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Kunihiko BAE paper
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fbiljecki authored Sep 15, 2024
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2 changes: 2 additions & 0 deletions content/post/2024-08-scs-microclimate-vision/index.md
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Expand Up @@ -38,6 +38,8 @@ This research was led by {{% mention "kunihiko" %}}.
Congratulations on this important journal publication! :raised_hands: :clap:
We are glad that this paper is one of the first outcomes of [our collaboration with Takenaka Corporation]({{< relref "../post/2023-04-takenaka-collaboration" >}}).

The code has been released open-source at [GitHub](https://github.com/kunifujiwara/microclimate-vision).

![](1.png)

![](2.png)
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84 changes: 84 additions & 0 deletions content/post/2024-09-bae-svf/index.md
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---
# Documentation: https://sourcethemes.com/academic/docs/managing-content/

title: "New paper: A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies"
subtitle: "Building and Environment publishes our new take on the sky view factor."
summary: "Building and Environment publishes our new take on the sky view factor."
authors: [admin]
tags: [paper, climate, morphology, computer vision, street view, sky view, urban form]
categories: []
date: 2024-09-15T19:05:22+08:00
lastmod: 2024-09-15T19:05:22+08:00
featured: false
draft: false
show_related: true
pager: true

# Featured image
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# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
image:
caption: ""
focal_point: ""
preview_only: false

# Projects (optional).
# Associate this post with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`.

---

We are glad to share our new paper:

> Fujiwara K, Ito K, Ignatius M, Biljecki F (2024): A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies. Building and Environment, 266: 112071. [<i class="ai ai-doi-square ai"></i> 10.1016/j.buildenv.2024.112071](https://doi.org/10.1016/j.buildenv.2024.112071) [<i class="far fa-file-pdf"></i> PDF](/publication/2024-bae-svf/2024-bae-svf.pdf)</i> <i class="ai ai-open-access-square ai"></i>
This research was led by {{% mention "kunihiko" %}}.
Congratulations on this important journal publication! :raised_hands: :clap:

This paper is another outcome of [our collaboration with Takenaka Corporation]({{< relref "../post/2023-04-takenaka-collaboration" >}}).

The code has been released open-source at [GitHub](https://github.com/kunifujiwara/TreeShadeMapper).

![](1.png)

![](2.png)

### Highlights

+ Advancing estimation of sky view factor and solar irradiance using panoramic imagery.
+ Detecting shading objects based on semantic segmentation of street-level panoramas.
+ Estimating transmittance of tree canopies using image binarization.
+ Solar irradiance estimated with MAE of 77.8 Wm−2, RMSE of 105.0 Wm−2, and R of 0.90.
+ Demonstration of high-resolution mapping and walking route optimization.

![](3.png)

![](4.png)


### Abstract

> Street-view-based techniques for assessing the sky view factor (SVF) and solar irradiance under trees are gaining attention as tools for evaluating trees as nature-based solutions to mitigate urban heat risks. Although these metrics significantly depend on the morphology of trees and resulting canopy transmittance, an existing approach, termed the Solid Canopy Method (SCM), assumes zero transmission and has not accounted for these variations. This paper advances the computation of both metrics, improving their accuracy and application — we developed the Transmissive Canopy Method (TCM), a panorama-based approach that integrates semantic segmentation and binarization to evaluate SVF and solar irradiance while accounting for transmittance of tree canopies. Using a study area on a university campus in Singapore, we collected data on solar irradiance and 360°imagery to validate our method. The results indicated improved accuracy with MAE, RMSE, and R values of 77.8 Wm−2, 105.0 Wm−2 and 0.90, respectively — significantly outperforming the SCM. We showcased two use cases of our method: (1) high-resolution mapping of SVF and solar irradiance in a field with trees, and (2) walking route optimization considering sunlight exposure. Our findings highlight the strong capability of our TCM to evaluate the effects of trees in mitigating urban heat more accurately than the existing method. Additionally, the TCM has potential applications in urban planning and management, enabling strategic tree planting prioritizing areas lacking sufficient shading and developing tools for optimizing walking routes to minimize sunlight exposure.

![](5.png)

### Paper

For more information, please see the [paper](/publication/2024-bae-svf/) (open access <i class="ai ai-open-access-square ai"></i>).

[![](page-one.png)](/publication/2024-bae-svf/)

BibTeX citation:
```bibtex
@article{2024_bae_svf,
author = {Fujiwara, Kunihiko and Ito, Koichi and Ignatius, Marcel and Biljecki, Filip},
doi = {10.1016/j.buildenv.2024.112071},
journal = {Building and Environment},
pages = {112071},
title = {A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies},
volume = {266},
year = {2024}
}
```
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9 changes: 9 additions & 0 deletions content/publication/2024-bae-svf/2024-bae-svf.bib
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@article{2024_bae_svf,
author = {Fujiwara, Kunihiko and Ito, Koichi and Ignatius, Marcel and Biljecki, Filip},
doi = {10.1016/j.buildenv.2024.112071},
journal = {Building and Environment},
pages = {112071},
title = {A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies},
volume = {266},
year = {2024}
}
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9 changes: 9 additions & 0 deletions content/publication/2024-bae-svf/cite.bib
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@article{2024_bae_svf,
author = {Fujiwara, Kunihiko and Ito, Koichi and Ignatius, Marcel and Biljecki, Filip},
doi = {10.1016/j.buildenv.2024.112071},
journal = {Building and Environment},
pages = {112071},
title = {A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies},
volume = {266},
year = {2024}
}
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74 changes: 74 additions & 0 deletions content/publication/2024-bae-svf/index.md
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---
title: A panorama-based technique to estimate sky view factor and solar irradiance
considering transmittance of tree canopies

# Authors
# A YAML list of author names
# If you created a profile for a user (e.g. the default `admin` user at `content/authors/admin/`),
# write the username (folder name) here, and it will be replaced with their full name and linked to their profile.
authors:
- kunihiko
- koichi
- marcel
- filip

# Author notes (such as 'Equal Contribution')
# A YAML list of notes for each author in the above `authors` list
author_notes: []

date: '2024-09-13'

# Date to publish webpage (NOT necessarily Bibtex publication's date).
publishDate: '2024-09-15T08:03:47.068031Z'

# Publication type.
# A single CSL publication type but formatted as a YAML list (for Hugo requirements).
publication_types:
- article-journal

# Publication name and optional abbreviated publication name.
publication: '*Building and Environment*'
publication_short: ''

doi: 10.1016/j.buildenv.2024.112071

abstract: 'Street-view-based techniques for assessing the sky view factor (SVF) and solar irradiance under trees are gaining attention as tools for evaluating trees as nature-based solutions to mitigate urban heat risks. Although these metrics significantly depend on the morphology of trees and resulting canopy transmittance, an existing approach, termed the Solid Canopy Method (SCM), assumes zero transmission and has not accounted for these variations. This paper advances the computation of both metrics, improving their accuracy and application — we developed the Transmissive Canopy Method (TCM), a panorama-based approach that integrates semantic segmentation and binarization to evaluate SVF and solar irradiance while accounting for transmittance of tree canopies. Using a study area on a university campus in Singapore, we collected data on solar irradiance and 360°imagery to validate our method. The results indicated improved accuracy with MAE, RMSE, and R values of 77.8 Wm−2, 105.0 Wm−2 and 0.90, respectively — significantly outperforming the SCM. We showcased two use cases of our method: (1) high-resolution mapping of SVF and solar irradiance in a field with trees, and (2) walking route optimization considering sunlight exposure. Our findings highlight the strong capability of our TCM to evaluate the effects of trees in mitigating urban heat more accurately than the existing method. Additionally, the TCM has potential applications in urban planning and management, enabling strategic tree planting prioritizing areas lacking sufficient shading and developing tools for optimizing walking routes to minimize sunlight exposure.'

# Summary. An optional shortened abstract.
summary: ''

tags: []

# Display this page in a list of Featured pages?
featured: false

# Links
url_pdf: ''
url_code: 'https://github.com/kunifujiwara/TreeShadeMapper'
url_dataset: ''
url_poster: ''
url_project: ''
url_slides: ''
url_source: ''
url_video: ''

# Custom links (uncomment lines below)
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# Simply enter your project's folder or file name without extension.
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# Otherwise, set `projects: []`.
projects: []
---

14 changes: 13 additions & 1 deletion publications.bib
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%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
%% Created for Filip at 2024-09-01 22:57:48 +0800
%% Created for Filip at 2024-09-15 16:03:13 +0800
%% Saved with string encoding Unicode (UTF-8)
@article{2024_bae_svf,
author = {Fujiwara, Kunihiko and Ito, Koichi and Ignatius, Marcel and Biljecki, Filip},
date-added = {2024-09-15 16:03:12 +0800},
date-modified = {2024-09-15 16:03:12 +0800},
doi = {10.1016/j.buildenv.2024.112071},
journal = {Building and Environment},
pages = {112071},
title = {A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies},
volume = {266},
year = {2024},
bdsk-url-1 = {https://doi.org/10.1016/j.buildenv.2024.112071}}

@article{2024_ijgis_svi_gan,
author = {Ito, Koichi and Quintana, Matias and Han, Xianjing and Zimmermann, Roger and Biljecki, Filip},
date-added = {2024-09-01 22:57:47 +0800},
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