Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory
The study of urban thermal environments is of great significance for human residential comfort and ecological sustainability. In our research, we used remote sensing data to capture land surface temperature information to assess the urban thermal environment. A combined weighting method of CRITIC an...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10876585/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850070782459248640 |
|---|---|
| author | Yue Shi Qiang Fan Xiaonan Song Dandan Li |
| author_facet | Yue Shi Qiang Fan Xiaonan Song Dandan Li |
| author_sort | Yue Shi |
| collection | DOAJ |
| description | The study of urban thermal environments is of great significance for human residential comfort and ecological sustainability. In our research, we used remote sensing data to capture land surface temperature information to assess the urban thermal environment. A combined weighting method of CRITIC and coefficient of variation was applied to create a comprehensive surface representing resistance to the transfer and flow of heat across urban thermal patches. Relying on the local climate zone (LCZ) classification and “source-sink” theory, we constructed urban thermal environment networks for three different scenarios. The main conclusions are as follows: the highest surface temperature in the study area was 47.32 °C, and the lowest was 25.63 °C; the predominant LCZ type was LCZ5. The area contained a large proportion of “source” regions, accounting for 76.12% of all regions, whereas “sink” regions represented 23.88% . In the original network, a total of 66 corridors were constructed in Scenario S2, with a total length of 53.22 km. The network structure in this scenario was the most complex, with the highest connectivity and the most closed loops. After updating the “sink” areas, Scenario S1 showed the greatest changes in closed loops, network structure, and connectivity. The number of corridors decreased to 50, with a total length of 13.96 km. These findings provide valuable insights for urban development and planning, potentially contributing to high-quality and sustainable development of resource-depleted cities. |
| format | Article |
| id | doaj-art-afece5a07c9b43f4963d7aa3d202dd6e |
| institution | DOAJ |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-afece5a07c9b43f4963d7aa3d202dd6e2025-08-20T02:47:27ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01186382639210.1109/JSTARS.2025.353923010876585Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink TheoryYue Shi0https://orcid.org/0000-0003-4609-1983Qiang Fan1https://orcid.org/0000-0002-9612-0415Xiaonan Song2https://orcid.org/0000-0002-2175-4050Dandan Li3School of Geomatics, Liaoning Technical University, Fuxin, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin, ChinaThe study of urban thermal environments is of great significance for human residential comfort and ecological sustainability. In our research, we used remote sensing data to capture land surface temperature information to assess the urban thermal environment. A combined weighting method of CRITIC and coefficient of variation was applied to create a comprehensive surface representing resistance to the transfer and flow of heat across urban thermal patches. Relying on the local climate zone (LCZ) classification and “source-sink” theory, we constructed urban thermal environment networks for three different scenarios. The main conclusions are as follows: the highest surface temperature in the study area was 47.32 °C, and the lowest was 25.63 °C; the predominant LCZ type was LCZ5. The area contained a large proportion of “source” regions, accounting for 76.12% of all regions, whereas “sink” regions represented 23.88% . In the original network, a total of 66 corridors were constructed in Scenario S2, with a total length of 53.22 km. The network structure in this scenario was the most complex, with the highest connectivity and the most closed loops. After updating the “sink” areas, Scenario S1 showed the greatest changes in closed loops, network structure, and connectivity. The number of corridors decreased to 50, with a total length of 13.96 km. These findings provide valuable insights for urban development and planning, potentially contributing to high-quality and sustainable development of resource-depleted cities.https://ieeexplore.ieee.org/document/10876585/Local climate zones (LCZ)“source-sink” theorythermal environment networkland surface temperatureremote sensing |
| spellingShingle | Yue Shi Qiang Fan Xiaonan Song Dandan Li Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Local climate zones (LCZ) “source-sink” theory thermal environment network land surface temperature remote sensing |
| title | Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory |
| title_full | Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory |
| title_fullStr | Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory |
| title_full_unstemmed | Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory |
| title_short | Constructing Urban Thermal Environment Networks Using Remote Sensing Data: A Perspective Based on LCZ and Source-Sink Theory |
| title_sort | constructing urban thermal environment networks using remote sensing data a perspective based on lcz and source sink theory |
| topic | Local climate zones (LCZ) “source-sink” theory thermal environment network land surface temperature remote sensing |
| url | https://ieeexplore.ieee.org/document/10876585/ |
| work_keys_str_mv | AT yueshi constructingurbanthermalenvironmentnetworksusingremotesensingdataaperspectivebasedonlczandsourcesinktheory AT qiangfan constructingurbanthermalenvironmentnetworksusingremotesensingdataaperspectivebasedonlczandsourcesinktheory AT xiaonansong constructingurbanthermalenvironmentnetworksusingremotesensingdataaperspectivebasedonlczandsourcesinktheory AT dandanli constructingurbanthermalenvironmentnetworksusingremotesensingdataaperspectivebasedonlczandsourcesinktheory |