An approach to urban building height and floor estimation by using LiDAR data

Erener, Arzu; Sarp, Gulcan; Karaca, Muhammet İbrahim

doi:10.1007/s12517-020-06006-1

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…Most point cloud-based DT studies focus on building reconstruction in boundary representation (b-rep) form (e.g., façade segmentation and building outline extraction) [62,123,210] and share similar methodologies: (1) they assign point data with semantical labels (e.g., window, door, and roof) and ( 2) use AI to deal with the large data volume and increase classification accuracy [62,105,111,129,131,132]. Other studies focus on topics such as visibility analysis [61,126], smart city [170], and indoor pathing [125].…”

Section: Point Cloud-based Dtmentioning

confidence: 99%

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Ying

Koeva

Kuffer

et al. 2022

IJGI

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Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban expansion and densification processes reshape cities and, in particular, the third dimension (3D), thus calling for a technical shift from 2D to 3D for property valuation. However, most property valuation studies employ 2D geoinformation in hedonic price models, while the benefits of 3D modelling potentially brought for property valuation and the general context of digital twin (DT) creation are not sufficiently explored. Therefore, this review aims to identify appropriate urban 3D modelling method(s) for city DT, which can be used for 3D property valuation (3DPV) in the future (both short-term and long-term). We focused on 3D modelling studies investigating buildings and urban elements directly linked with residential properties. In total, 180 peer-reviewed journal papers were selected between 2016 and 2020 with a narrative review approach. Analytical criteria for 3D modelling methods were explicitly defined and covered four aspects: metadata, technical characteristics, users’ requirements, and ethical considerations. From this, we derived short-term and long-term prospects for 3DPV. The results provide references for integrating 3D modelling and DT in property valuation and call for interdisciplinary collaboration including researchers and stakeholders in the real estate sector, such as real estate companies, house buyers and local governments.

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Section: Point Cloud-based Dtmentioning

confidence: 99%

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Ying

Koeva

Kuffer

et al. 2022

IJGI

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“…Another technique to estimate building height is represented by utilizing LiDAR data [29][30][31]. Recently, a study [32] aimed to develop a methodological framework to retrieve building height from ICESat-2 data (Ice, Cloud, and land Elevation Satellite) that employ photon-counting LiDAR to collect Earth surface elevation data globally.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of the Building Height Copernicus Data Layer: A Case Study of Bratislava, Slovakia

Szatmári

Kopecká

Feranec

2022

Land

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High buildings have generally changed the morphology of cities in recent decades, and they have a significant impact on multiple processes in the urban area. Building height is one of the criteria for urban land cover classification in local climate zone delineation and urban heat island modeling. The European Union’s Earth observation program Copernicus aims to achieve a global, continuous, autonomous, high-quality, wide-range Earth observation capacity. One of the most recent Urban Atlas layers is the Building Height 2012 (BH2012) layer released in 2018, which consists of a 10 m resolution raster layer containing height information generated for core urban areas of the capitals of the EEA38 countries and the United Kingdom. This contribution aims to present the accuracy validation of the BH2012 data in Bratislava using the Slovak Basic Database for the Geographic Information System (ZBGIS). To compare the two datasets, four different tests were performed for the following group of landmark buildings: (i) with area > 100 m2, (ii) in Urban Atlas classes with soil sealing > 10%, (iii) with height > 50 m, (iv) with area > 1 ha. The results demonstrate the effect of the building’s area and compactness on the vertical accuracy of the BH2012 Copernicus data. The greater the building’s area and compactness, the smaller the difference between its height value in BH2012 and ZBGIS. The Urban Atlas class 11100 Continuous Urban Fabric (soil sealing: >80%) recorded the lowest vertical accuracy. The BH2012 database provides sufficiently accurate data for primary planning analyses of public administration bodies and various stakeholders who need to obtain information on the nature of a locality for development activities and small-scale environmental analyses. However, for detailed studies focusing on the quality of life in cities at the local level, more precise identification of the building height is recommended.

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A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree

et al. 2022

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An approach to urban building height and floor estimation by using LiDAR data

Cited by 8 publications

References 20 publications

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation

Accuracy Assessment of the Building Height Copernicus Data Layer: A Case Study of Bratislava, Slovakia

A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree

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