{"Page SDG":"SDG07 Affordable and clean energy","Page URL":"https://www.appropedia.org/Using_LiDAR_to_assess_rooftop_solar_photovoltaic_potential_on_a_large_scale","Page affiliations":"Category:MOST","Page authors":"User:J.M.Pearce, Ha T. Nguyen, Rob Harrap, Gerald Barber","Page description":"A methodology is provided for the application of Light Detection and Ranging (LiDAR) to automated  (PV) deployment analysis on the regional scale. Challenges in urban information extraction and management for solar PV deployment assessment are determined and quantitative solutions are offered. This paper provides the following contributions:\n(i) a methodology that is consistent with recommendations from existing literature advocating the integration of cross-disciplinary competences in remote sensing (RS), , computer vision and urban environmental studies;\n(ii) a robust methodology that can work with low-resolution, incomprehensive data and reconstruct vegetation and building separately, but concurrently;\n(iii) recommendations for future generation of software.","Page image":"File:Lidar.png","Page keywords":"MOST completed projects and publications, GIS, Photovoltaics","Page language":"en","Page license":"CC-BY-SA-3.0","Page title":"Using LiDAR to assess rooftop solar photovoltaic potential on a large scale","Page title tag":"LiDAR Assessment of Rooftop PV Potential","Page views":"279","Page year":"Sunday, 01-Jan-12 00:00:00 UTC","Modification date":"Friday, 28-Nov-25 00:06:54 UTC"}