Smart City Gnosys

Smart city article details

Title	Leveraging Lidar For Smart Cities Climate Change Resilient: A Solar Potential Case Study In A Developing Area
ID_Doc	35097
Authors	Rahman S.A.F.S.A.; Maulud K.N.A.; Hassan H.
Year	2023
Published	IOP Conference Series: Earth and Environmental Science, 1167, 1
DOI	http://dx.doi.org/10.1088/1755-1315/1167/1/012023
Abstract	Smart cities and solar energy are crucial components in climate change adaptation and sustainability. The interrelation with United Nations Sustainable Development Goals (SDGs) based on the 7th SDG goal, Affordable and Clean Energy for solar energy, and the 11th SDG goal, Sustainable Cities and Communities for smart cities, catalyze the research in this field. Unfortunately, there are some gaps in integrating smart cities and solar energy, especially in the elevation model and solar potential accuracy factors. It is essential because the highly accurate integrated model is enormously beneficial, especially for stakeholders. Therefore, this study is leveraging the Light Detection and Ranging (LiDAR) technology to provide high-resolution datasets for elevation models and create a precise 3D urban environment model for resilient integrated smart cities climate change. Digital terrain, including Digital Terrain Model and Digital Surface Model, were developed based on precise LiDAR point clouds before two vital surfaces, building rooftops and land parcels, were treated as a fundamental surface for solar potential calculation. The solar potential Return of Investment rate was classified and integrated with the 3D urban environment model. This 3D urban environment model helps visualize and provides a more specific and coherent picture of reality. The potential application of LiDAR data in climate change adaptation and sustainability that can be linked using various technologies and scales is also demonstrated in this study. © Published under licence by IOP Publishing Ltd.
Author Keywords	3D model; LiDAR; smart cities; solar potential

Similar Articles

Id	Similarity	Authors	Title	Published
8406	0.886	Waqas H.; Jiang Y.; Shang J.; Munir I.; Khan F.U.	An Integrated Approach For 3D Solar Potential Assessment At The City Scale	Remote Sensing, 15, 23 (2023)
13121	0.885	Jovanovic, D; Milovanov, S; Ruskovski, I; Govedarica, M; Sladic, D; Radulovic, A; Pajic, V	Building Virtual 3D City Model For Smart Cities Applications: A Case Study On Campus Area Of The University Of Novi Sad	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 9, 8 (2020)
60323	0.875	Uciechowska-Grakowicz A.; Herrera-Granados O.; Biernat S.; Bac-Bronowicz J.	Usage Of Airborne Lidar Data And High-Resolution Remote Sensing Images In Implementing The Smart City Concept	Remote Sensing, 15, 24 (2023)
27797	0.871	Ortega S.; Santana J.M.; Wendel J.; Trujillo A.; Murshed S.M.	Generating 3D City Models From Open Lidar Point Clouds: Advancing Towards Smart City Applications	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
6549	0.87	Oh G.H.	Advanced Spatial Categorization Of Buildings Based On Point Based Cloud Data Algorithms	Journal of Machine and Computing, 5, 2 (2025)
48226	0.867	Xue F.; Lu W.; Tan T.; Chen K.	Semantic Enrichment Of City Information Models With Lidar-Based Rooftop Albedo	Sustainable Buildings and Structures: Building a Sustainable Tomorrow - Proceedings of the 2nd International Conference in Sustainable Buildings and Structures, ICSBS 2019 (2020)
29260	0.855	Singh B.; Vig K.; Kaunert C.	Horizons Of Smart Data-Driven Technologies In Solar Photovoltaic Glass Illuminating Path To Smart Cities: Skylines Sdg 13 (Climate Action) Eliminating Environmental Snags	Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies (2024)
48301	0.854	Gamal A.; Zulkarnain F.; Indratmoko S.; Ardiansyah; Rohmah L.; Mushfiroh A.	Semi-Automatic Model For Detecting The Discrepancy Between Cadastral Data And Building Footprint Extraction Using Unmanned Aerial Vehicles (Uav) Lidar In The Perspective Of Smart City	1st International Conference on Technology, Engineering, and Computing Applications: Trends in Technology Development in the Era of Society 5.0, ICTECA 2023 (2023)
42020	0.854	Vigkos S.; Kosmopoulos P.G.	Photovoltaics Energy Potential In The Largest Greek Cities: Atmospheric And Urban Fabric Effects, Climatic Trends Influences And Socio-Economic Benefits	Energies, 17, 15 (2024)
41134	0.852	Merkle D.; Reiterer A.	Overview Of 3D Point Cloud Annotation And Segmentation Techniques For Smart City Applications	Proceedings of SPIE - The International Society for Optical Engineering, 12269 (2022)