remotesensing-logo

Journal Browser

Journal Browser

3D City Modelling and Remote Sensing: Advances, Challenges, and New Technologies (Second Edition)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 3240

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computer and Systems Sciences (DSV), Stockholm University, SE-106 91 Stockholm, Sweden
Interests: geographic information systems; business–IT alignment; strong background in academics and university–industry framework supported by distinctive field experience in project management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Urban Planning Engineering Department, An-Najah National University, Nablus P.O. Box 7, Palestine
2. Chair of Geoinformatics, TUM Department of Aerospace and Geodesy, Technical University of Munich, Munich, Germany
Interests: BIM/GIS integration; GIS for built environments; information architecture; urban dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are launching the second Special Issue of Remote Sensing, titled “3D City Modelling and Remote Sensing: Advances, Challenges, and New Technologies”.

Today, digital societies are largely dependent on information. However, several tasks in urban and architectural design are undertaken in a geospatial context. Building information models (BIMs) and geospatial technologies offer 3D city models that provide information about buildings and the surrounding environment. A 3D city model is generally defined as a digital representation of the Earth’s surface and the built environment within a city. Using such a model, a variety of applications can be created, including ones that cover the whole city or focus on a specific building model. As models become more detailed, the relationships between the spatial objects have to be modelled.

The recent developments in technology, especially in the restoration and storage of data, have introduced several advantages for the construction of more detailed city models that can be used in different applications. As a result, two domains, BIM and GIS, are moving closer to each other in terms of easier integration and interoperability processes between them. BIM-GIS integration provides a unified view of geospatial information and is seen as the future development of urban planning and smart city applications.

As a result of the increasing demands for integrated views and data standards in urban planning, unified applications have received great amounts of attention at both the national and international levels. At the EU level, different initiatives, such as the Infrastructure for Spatial Information in the European Community (INSPIRE) directive (European Commission—INSPIRE, 2007–2021), have suggested building common geospatial applications for EU countries based on BIM-GIS integration. This has contributed to smart cities having different applications in smart planning, end-to-end solutions, services, management, sustainable practices, outcomes and policy making, emergency, and security, among others. In a smart city ecosystem, the geospatial structure can serve any or all of the above functions.

Research and development in the above-described areas is sought for this Special Issue on “3D City Modelling and Remote Sensing: Advances, Challenges, and New Technologies”. Potential topics include, but are in no way limited to, the following:

  • Three-dimensional city modelling;
  • BIM-GIS integration;
  • Urbanization and settlements;
  • The sustainable development of cities;
  • Smart cities and regions;
  • Different applications of 3D city modelling (e.g., 3D cadastre, crisis management, etc.).

Dr. Mohamed El Mekawy
Dr. Ihab Hamzi Hijazi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • three-dimensional city models
  • BIM-GIS integration
  • urbanization
  • smart cities
  • crisis management
  • artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

39 pages, 57708 KiB  
Article
Sensitivity Analysis of Sentinel-2 Imagery to Assess Urban Tree Functional Traits: A Physical Approach Based on Local Climate Zones
by Théo Le Saint, Jean Nabucet, Sidonie Lefebvre, Jean-Philippe Gastellu-Etchegorry, Laurence Hubert-Moy and Karine Adeline
Remote Sens. 2024, 16(23), 4402; https://doi.org/10.3390/rs16234402 - 25 Nov 2024
Viewed by 1558
Abstract
Urban trees contribute to urban well-being but face challenging environments that can reduce their lifespan and increase young tree mortality. Although many studies have used remote sensing data to monitor the functional status of trees in rural areas, few have done so in [...] Read more.
Urban trees contribute to urban well-being but face challenging environments that can reduce their lifespan and increase young tree mortality. Although many studies have used remote sensing data to monitor the functional status of trees in rural areas, few have done so in urban areas to assess the health or estimate the biomass of large green areas. This study assessed the suitability of using Sentinel-2 images to characterize two urban tree functional traits—leaf chlorophyll content (Cab) and leaf area density (LAD)—in isolated trees and tree rows. Simulated Sentinel-2 images were generated using the DART radiative transfer model, considering 16 tree-endogenous and 14 tree-exogenous parameters, with 15 vegetation indices (VIs) analyzed. Sensitivity analysis was performed in four contrasting urban environments using local climate zone taxonomy. The accuracy of the simulated images was validated with real Sentinel-2 images, field measurements, and ancillary data collected for four tree species in Rennes, France. The results showed that the tree parameters significantly influenced Sentinel-2 spectral bands, with NGBDI and OSAVI VIs being most sensitive to Cab and LAD. The model showed high accuracy, with a mean RMSE of 0.016 for key spectral bands. The results also highlighted the importance of considering ancillary data to capture specific urban characteristics. Full article
Show Figures

Figure 1

21 pages, 15517 KiB  
Article
3D Reconstruction of Building Blocks Based on Extraction of Exterior Wall Lines Using Point Cloud Density Generated from Spherical Camera Images
by Qazale Askari, Hossein Arefi and Mehdi Maboudi
Remote Sens. 2024, 16(23), 4377; https://doi.org/10.3390/rs16234377 - 23 Nov 2024
Viewed by 1193
Abstract
The 3D modeling of urban buildings has become a common research area in various disciplines such as photogrammetry and computer vision, with different applications such as intelligent city management, navigation of self-driving cars and architecture, just to name a few. The objective of [...] Read more.
The 3D modeling of urban buildings has become a common research area in various disciplines such as photogrammetry and computer vision, with different applications such as intelligent city management, navigation of self-driving cars and architecture, just to name a few. The objective of this study is to produce a 3D model of the external facade of the buildings with the required precision, accuracy and level of detail according to the user’s requirements, while minimizing time and cost. This research focuses on the production of 3D models for blocks of residential buildings in Tehran, Iran. The Insta 360 One X2 spherical camera is selected to capture the data due to its low cost and 360 × 180° field of view. The camera specifications have facilitated more efficient data collection in terms of both time and cost. The proposed modeling method is based on extracting lines of external walls through the utilization of the point cloud density concept. Initially, photogrammetric point clouds are generated in with a reconstruction precision of 0.24 m from spherical camera images. In the next step, the 3D point cloud is projected into a 2D point cloud by setting the height component to zero. The 2D point cloud is then rotated based on the direction angle determined by the Hough transform so that the perpendicular walls are parallel to the axes of the coordinate system. Next, a 2D point cloud density analysis is performed by voxelizing the point cloud and counting the number of points in each voxel in both the horizontal and vertical directions. By determining the peaks in the density plot, the lines of the external vertical and horizontal walls are extracted. To extract the diagonal external walls, the density analysis is performed in the direction of the first principal component. Finally, by determining the height of each wall in the point cloud, a 3D model is created at the level of detail one. The resulting model has a precision of 0.32 m compared to real sizes, and the 2D plan has a precision of 0.31 m compared to the ground truth map. The use of the spherical camera and point cloud density analysis makes this method efficient and cost-effective, making it a promising approach for future urban modeling projects. Full article
Show Figures

Figure 1

Back to TopTop