22.4.2.1 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
BibRef

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
BibRef
Earlier:
Automatic Analysis and Classification of the Roof Surfaces for the Installation of Solar Panels Using a Multi-Data Source and Multi-Sensor Aerial Platform,
3D-Arch15(171-178).
DOI Link 1504
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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


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,
WACV16(1-9)
IEEE DOI 1606
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,
GeoInfo19(35-40).
DOI Link 1912
BibRef

Tunc, A., Tuncay, G., Alacakanat, Z., Sevimli, F.S.,
GIS Based Solar Power Plants Site Selection Using Analytic Hierarchy Process (AHP) in Istanbul, Turkey,
SmartGeoApps19(1353-1360).
DOI Link 1912
BibRef

Willenborg, B., Pültz, M., Kolbe, T.H.,
Integration of Semantic 3D City Models And 3D Mesh Models for Accuracy Improvements of Solar Potential Analyses,
GeoInfo18(223-230).
DOI Link 1901
BibRef

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,
WACV18(333-342)
IEEE DOI 1806
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,
GeoDisast17(39-44).
DOI Link 1805
BibRef

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
BibRef

Aarsen, R., Janssen, M., Ramkisoen, M., Biljecki, F., Quak, W., Verbree, E.,
Installed Base Registration of Decentralised Solar Panels with Applications in Crisis Management,
Gi4DM15(219-223).
DOI Link 1602
BibRef

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,
SSG13(173-178).
DOI Link 1402
BibRef

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
BibRef

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,
ISPRS12(XXXIX-B1:435-440).
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,
CVRS12(383-386).
IEEE DOI 1302
analyze potential shadowing BibRef

Blakey, A.[Andrew], Feick, R.[Robert],
Exploring rooftop photovoltaic cell feasibility through web-GIS,
CGC10(319).
PDF File. 1006
BibRef

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
BibRef

Voegtle, T., Steinle, E., Tävári, D.,
Airborne laserscanning data for determination of suitable areas for photovoltaics,
Laser05(xx-yy).
PDF File. 0509
BibRef

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


Last update:Dec 7, 2019 at 17:16:29