Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments
This study aimed to determine whether canopy and air temperature difference (ΔT) as an existing simple normalizing index can be used to detect an increase in canopy temperature induced by soil drought in urban parks, regardless of the unique energy balance and three-dimensional (3D) structure of urb...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/23/4606 |
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| author | Takashi Asawa Haruki Oshio Yumiko Yoshino |
| author_facet | Takashi Asawa Haruki Oshio Yumiko Yoshino |
| author_sort | Takashi Asawa |
| collection | DOAJ |
| description | This study aimed to determine whether canopy and air temperature difference (ΔT) as an existing simple normalizing index can be used to detect an increase in canopy temperature induced by soil drought in urban parks, regardless of the unique energy balance and three-dimensional (3D) structure of urban trees. Specifically, we used a thermal infrared camera to measure the canopy temperature of <i>Zelkova serrata</i> trees and compared the temporal variation of ΔT to that of environmental factors, including solar radiation, wind speed, vapor pressure deficit, and soil water content. Normalization based on a 3D energy-balance model was also performed and used for comparison with ΔT. To represent the 3D structure, a terrestrial light detection and ranging-derived 3D tree model was used as the input spatial data. The temporal variation in ΔT was similar to that of the index derived using the energy-balance model, which considered the 3D structure of trees and 3D radiative transfer, with a correlation coefficient of 0.85. In conclusion, the thermal-image-based ΔT performed comparably to an index based on the 3D energy-balance model and detected the increase in canopy temperature because of the reduction in soil water content for <i>Z. serrata</i> trees in an urban environment. |
| format | Article |
| id | doaj-art-680d0ad624a84a43a98d3138939dae77 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-680d0ad624a84a43a98d3138939dae772024-12-13T16:31:25ZengMDPI AGRemote Sensing2072-42922024-12-011623460610.3390/rs16234606Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban EnvironmentsTakashi Asawa0Haruki Oshio1Yumiko Yoshino2Department of Architecture and Building Engineering, School of Environment and Society, Institute of Science Tokyo, 4259-G5-2 Nagatsuda-cho, Midori-ku, Yokohama 226-8501, JapanDepartment of Architecture and Building Engineering, School of Environment and Society, Institute of Science Tokyo, 4259-G5-2 Nagatsuda-cho, Midori-ku, Yokohama 226-8501, JapanDepartment of Architecture and Building Engineering, School of Environment and Society, Institute of Science Tokyo, 4259-G5-2 Nagatsuda-cho, Midori-ku, Yokohama 226-8501, JapanThis study aimed to determine whether canopy and air temperature difference (ΔT) as an existing simple normalizing index can be used to detect an increase in canopy temperature induced by soil drought in urban parks, regardless of the unique energy balance and three-dimensional (3D) structure of urban trees. Specifically, we used a thermal infrared camera to measure the canopy temperature of <i>Zelkova serrata</i> trees and compared the temporal variation of ΔT to that of environmental factors, including solar radiation, wind speed, vapor pressure deficit, and soil water content. Normalization based on a 3D energy-balance model was also performed and used for comparison with ΔT. To represent the 3D structure, a terrestrial light detection and ranging-derived 3D tree model was used as the input spatial data. The temporal variation in ΔT was similar to that of the index derived using the energy-balance model, which considered the 3D structure of trees and 3D radiative transfer, with a correlation coefficient of 0.85. In conclusion, the thermal-image-based ΔT performed comparably to an index based on the 3D energy-balance model and detected the increase in canopy temperature because of the reduction in soil water content for <i>Z. serrata</i> trees in an urban environment.https://www.mdpi.com/2072-4292/16/23/4606urban treesradiative transfersoil water contentthermal infrared cameracanopy temperature |
| spellingShingle | Takashi Asawa Haruki Oshio Yumiko Yoshino Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments Remote Sensing urban trees radiative transfer soil water content thermal infrared camera canopy temperature |
| title | Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments |
| title_full | Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments |
| title_fullStr | Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments |
| title_full_unstemmed | Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments |
| title_short | Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments |
| title_sort | comparison between thermal image based and model based indices to detect the impact of soil drought on tree canopy temperature in urban environments |
| topic | urban trees radiative transfer soil water content thermal infrared camera canopy temperature |
| url | https://www.mdpi.com/2072-4292/16/23/4606 |
| work_keys_str_mv | AT takashiasawa comparisonbetweenthermalimagebasedandmodelbasedindicestodetecttheimpactofsoildroughtontreecanopytemperatureinurbanenvironments AT harukioshio comparisonbetweenthermalimagebasedandmodelbasedindicestodetecttheimpactofsoildroughtontreecanopytemperatureinurbanenvironments AT yumikoyoshino comparisonbetweenthermalimagebasedandmodelbasedindicestodetecttheimpactofsoildroughtontreecanopytemperatureinurbanenvironments |