Creating 3D city models of Mexican cities based on open data

Arroyo Ohori, Ken; Stoter, Jantien

doi:10.5194/isprs-archives-XLVIII-3-W4-2025-3-2026

Filling holes in LoD2 building models

Weixiao Gao, Ravi Peters, Hugo Ledoux, and Jantien Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W5-2024, 171–177, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-171-2024,https://doi.org/10.5194/isprs-annals-X-4-W5-2024-171-2024, 2024

Building-PCC: Building Point Cloud Completion Benchmarks

Weixiao Gao, Ravi Peters, and Jantien Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W5-2024, 179–186, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-179-2024,https://doi.org/10.5194/isprs-annals-X-4-W5-2024-179-2024, 2024

Enriching lower LoD 3D city models with semantic data computed by the voxelisation of BIM sources

Jasper van der Vaart, Jantien Stoter, Giorgio Agugiaro, Ken Arroyo Ohori, Amir Hakim, and Siham El Yamani

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W5-2024, 297–308, https://doi.org/10.5194/isprs-annals-X-4-W5-2024-297-2024,https://doi.org/10.5194/isprs-annals-X-4-W5-2024-297-2024, 2024

Enhancing Georeferencing of IFC Models through Surveyed Points Integration

Amir Hakim, Ken Arroyo Ohori, Jasper van der Vaart, Siham El Yamani, and Jantien Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W11-2024, 41–47, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-41-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-41-2024, 2024

BIM Legal: Implementation of a standard for Cadastral Registration of Apartment Complexes in 3D

Jantien Stoter, Abdoulaye Diakité, Marcel Reuvers, Doris Smudde, Jacques Vos, Ruben Roes, Jasper van der Vaart, Amir Hakim, and Siham El Yamani

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W11-2024, 111–120, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-111-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-111-2024, 2024

High resolution solar potential computation in large scale urban areas by means of semantic 3D city models

Longxiang Xu, Camilo León-Sánchez, Giorgio Agugiaro, and Jantien Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W11-2024, 167–174, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-167-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-167-2024, 2024

DEVELOPMENT AND TESTING OF THE CITYJSON ENERGY EXTENSION FOR SPACE HEATING DEMAND CALCULATION

Ö. Tufan, K. Arroyo Ohori, C. León-Sánchez, G. Agugiaro, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 169–176, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-169-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-169-2022, 2022

APPLYING VERSIONING TO MULTI-LOD 3D CITY MODELS

S. Vitalis, K. Arroyo Ohori, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-177-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-177-2022, 2022

ON THE INFLUENCE OF PARTY WALLS FOR URBAN ENERGY MODELLING

G. Agugiaro, A. Zwamborn, C. Tigchelaar, E. Matthijssen, C. León-Sánchez, F. van der Molen, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W5-2022, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-9-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-9-2022, 2022

CREATION OF A CITYGML-BASED 3D CITY MODEL TESTBED FOR ENERGY-RELATED APPLICATIONS

C. León-Sánchez, G. Agugiaro, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W5-2022, 97–103, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-97-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-97-2022, 2022

GEOBIM INFORMATION TO CHECK DIGITAL BUILDING PERMIT REGULATIONS

N. Hobeika, J. van Liempt, F. Noardo, K. Arroyo Ohori, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 529–535, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-529-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-529-2022, 2022

QUALITY ASSESSMENT OF A NATIONWIDE DATA SET CONTAINING AUTOMATICALLY RECONSTRUCTED 3D BUILDING MODELS

B. Dukai, R. Peters, S. Vitalis, J. van Liempt, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 17–24, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-17-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-17-2021, 2021

THE IMPACT OF LEVEL OF DETAIL IN 3D CITY MODELS FOR CFD-BASED WIND FLOW SIMULATIONS

C. García-Sánchez, S. Vitalis, I. Paden, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 67–72, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-67-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-67-2021, 2021

TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS

C. León-Sánchez, D. Giannelli, G. Agugiaro, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W1-2021, 69–76, https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-69-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-69-2021, 2021

AUTOMATIC CHANGE DETECTION OF DIGITAL MAPS USING AERIAL IMAGES AND POINT CLOUDS

F. Dahle, K. Arroyo Ohori, G. Agugiaro, and S. Briels

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 457–464, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-457-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-457-2021, 2021

SATELLITE-DERIVED BATHYMETRY USING CONVOLUTIONAL NEURAL NETWORKS AND MULTISPECTRAL SENTINEL-2 IMAGES

Y. A. Lumban-Gaol, K. A. Ohori, and R. Y. Peters

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 201–207, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-201-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-201-2021, 2021

VOLUME COMPARISON OF AUTOMATICALLY RECONSTRUCTED MULTI-LOD BUILDING MODELS FOR URBAN PLANNING APPLICATIONS

T. Q. Doan, C. León-Sánchez, R. Peters, G. Agugiaro, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 169–176, https://doi.org/10.5194/isprs-annals-V-4-2021-169-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-169-2021, 2021

Creating 3D city models of Mexican cities based on open data

Related authors

Useful Links

Useful External Links

Our Contact