Solar Energy Analysis, Buildings, Roofs

Chapter Contents (Back)
Building Recognition. Rooftop. Solar Energy. More the radiation analysis, not energy potential:
See also Solar Radiation, Solar Irradiance, Measurements.

Huang, Y.[Yan], Chen, Z.Q.[Zuo-Qi], Wu, B.[Bin], Chen, L.[Liang], Mao, W.Q.[Wei-Qing], Zhao, F.[Feng], Wu, J.P.[Jian-Ping], Wu, J.[Junhan], Yu, B.L.[Bai-Lang],
Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data,
RS(7), No. 12, 2015, pp. 15877.
DOI Link 1601

López-Fernández, L.[Luis], Lagüela, S.[Susana], Picón, I.[Inmaculada], González-Aguilera, D.[Diego],
Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform,
RS(7), No. 9, 2015, pp. 11226.
DOI Link 1511
Automatic Analysis and Classification of the Roof Surfaces for the Installation of Solar Panels Using a Multi-Data Source and Multi-Sensor Aerial Platform,
DOI Link 1504

Schuffert, S.[Simon], Voegtle, T.[Thomas], Tate, N.[Nicholas], Ramirez, A.[Alberto],
Quality Assessment of Roof Planes Extracted from Height Data for Solar Energy Systems by the EAGLE Platform,
RS(7), No. 12, 2015, pp. 15866.
DOI Link 1601

Le, T.B.[Tuan B.], Kholdi, D.[Danial], Xie, H.J.[Hong-Jie], Dong, B.[Bing], Vega, R.E.[Rolando E.],
LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas,
RS(8), No. 3, 2016, pp. 247.
DOI Link 1604

López-Fernández, L.[Luis], Lagüela, S.[Susana], Fernández, J.[Jesús], González-Aguilera, D.[Diego],
Automatic Evaluation of Photovoltaic Power Stations from High-Density RGB-T 3D Point Clouds,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706

Soilán, M.[Mario], Riveiro, B.[Belén], Liñares, P.[Patricia], Padín-Beltrán, M.[Marta],
Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Hanrieder, N.[Natalie], Ghennioui, A.[Abdellatif], Merrouni, A.A.[Ahmed Alami], Wilbert, S.[Stefan], Wiesinger, F.[Florian], Sengupta, M.[Manajit], Zarzalejo, L.[Luis], Schade, A.[Alexander],
Atmospheric Transmittance Model Validation for CSP Tower Plants,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Gašparovic, I.[Iva], Gašparovic, M.[Mateo],
Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907

Vo, A.V.[Anh Vu], Laefer, D.F.[Debra F.], Smolic, A.[Aljosa], Zolanvari, S.M.I.[S.M. Iman],
Per-point processing for detailed urban solar estimation with aerial laser scanning and distributed computing,
PandRS(155), 2019, pp. 119-135.
Elsevier DOI 1908
Solar potential, Laser scanning, Point cloud, Apache Spark, Big data, Distributed computing BibRef

Karoui, M.S.[Moussa Sofiane], Benhalouche, F.Z.[Fatima Zohra], Deville, Y.[Yannick], Djerriri, K.[Khelifa], Briottet, X.[Xavier], Houet, T.[Thomas], Le Bris, A.[Arnaud], Weber, C.[Christiane],
Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909

Prieto, I.[Iñaki], Izkara, J.L.[Jose Luis], Usobiaga, E.[Elena],
The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910

Principe, J.[Jeark], Takeuchi, W.[Wataru],
Supply and Demand Assessment of Solar PV as Off-Grid Option in Asia Pacific Region with Remotely Sensed Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910

Wang, M.[Min], Cui, Q.[Qi], Sun, Y.[Yujie], Wang, Q.[Qiao],
Photovoltaic panel extraction from very high-resolution aerial imagery using region-line primitive association analysis and template matching,
PandRS(141), 2018, pp. 100-111.
Elsevier DOI 1806
Photovoltaic panel, Object-based image analysis, Region-line primitive association framework, High-resolution imagery BibRef

Xiong, G.J.[Guo-Jiang], Zhang, J.[Jing], Shi, D.Y.[Dong-Yuan], Zhu, L.[Lin], Yuan, X.[Xufeng], Yao, G.[Gang],
Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912

Masoom, A.[Akriti], Kosmopoulos, P.[Panagiotis], Bansal, A.[Ankit], Kazadzis, S.[Stelios],
Solar Energy Estimations in India Using Remote Sensing Technologies and Validation with Sun Photometers in Urban Areas,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Tiwari, A.[Arti], Meir, I.A.[Isaac A.], Karnieli, A.[Arnon],
Object-Based Image Procedures for Assessing the Solar Energy Photovoltaic Potential of Heterogeneous Rooftops Using Airborne LiDAR and Orthophoto,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Supe, H.[Hitesh], Avtar, R.[Ram], Singh, D.[Deepak], Gupta, A.[Ankita], Yunus, A.P.[Ali P.], Dou, J.[Jie], Ravankar, A.A.[Ankit A.], Mohan, G.[Geetha], Chapagain, S.K.[Saroj Kumar], Sharma, V.[Vivek], Singh, C.K.[Chander Kumar], Tutubalina, O.[Olga], Kharrazi, A.[Ali],
Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Masoom, A.[Akriti], Kosmopoulos, P.[Panagiotis], Kashyap, Y.[Yashwant], Kumar, S.[Shashi], Bansal, A.[Ankit],
Rooftop Photovoltaic Energy Production Management in India Using Earth-Observation Data and Modeling Techniques,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Park, J.W.[Jin-Woong], Moon, J.[Jihoon], Jung, S.[Seungmin], Hwang, E.J.[Een-Jun],
Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Kim, M.H.[Min-Ho], Song, H.[Hunsoo], Kim, Y.[Yongil],
Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008

Zheng, Y.F.[Yuan-Fan], Weng, Q.[Qihao],
Modeling the Effect of Green Roof Systems and Photovoltaic Panels for Building Energy Savings to Mitigate Climate Change,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008

Liang, J.M.[Jian-Ming], Gong, J.H.[Jian-Hua], Xie, X.P.[Xiu-Ping], Sun, J.[Jun],
Solar3D: An Open-Source Tool for Estimating Solar Radiation in Urban Environments,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009

Sánchez-Aparicio, M.[María], del Pozo, S.[Susana], Martín-Jiménez, J.A.[Jose Antonio], González-González, E.[Enrique], Andrés-Anaya, P.[Paula], Lagüela, S.[Susana],
Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011

Doicu, A.[Adrian], Efremenko, D.S.[Dmitry S.], Trautmann, T.[Thomas],
A Spectral Acceleration Approach for the Spherical Harmonics Discrete Ordinate Method,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011

Kim, B.[Bowoo], Suh, D.J.[Dong-Jun],
A Hybrid Spatio-Temporal Prediction Model for Solar Photovoltaic Generation Using Numerical Weather Data and Satellite Images,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011

Kim, B.[Bowoo], Suh, D.J.[Dong-Jun], Otto, M.O.[Marc-Oliver], Huh, J.S.[Jeung-Soo],
A Novel Hybrid Spatio-Temporal Forecasting of Multisite Solar Photovoltaic Generation,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Lehneis, R.[Reinhold], Manske, D.[David], Thrän, D.[Daniela],
Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012

Albraheem, L.[Lamya], Alabdulkarim, L.[Leena],
Geospatial Analysis of Solar Energy in Riyadh Using a GIS-AHP-Based Technique,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106

Fountoulakis, I.[Ilias], Kosmopoulos, P.[Panagiotis], Papachristopoulou, K.[Kyriakoula], Raptis, I.P.[Ioannis-Panagiotis], Mamouri, R.E.[Rodanthi-Elisavet], Nisantzi, A.[Argyro], Gkikas, A.[Antonis], Witthuhn, J.[Jonas], Bley, S.[Sebastian], Moustaka, A.[Anna], Buehl, J.[Johannes], Seifert, P.[Patric], Hadjimitsis, D.G.[Diofantos G.], Kontoes, C.[Charalampos], Kazadzis, S.[Stelios],
Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Mikovits, C.[Christian], Schauppenlehner, T.[Thomas], Scherhaufer, P.[Patrick], Schmidt, J.[Johannes], Schmalzl, L.[Lilia], Dworzak, V.[Veronika], Hampl, N.[Nina], Sposato, R.G.[Robert Gennaro],
A Spatially Highly Resolved Ground Mounted and Rooftop Potential Analysis for Photovoltaics in Austria,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106

Zhang, Y.S.[Yun-Sheng], Dai, Z.S.[Zhi-Sheng], Wang, W.X.[Wei-Xi], Li, X.M.[Xiao-Ming], Chen, S.Y.[Si-Yang], Chen, L.[Li],
Estimation of the Potential Achievable Solar Energy of the Buildings Using Photogrammetric Mesh Models,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Hwang, Y.S.[Young-Seok], Schlüter, S.[Stephan], Park, S.I.[Seong-Il], Um, J.S.[Jung-Sup],
Comparative Evaluation of Mapping Accuracy between UAV Video versus Photo Mosaic for the Scattered Urban Photovoltaic Panel,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Amiranti, A.Y., Koeva, M.N., Kuffer, M., van Altena, V., Post, M.,
Investigating Standardized 3d Input Data for Solar Photovoltaic Potentials In the Netherlands,
DOI Link 2012

Oumekloul, Z., Achaoui, Y., Mir, A., Akjouj, A.,
Multi-layer WS2 and MOS2 Based Plasmonic Solar Cell for Smart Energy Harvesting,
DOI Link 2012

Dotenco, S., Dalsass, M., Winkler, L., Wurzner, T., Brabec, C., Maier, A., Gallwitz, F.,
Automatic detection and analysis of photovoltaic modules in aerial infrared imagery,
Cameras BibRef

Kanuk, J., Zubal, S., Šupinský, J., Šašak, J., Bombara, M., Sedlák, V., Gallay, M., Hofierka, J., Onacillová, K.,
Testing of V3.sun Module Prototype for Solar Radiation Modelling On 3d Objects With Complex Geometric Structure,
DOI Link 1912

Tunc, A., Tuncay, G., Alacakanat, Z., Sevimli, F.S.,
GIS Based Solar Power Plants Site Selection Using Analytic Hierarchy Process (AHP) in Istanbul, Turkey,
DOI Link 1912

Willenborg, B., Pültz, M., Kolbe, T.H.,
Integration of Semantic 3D City Models And 3D Mesh Models for Accuracy Improvements of Solar Potential Analyses,
DOI Link 1901

Mehta, S., Azad, A.P., Chemmengath, S.A., Raykar, V., Kalyanaraman, S.,
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels,
building integrated photovoltaics, computer vision, convolution, feedforward neural nets, image classification, Visualization BibRef

Buyuksalih, G., Bayburt, S., Baskaraca, A.P., Karim, H., Abdul Rahman, A.,
Calculating Solar Energy Potential of Buildings And Visualization Within Unity 3D Game Engine,
DOI Link 1805

Adeleke, A.K., Smit, J.L.,
Intergration Of Lidar Data With Aerial Imagery For Estimating Rooftop Solar Photovoltaic Potentials In City Of Cape Town,
ISPRS16(B7: 617-624).
DOI Link 1610

Aarsen, R., Janssen, M., Ramkisoen, M., Biljecki, F., Quak, W., Verbree, E.,
Installed Base Registration of Decentralised Solar Panels with Applications in Crisis Management,
DOI Link 1602

Nex, F., Remondino, F., Agugiaro, G., de Flippi, R., Poletti, M., Furlanello, C., Menegon, S., Dallago, G., Fontanari, S.,
3D Solarweb: A solar cadaster in the Italian Alpine landscape,
DOI Link 1402

Agugiaro, G., Nex, F., Remondino, F., de Filippi, R., Droghetti, S., Furlanello, C.,
Solar Radiation Estimation On Building Roofs And Web-based Solar Cadastre,
AnnalsPRS(I-2), No. 2012, pp. 177-182.
HTML Version. 1209

Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.,
Measurement of Large-scale Solar Power Plant by Using Images Acquired by Non-metric Digital Camera on Board UAV,
DOI Link 1209
Deformation measurements. BibRef

Lv, Y.[Yang], Zhang, X.F.[Xian-Feng], Liu, Y.[Yu],
Solar energy potential mapping at a building scale,
analyze potential shadowing BibRef

Blakey, A.[Andrew], Feick, R.[Robert],
Exploring rooftop photovoltaic cell feasibility through web-GIS,
PDF File. 1006

Jochem, A.[Andreas], Höfle, B.[Bernhard], Hollaus, M.[Markus], Rutzinger, M.[Martin],
Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas,
Laser09(1). 0909

Voegtle, T., Steinle, E., Tävári, D.,
Airborne laserscanning data for determination of suitable areas for photovoltaics,
PDF File. 0509

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Energy Usage, Energy Efficiency, Buildings, Roofs .

Last update:Aug 2, 2021 at 20:26:03