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Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster)

Research article (Frontiers in Built Environment, 2018) · cited 122× · AI/ML
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Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster)

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Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster) is a scholarly article[1].

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  • Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster)'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster). Retrieved May 24, 2026, from https://4ort.xyz/entity/solar-energy-potential-assessment-on-rooftops-and-facades-in-large-built-environments-based-on-lidar-data-image-processi
MLA “Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/solar-energy-potential-assessment-on-rooftops-and-facades-in-large-built-environments-based-on-lidar-data-image-processi.
BibTeX @misc{4ortxyz_solar-energy-potential-assessment-on-rooftops-and-facades-in-large-built-environments-based-on-lidar-data-image-processi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster)}}, year = {2026}, url = {https://4ort.xyz/entity/solar-energy-potential-assessment-on-rooftops-and-facades-in-large-built-environments-based-on-lidar-data-image-processi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster) — https://4ort.xyz/entity/solar-energy-potential-assessment-on-rooftops-and-facades-in-large-built-environments-based-on-lidar-data-image-processi (retrieved 2026-05-24)

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