EXHAUSTIVE ANALYSIS OF LOCAL LANDSCAPE FOR WIDE-AREA USING PANORAMA IMAGE OF GOOGLE STREET VIEW
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- ASADA Takumi
- 室蘭工業大学 大学院工学研究科
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- KAMEYAMA Shuichi
- 北海道科学大学 工学部都市環境学科
Bibliographic Information
- Other Title
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- Googleストリートビューのパノラマ画像を用いた広域・網羅的な地域景観分析
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Abstract
In this study, we have analyzed the characteristics of road landscape distribution in Furano-Biei area using panorama image from Google street view. First, the road landscapes were classified into 5 clusters based on the fractal dimension, sky share, and greenery share of 4 direction images from Google street view by applying the cluster analysis, and then the road landscape clusters distribution in target area was easily visualized. Furthermore, we reveled the road landscape characteristics in the area including the structural , diversity, and relationship with land use of landscape in individual area. It was shown that the effectiveness of the method for analysis of regional landscape.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
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Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 72 (5), I_383-I_392, 2016
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390282680331999232
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- NII Article ID
- 130005435634
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- NII Book ID
- AA12557874
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- ISSN
- 21856540
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- HANDLE
- 10258/00009668
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed