Estimation of Steel Stock in Building and Civil Construction by Satellite Images
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- Hsu Feng Chi
- The University of Tokyo, Faculty of Engineering
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- Daigo Ichiro
- The University of Tokyo, Faculty of Engineering
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- Matsuno Yasunari
- The University of Tokyo, Faculty of Engineering
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- Elvidge Christopher
- National Oceanic and Atmospheric Administration, National Geophysical Data Center
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- Adachi Yoshihiro
- The University of Tokyo, Faculty of Engineering
Bibliographic Information
- Other Title
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- 衛星画像に基づいた建築および土木の鋼材ストック推計
- 衛星画像を用いた建築・土木における鋼材ストック推計
- エイセイ ガゾウ オ モチイタ ケンチク ドボク ニ オケル コウザイ ストック スイケイ
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Abstract
Material flow analysis has been applied to estimate flow and stock for materials in the world. However, applicability of traditional approaches heavily depends on data availability. To overcome this problem, we proposed a methodology for estimating steel stock based on satellite images. Previous studies have shown that satellite images of nighttime lights are closely correlated to human activities, such as electricity consumption, CO2 emission, GDP, which can also be linked to the amount of steel stock. This study uses nighttime light images in conjunction with GIS data such as land cover, which can farther refine the estimation.
Journal
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- Abstracts for ILCAJ meeting
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Abstracts for ILCAJ meeting 2010 (0), 81-81, 2010
The Institute of Life Cycle Assessment, Japan
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Details 詳細情報について
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- CRID
- 1390001205662380800
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- NII Article ID
- 130004598258
- 130000308117
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- NII Book ID
- AN10528571
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- ISSN
- 1341688X
- 18832954
- 00211575
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- COI
- 1:CAS:528:DC%2BC3cXhtVGgurbN
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- NDL BIB ID
- 10796810
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
