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INTERGRATION OF LiDAR DATA WITH AERIAL IMAGERY FOR ESTIMATING ROOFTOP SOLAR PHOTOVOLTAIC POTENTIALS IN CITY OF CAPE TOWN

A. K. Adeleke, J. L. Smit
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Two main processes were involved: (1) automatic extraction of building roofs using the integration of LiDAR data and aerial imagery in order to derive its' outline and areal coverage; and (2) estimating  ...  This paper presents methodologies making use of LiDAR data and other ancillary data, such as high-resolution aerial imagery, to automatically extract building rooftops in City of Cape Town and evaluate  ...  Both approaches make use of elevation models derived from LiDAR data together with the aerial imagery.  ... 
doi:10.5194/isprsarchives-xli-b7-617-2016 fatcat:rigzx5fjyzc2pk4dj4mqz6a3cq

INTERGRATION OF LiDAR DATA WITH AERIAL IMAGERY FOR ESTIMATING ROOFTOP SOLAR PHOTOVOLTAIC POTENTIALS IN CITY OF CAPE TOWN

A. K. Adeleke, J. L. Smit
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Two main processes were involved: (1) automatic extraction of building roofs using the integration of LiDAR data and aerial imagery in order to derive its' outline and areal coverage; and (2) estimating  ...  This paper presents methodologies making use of LiDAR data and other ancillary data, such as high-resolution aerial imagery, to automatically extract building rooftops in City of Cape Town and evaluate  ...  Both approaches make use of elevation models derived from LiDAR data together with the aerial imagery.  ... 
doi:10.5194/isprs-archives-xli-b7-617-2016 fatcat:b4yhikeqvfbrrhin5w4wvwh4ku

GEOSPATIAL DATA PROCESSING FOR 3D CITY MODEL GENERATION, MANAGEMENT AND VISUALIZATION

I. Toschi, E. Nocerino, F. Remondino, A. Revolti, G. Soria, S. Piffer
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Both spatial (i.e. nadir and oblique imagery) and non-spatial (i.e. cadastral information and building energy consumptions) data are collected and used as input for the project workflow, starting from  ...  State-of-the-art processing solutions are investigated in order to (i) efficiently exploit the photogrammetric workflow (aerial triangulation and dense image matching), (ii) derive topologically and geometrically  ...  Authors acknowledge Vermessung AVT and Vexcel Imaging for providing the aerial data over the pilot areas.  ... 
doi:10.5194/isprs-archives-xlii-1-w1-527-2017 fatcat:ixh6k7welfcc5psfvknbtfvjha

Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images [article]

Hasan Nasrallah, Abed Ellatif Samhat, Yilei Shi, Xiaoxiang Zhu, Ghaleb Faour, Ali J. Ghandour
2022 arXiv   pre-print
Lebanon's total solar rooftop potential is about 28.1 TWh/year, two times larger than the national energy consumption in 2019.  ...  Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently.  ...  Buildings' Segmentation Several techniques tackle the problem of buildings segmentation from aerial imagery.  ... 
arXiv:2111.11397v6 fatcat:qbhrtiyek5b4vdghfupirdq66q

Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes [chapter]

John R. Jensen, Dave C. Cowen
2011 The Map Reader  
Large-scale metric aerial photography or digital camera imagery with spatial resolutions ranging from I 0.25 to 1 m will still be required to satisfy several important urban/suburban information requirements  ...  Temporal and spatial resolution requirements for extracting urban/suburban infrastructure and socio-economic attributes from remote sen.& data are presented.  ...  Regional and national energy consumption may be predicted using DMSP imagery (Welch, 1980) .  ... 
doi:10.1002/9780470979587.ch22 fatcat:y3fpinmewradnofw6757b63dce

Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

Jordan M. Malof, Kyle Bradbury, Leslie M. Collins, Richard G. Newell
2016 Applied Energy  
The method is validated using a very large (135 km^2) collection of publicly available [1] aerial imagery, with over 2,700 human annotated PV array locations.  ...  These results are the first of their kind for the detection of solar PV in aerial imagery, demonstrating the feasibility of the approach and establishing a baseline performance for future investigations  ...  This could be pursued, for example, by estimating the volume of a household from aerial imagery.  ... 
doi:10.1016/j.apenergy.2016.08.191 fatcat:yt3g72anajgsdemmzfhwyzsypm

The Urban Rooftop Photovoltaic Potential Determination

Elham Fakhraian, Marc Alier, Francesc Valls Dalmau, Alireza Nameni, Maria José Casañ Guerrero
2021 Sustainability  
Urban areas can be considered high-potential energy producers alongside their notable portion of energy consumption.  ...  While the precise knowledge of electricity production from solar energy resources as well as the needed parameters to define the optimal locations require an adequate study, effective guidelines for optimal  ...  Aerial imagery, weather, GIS, and LIDAR data are used as quickscan method inputs data.  ... 
doi:10.3390/su13137447 fatcat:j5swlgeme5epberpnnucyops7m

A geographic information method for managing urban energy use

Antonio Gagliano, Francesco Nocera, Maurizio Detommaso, Catalina Spataru
2017 Proceedings of the Institution of Civil Engineers : Bridge Engineering  
This method will help municipalities estimate and monitor the energy consumption of residential, commercial and industrial buildings and, by taking into account the approaches of different stakeholders  ...  The method was used to help develop a sustainable energy action plan for the municipality of Randazzo in Sicily, Italy, by providing an accurate representation of actual energy consumption.  ...  light, appliances, building automation systems A geographic information method for managing urban energy use Gagliano, Nocera, Detommaso and Spataru production of thermal and electrical energy from  ... 
doi:10.1680/jensu.15.00052 fatcat:kxlsa3ef4zgkzhilptbpgizx7e

VIRTUAL 3D CITY MODELING: TECHNIQUES AND APPLICATIONS

S. P. Singh, K. Jain, V. R. Mandla
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
., (2010) studied the energy consumption by using 3D city model. They discussed about dynamic features.  ...  In this project, a 3D city model is enhanced into an energy system that allows politicians as well as citizens to visualize and understand the change of energy consumption and energy sources in an urban  ... 
doi:10.5194/isprsarchives-xl-2-w2-73-2013 fatcat:jfl2rrditjaenceqf6oo7qctf4

Advances in remote sensing applications for urban sustainability

Nada Kadhim, Monjur Mourshed, Michaela Bray
2016 Euro-Mediterranean Journal for Environmental Integration  
, such as solar, wind, and geothermal energy.  ...  Growing interests in renewable energy have also resulted in the increased use of remote sensing-for planning, operation, and maintenance of energy infrastructures, in particular the ones with spatial variability  ...  Acknowledgments This research has been funded by a grant from the Higher Committee of Education Development (HCED) in Iraq.  ... 
doi:10.1007/s41207-016-0007-4 fatcat:lqtm3fzalzbdfiy5aegzhdzhia

Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning

Sebastian Krapf, Nils Kemmerzell, Syed Khawaja Haseeb Khawaja Haseeb Uddin, Manuel Hack Hack Vázquez, Fabian Netzler, Markus Lienkamp
2021 Energies  
Recent advances in deep learning allow the required roof information from aerial images to be extracted.  ...  We calculated the internal rate of return of each roof segment for 71 buildings in a small study area.  ...  The yearly energy consumption is estimated by multiplying the building area with the specific consumption per square meter.  ... 
doi:10.3390/en14133800 fatcat:wv5get22trao3pirhjlfatqooy

Roof Age Determination for the Automated Site-Selection of Rooftop Solar [article]

Chris Heinrich, Michael Laskin, Simas Glinskis, Evert van Nieuwenburg
2020 arXiv   pre-print
In this paper we present a data-driven method for determining the age of a roof from historical satellite imagery, which removes one of the last obstacles to a fully automated pipeline for rooftop solar  ...  One of the most important criteria for determining the suitability of a building for rooftop solar is the current age of its roof.  ...  Another component of the site-selection problem involves estimating a building owner's current electricity bill by estimating the energy consumption of the building, to which ML has been applied in Refs  ... 
arXiv:2001.04227v1 fatcat:3e3qcyakvrb5vp4ljd444umcly

Estimation of Solar Energy Potential from Rooftop of Punjab Government Servants Cooperative Housing Society Lahore Using GIS

Muhammad Luqman, Sajid Rashid Ahmad, Samiullah Khan, Usman Ahmad, Ahmad Raza, Farkhanda Akmal
2015 Smart Grid and Renewable Energy  
The monthly total energy consumption of the society is 347,140 kWh which is only 11% of energy production from PV solar panels.  ...  As the estimated energy is 9 times than the energy demand of the society, extra energy can be used in local/national electricity transmission grid.  ...  the total energy consumption from all houses.  ... 
doi:10.4236/sgre.2015.65012 fatcat:kxyqclihdrdadapsnvpdj73osu

Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators [article]

R.L. Curier, T.J.A. De Jong, Katharina Strauch, Katharina Cramer, Natalie Rosenski, Clara Schartner, M. Debusschere, and Hannah Ziemons, Deniz Iren, Stefano Bromuri
2018 arXiv   pre-print
This project's aim is twofold: First automate the process to extract the location of solar panels from aerial or satellite images and second, produce a map of solar panels along with statistics on the  ...  This makes the task of assessing the impact of renewable energies an impossible task. Although models of the output of a region exist, they are often black box estimations.  ...  To this end, big investments are made to develop smart renewable energy systems at all levels and current regulations focus on incremental measures to reduce energy consumption and greenhouse gas emissions  ... 
arXiv:1810.04881v1 fatcat:h3rnslcg7va3dhflbywtl4pgw4

A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

Diane Palmer, Elena Koumpli, Ian Cole, Ralph Gottschalg, Thomas Betts
2018 Energies  
and aerial photographs.  ...  Hence a different approach is developed, based on slope and aspect using aircraft-based Light Detection and Ranging (LiDAR) data, building footprint data, GIS (Geographical Information Systems) tools,  ...  This requires all cities to increase the supply of green energy and change consumption patterns. Knowledge of quantity and output timing of solar energy becomes increasingly important.  ... 
doi:10.3390/en11123506 fatcat:u2ui7tlgyrb5velte5eyvd2dcu
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