3D Modelling for Property Valuation in China: A High-resolution Remote Sensing-based Approach

Yue Ying, M.N. Koeva, M. Kuffer, K.O. Asiama

Research output: Contribution to journalArticleProfessional

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Abstract

Rapid urban development in China has transformed the cityscapes, with a dramatic increase in high-rise buildings. However, the current 2D property valuation methods neglect the vertical dimension, even though that aspect contains significant indicators that impact property value – such as types of views, scope of vision and daylight. 3D modelling of geographical data can help to change this in high-rise and highly-density areas, going beyond 2D to enable identification of complex property characteristics in the vertical dimension too. This article presents research to explore a 3D modelling approach using remote sensing data for more precise property valuation.
Original languageEnglish
Number of pages3
JournalGIM International
Publication statusPublished - 26 Sep 2019

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valuation
Remote sensing
remote sensing
urban development
modeling
method
high-rise building
indicator

Keywords

  • ITC-GOLD

Cite this

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3D Modelling for Property Valuation in China : A High-resolution Remote Sensing-based Approach. / Ying, Yue ; Koeva, M.N.; Kuffer, M.; Asiama, K.O.

In: GIM International, 26.09.2019.

Research output: Contribution to journalArticleProfessional

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AU - Asiama, K.O.

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AB - Rapid urban development in China has transformed the cityscapes, with a dramatic increase in high-rise buildings. However, the current 2D property valuation methods neglect the vertical dimension, even though that aspect contains significant indicators that impact property value – such as types of views, scope of vision and daylight. 3D modelling of geographical data can help to change this in high-rise and highly-density areas, going beyond 2D to enable identification of complex property characteristics in the vertical dimension too. This article presents research to explore a 3D modelling approach using remote sensing data for more precise property valuation.

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