Estimation of Building Stock Using Satellite Observation Data

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K12434
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 64050:Sound material-cycle social systems-related
• Research Institution: Osaka Metropolitan University (2022); Osaka Institute of Technology (2019-2021)
• Principal Investigator: SUGIMOTO Kenji 大阪公立大学, 大学院工学研究科, 准教授 (70596858)
• Co-Investigator(Kenkyū-buntansha): 秋山 祐樹 東京都市大学, 建築都市デザイン学部, 准教授 (60600054) ; 奥岡 桂次郎 岐阜大学, 社会システム経営学環, 准教授 (90714436)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 建物分布 / 夜間光 / SAR

Outline of Final Research Achievements

To realize a sustainable society, it is important to quantitatively evaluate the behavior of materials that are input, accumulated, and disposed of as a result of human activities. The objective of this research project is to quantify the spatial distribution of the stock of civil engineering structures using satellite observation data. Using building data and satellite observation data for Japan, a prefecture in the Kanto region (Ibaraki, Chiba, Saitama, Tokyo, and Kanagawa), we calculated an estimation equation for the total floor area of buildings. By applying the obtained formulas to cities in other countries, we were able to verify their accuracy and clarify issues. Specifically, the results showed that the total floor area was underestimated in areas with many high-rise buildings and overestimated in coastal industrial areas.

Free Research Field

空間情報科学

Academic Significance and Societal Importance of the Research Achievements

物質動態分析には経年の統計データが必要であるため，適用範囲は先進国が多く，人口増加と経済成長が著しい発展途上国では，データの入手可能性や精度が分析の制約となっていた．本研究課題により，人工衛星による観測データである夜間光とSARを用いることで，構造物の空間分布を推計可能であることを示した．ただし，高層建物が多い地域では過小推計になっていることから，今後この手法を拡張するとともに検証により推計精度を高めることができれば，世界全体のストック量分布を定量化でき，効率的な資源に向けた物質動態分析に資する基礎的なデータ整備として貢献できる．