The green space provides many benefits for social, environment and ecological for urban life. There is the need to develop a proper plan to ensure the well-being of residents by use other space as supplemental for urban green space (UGS). Informal green space (IGS) was long use as a solution for shortage of UGS and being used widely in recently years. However, it hardly analyzes and manages IGS efficient by traditional survey method because of its characteristics. Google street view (GSV) is a geospatial platform provided free large ground-based database 3600 photographs along streets that available on web interface. It is high possibility to use GSV in assess the distribution of IGS for managing and planning urban greenery and master plan. Ichikawa city, Chiba, Japan covers 57.45 km2 while provides about 7.28m2 green space area per capita, far from meet the requirement 10m2. By choosing this city, the field survey result of previous research could be used to compare to evaluate the accuracy of the remote sensing method. GSV images are downloaded by Street View Download 360 from the network of interval point along the road to detect IGS. After considering the time to acquire GSV and other factors, the 78 meters distance is chosen. The DeepLab V3+ is employed as a semantic segmentation tool and be trained to classify and labeled objects in pictures then separate IGS to surround environment. The map of IGS distribution will be produced from the output data of DeepLab V3+ by using ArcGIS. The final map will be compared with the data of IGS distribution that were recorded in the research of northern part of Ichikawa in 2020 to evaluate the efficiency of this method.
| Published in | Landscape Architecture and Regional Planning (Volume 6, Issue 4) |
| DOI | 10.11648/j.larp.20210604.14 |
| Page(s) | 87-92 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Informal Green Space, Urban Green Space, Google Street View, Ichikawa City, Chiba
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APA Style
Ta Duy Thong, Nguyen Van Lap, Katsunori Furuya. (2021). Assess the Distribution of Informal Green Space Using Google Street View in Ichikawa City, Japan. Landscape Architecture and Regional Planning, 6(4), 87-92. https://doi.org/10.11648/j.larp.20210604.14
ACS Style
Ta Duy Thong; Nguyen Van Lap; Katsunori Furuya. Assess the Distribution of Informal Green Space Using Google Street View in Ichikawa City, Japan. Landsc. Archit. Reg. Plan. 2021, 6(4), 87-92. doi: 10.11648/j.larp.20210604.14
AMA Style
Ta Duy Thong, Nguyen Van Lap, Katsunori Furuya. Assess the Distribution of Informal Green Space Using Google Street View in Ichikawa City, Japan. Landsc Archit Reg Plan. 2021;6(4):87-92. doi: 10.11648/j.larp.20210604.14
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Download@article{10.11648/j.larp.20210604.14,
author = {Ta Duy Thong and Nguyen Van Lap and Katsunori Furuya},
title = {Assess the Distribution of Informal Green Space Using Google Street View in Ichikawa City, Japan},
journal = {Landscape Architecture and Regional Planning},
volume = {6},
number = {4},
pages = {87-92},
doi = {10.11648/j.larp.20210604.14},
url = {https://doi.org/10.11648/j.larp.20210604.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.larp.20210604.14},
abstract = {The green space provides many benefits for social, environment and ecological for urban life. There is the need to develop a proper plan to ensure the well-being of residents by use other space as supplemental for urban green space (UGS). Informal green space (IGS) was long use as a solution for shortage of UGS and being used widely in recently years. However, it hardly analyzes and manages IGS efficient by traditional survey method because of its characteristics. Google street view (GSV) is a geospatial platform provided free large ground-based database 3600 photographs along streets that available on web interface. It is high possibility to use GSV in assess the distribution of IGS for managing and planning urban greenery and master plan. Ichikawa city, Chiba, Japan covers 57.45 km2 while provides about 7.28m2 green space area per capita, far from meet the requirement 10m2. By choosing this city, the field survey result of previous research could be used to compare to evaluate the accuracy of the remote sensing method. GSV images are downloaded by Street View Download 360 from the network of interval point along the road to detect IGS. After considering the time to acquire GSV and other factors, the 78 meters distance is chosen. The DeepLab V3+ is employed as a semantic segmentation tool and be trained to classify and labeled objects in pictures then separate IGS to surround environment. The map of IGS distribution will be produced from the output data of DeepLab V3+ by using ArcGIS. The final map will be compared with the data of IGS distribution that were recorded in the research of northern part of Ichikawa in 2020 to evaluate the efficiency of this method.},
year = {2021}
}
TY - JOUR T1 - Assess the Distribution of Informal Green Space Using Google Street View in Ichikawa City, Japan AU - Ta Duy Thong AU - Nguyen Van Lap AU - Katsunori Furuya Y1 - 2021/12/24 PY - 2021 N1 - https://doi.org/10.11648/j.larp.20210604.14 DO - 10.11648/j.larp.20210604.14 T2 - Landscape Architecture and Regional Planning JF - Landscape Architecture and Regional Planning JO - Landscape Architecture and Regional Planning SP - 87 EP - 92 PB - Science Publishing Group SN - 2637-4374 UR - https://doi.org/10.11648/j.larp.20210604.14 AB - The green space provides many benefits for social, environment and ecological for urban life. There is the need to develop a proper plan to ensure the well-being of residents by use other space as supplemental for urban green space (UGS). Informal green space (IGS) was long use as a solution for shortage of UGS and being used widely in recently years. However, it hardly analyzes and manages IGS efficient by traditional survey method because of its characteristics. Google street view (GSV) is a geospatial platform provided free large ground-based database 3600 photographs along streets that available on web interface. It is high possibility to use GSV in assess the distribution of IGS for managing and planning urban greenery and master plan. Ichikawa city, Chiba, Japan covers 57.45 km2 while provides about 7.28m2 green space area per capita, far from meet the requirement 10m2. By choosing this city, the field survey result of previous research could be used to compare to evaluate the accuracy of the remote sensing method. GSV images are downloaded by Street View Download 360 from the network of interval point along the road to detect IGS. After considering the time to acquire GSV and other factors, the 78 meters distance is chosen. The DeepLab V3+ is employed as a semantic segmentation tool and be trained to classify and labeled objects in pictures then separate IGS to surround environment. The map of IGS distribution will be produced from the output data of DeepLab V3+ by using ArcGIS. The final map will be compared with the data of IGS distribution that were recorded in the research of northern part of Ichikawa in 2020 to evaluate the efficiency of this method. VL - 6 IS - 4 ER -
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