Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization
Urban tree canopies are a vital component of green infrastructure, especially in the context of the accelerating urban heat island effect and global climate change. Quantifying urban canopy cover in relation to land use and land cover changes is therefore crucial. However, accurately evaluating visu...
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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/2072-4292/16/24/4618 |
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| author | Seung Man An Byungsoo Kim Ho-Yeong Lee Chae-Yeon Yi Neelakshi Joshi Wolfgang Wende |
| author_facet | Seung Man An Byungsoo Kim Ho-Yeong Lee Chae-Yeon Yi Neelakshi Joshi Wolfgang Wende |
| author_sort | Seung Man An |
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| description | Urban tree canopies are a vital component of green infrastructure, especially in the context of the accelerating urban heat island effect and global climate change. Quantifying urban canopy cover in relation to land use and land cover changes is therefore crucial. However, accurately evaluating visual changes remains a challenge. In this study, we introduced the Urban Cover View Factor (VF) and Potential Influence Intensity Grade (PIIG) for tree canopy (TC) mapping using airborne Light Detection and Ranging (LiDAR) remote-sensing three-dimensional point clouds (3DPCs) from the Incheon metropolitan area, South Korea. The results demonstrated that airborne LiDAR 3DPCs effectively segmented non-sky urban cover views. Furthermore, the PIIG map, derived from the TC VF map, showed a significant correlation between surface heat risks and energy consumption patterns. Areas with lower PIIG grades tended to have higher energy consumption and greater vulnerability to surface heat risks, while areas with higher PIIG grades exhibited the opposite trend. Nevertheless, further exploration of complex urban cover and the collection of sufficient ground-based evidence is crucial for practical PIIG application. Further remote sensing research should support the management of urban tree canopies and urban agriculture to promote sustainable urban greening in response to evolving environmental needs. |
| format | Article |
| id | doaj-art-0d5bf55bbbf64ce2b27c943216f3e3f0 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-0d5bf55bbbf64ce2b27c943216f3e3f02024-12-27T14:50:42ZengMDPI AGRemote Sensing2072-42922024-12-011624461810.3390/rs16244618Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and UtilizationSeung Man An0Byungsoo Kim1Ho-Yeong Lee2Chae-Yeon Yi3Neelakshi Joshi4Wolfgang Wende5Housing & Real Estate Research Division, Korea Research Institute for Human Settlements, Sejong 30149, Republic of KoreaTENELEVEN Inc., Seoul 03925, Republic of KoreaTENELEVEN Inc., Seoul 03925, Republic of KoreaResearch Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin 17035, Republic of KoreaLeibniz Institut für Ökologische Raumentwicklung, 01217 Dresden, GermanyLeibniz Institut für Ökologische Raumentwicklung, 01217 Dresden, GermanyUrban tree canopies are a vital component of green infrastructure, especially in the context of the accelerating urban heat island effect and global climate change. Quantifying urban canopy cover in relation to land use and land cover changes is therefore crucial. However, accurately evaluating visual changes remains a challenge. In this study, we introduced the Urban Cover View Factor (VF) and Potential Influence Intensity Grade (PIIG) for tree canopy (TC) mapping using airborne Light Detection and Ranging (LiDAR) remote-sensing three-dimensional point clouds (3DPCs) from the Incheon metropolitan area, South Korea. The results demonstrated that airborne LiDAR 3DPCs effectively segmented non-sky urban cover views. Furthermore, the PIIG map, derived from the TC VF map, showed a significant correlation between surface heat risks and energy consumption patterns. Areas with lower PIIG grades tended to have higher energy consumption and greater vulnerability to surface heat risks, while areas with higher PIIG grades exhibited the opposite trend. Nevertheless, further exploration of complex urban cover and the collection of sufficient ground-based evidence is crucial for practical PIIG application. Further remote sensing research should support the management of urban tree canopies and urban agriculture to promote sustainable urban greening in response to evolving environmental needs.https://www.mdpi.com/2072-4292/16/24/4618urban covertree canopy (TC)Unit Hemisphereview factor (VF)airborne LiDAR 3DPCspotential influence intensity grade (PIIG) |
| spellingShingle | Seung Man An Byungsoo Kim Ho-Yeong Lee Chae-Yeon Yi Neelakshi Joshi Wolfgang Wende Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization Remote Sensing urban cover tree canopy (TC) Unit Hemisphere view factor (VF) airborne LiDAR 3DPCs potential influence intensity grade (PIIG) |
| title | Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization |
| title_full | Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization |
| title_fullStr | Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization |
| title_full_unstemmed | Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization |
| title_short | Views Rather than Radiosity: A Study on Urban Cover View Factor Mapping and Utilization |
| title_sort | views rather than radiosity a study on urban cover view factor mapping and utilization |
| topic | urban cover tree canopy (TC) Unit Hemisphere view factor (VF) airborne LiDAR 3DPCs potential influence intensity grade (PIIG) |
| url | https://www.mdpi.com/2072-4292/16/24/4618 |
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