EXPLORATION OF OPEN DATA IN SOUTHEAST ASIA TO GENERATE 3D BUILDING MODELS

被引:27
作者
Biljecki, F. [1 ,2 ]
机构
[1] Natl Univ Singapore, Dept Architecture, Singapore, Singapore
[2] Natl Univ Singapore, Dept Real Estate, Singapore, Singapore
来源
ISPRS TC IV 3RD BIM/GIS INTEGRATION WORKSHOP AND 15TH 3D GEOINFO CONFERENCE 2020 | 2020年 / 6-4卷 / W1期
关键词
Volunteered geoinformation; OpenStreetMap; quality; completeness; 3D GIS; 3D city models; open data; QUALITY ASSESSMENT; CITY MODELS; OPENSTREETMAP; FOOTPRINTS;
D O I
10.5194/isprs-annals-VI-4-W1-2020-37-2020
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This article investigates the current status of generating 3D building models across 11 countries in Southeast Asia from publicly available data, primarily volunteered geoinformation (OpenStreetMap). The following countries are analysed: Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Timor-Leste, and Vietnam. This cross-country study includes multiple spatial levels of analysis: country, town, and micro-level (smaller neighbourhood). The main finding is that authoritative data to generate 3D building models is almost non-existent while building completeness in OpenStreetMap is highly heterogeneous, yielding location-dependent conclusions. While in general just a fraction of mapped buildings has height information and none of the administrative areas provides sufficient information to generate 3D building models, on a micro-level some areas are fully complete, providing a high potential to generate 3D building models on a precinct scale, which may be useful for certain spatial analyses. Furthermore, some areas have high building completeness, requiring only half of the work necessary for the extrusion: the collection of building height attributes. As a part of this work, a semantic 3D building model of a selected set of buildings in Singapore has been generated and released as open data (CityJSON), and the developed code was open-sourced.
引用
收藏
页码:37 / 44
页数:8
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