as high-temperature targets. They can be retrieved macroscopically and quickly by remote sensing technology.MethodsIn temperature inversion, the mid-infrared (MIR, 3∼5 μm) and thermal infrared (TIR, 8∼14 μm) band data are most commonly used for temperature inversion. However, it is difficult to effectively retrieve the temperature of small-area high-temperature targets with them; the SWIR band data can perform this task more effectively. Additionally, inversion methods for short-wave infrared (SWIR, 1.3∼2.5 μm) and TIR band data are different. These differences lie in the mechanisms and models. Therefore, we use SWIR and TIR band data to retrieve heap coking temperature with Landsat 7 and Landsat 8 data.ResultsSWIR data obtained the results 496∼651 K and 912 K, and TIR data obtained the results 313∼334 K and 320 K.ConclusionThe SWIR inversion results have higher accuracy than the TIR inversion results. The inversion results are closer to the actual temperature of local coking. For this reason, SWIR is more suitable for temperature inversion of small-area high-temperature targets. |
| format | Article |
| id | doaj-art-ae5d7a1be1e54ddebbc09b34636a4ed2 |
| institution | Kabale University |
| issn | 2296-665X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Environmental Science |
| spelling | doaj-art-ae5d7a1be1e54ddebbc09b34636a4ed22024-11-19T06:15:05ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2024-11-011210.3389/fenvs.2024.14460071446007Comparative analysis of high-temperature targets retrieved from SWIR and TIR dataYifan Yu0Jun Pan1Huishi Du2Department of Geographic Science and Tourism, Jilin Normal University, Siping, ChinaDepartment of Geo-Exploration Science and Technology, Jilin University, Changchun, ChinaDepartment of Geographic Science and Tourism, Jilin Normal University, Siping, ChinaIntroductionForest fires, grassland fires, heap coking, straw burning, and volcanic eruptions are thermal anomalies. They attract attention and are designated as high-temperature targets. They can be retrieved macroscopically and quickly by remote sensing technology.MethodsIn temperature inversion, the mid-infrared (MIR, 3∼5 μm) and thermal infrared (TIR, 8∼14 μm) band data are most commonly used for temperature inversion. However, it is difficult to effectively retrieve the temperature of small-area high-temperature targets with them; the SWIR band data can perform this task more effectively. Additionally, inversion methods for short-wave infrared (SWIR, 1.3∼2.5 μm) and TIR band data are different. These differences lie in the mechanisms and models. Therefore, we use SWIR and TIR band data to retrieve heap coking temperature with Landsat 7 and Landsat 8 data.ResultsSWIR data obtained the results 496∼651 K and 912 K, and TIR data obtained the results 313∼334 K and 320 K.ConclusionThe SWIR inversion results have higher accuracy than the TIR inversion results. The inversion results are closer to the actual temperature of local coking. For this reason, SWIR is more suitable for temperature inversion of small-area high-temperature targets.https://www.frontiersin.org/articles/10.3389/fenvs.2024.1446007/fullthermal anomaliesmultispectral dataremote sensingsmall areastemperature inversion |
| spellingShingle | Yifan Yu Jun Pan Huishi Du Comparative analysis of high-temperature targets retrieved from SWIR and TIR data Frontiers in Environmental Science thermal anomalies multispectral data remote sensing small areas temperature inversion |
| title | Comparative analysis of high-temperature targets retrieved from SWIR and TIR data |
| title_full | Comparative analysis of high-temperature targets retrieved from SWIR and TIR data |
| title_fullStr | Comparative analysis of high-temperature targets retrieved from SWIR and TIR data |
| title_full_unstemmed | Comparative analysis of high-temperature targets retrieved from SWIR and TIR data |
| title_short | Comparative analysis of high-temperature targets retrieved from SWIR and TIR data |
| title_sort | comparative analysis of high temperature targets retrieved from swir and tir data |
| topic | thermal anomalies multispectral data remote sensing small areas temperature inversion |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1446007/full |
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