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.J.[Yu-Jie],
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.F.[Xu-Feng],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Zheng, Y.F.[Yuan-Fan],
Weng, Q.H.[Qi-Hao],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Dumka, U.C.[Umesh Chandra],
Kosmopoulos, P.G.[Panagiotis G.],
Ningombam, S.S.[Shantikumar S.],
Masoom, A.[Akriti],
Impact of Aerosol and Cloud on the Solar Energy Potential over the
Central Gangetic Himalayan Region,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Kim, C.K.[Chang Ki],
Kim, H.G.[Hyun-Goo],
Kang, Y.H.[Yong-Heack],
Yun, C.Y.[Chang-Yeol],
Kim, B.[Boyoung],
Kim, J.Y.[Jin Young],
Solar Resource Potentials and Annual Capacity Factor Based on the
Korean Solar Irradiance Datasets Derived by the Satellite Imagery
from 1996 to 2019,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Acquaah, Y.T.[Yaa Takyiwaa],
Gokaraju, B.[Balakrishna],
Tesiero, R.C.[Raymond C.],
Monty, G.H.[Gregory H.],
Thermal Imagery Feature Extraction Techniques and the Effects on
Machine Learning Models for Smart HVAC Efficiency in Building Energy,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Zhang, X.[Xunhe],
Zeraatpisheh, M.[Mojtaba],
Rahman, M.M.[Md Mizanur],
Wang, S.J.[Shu-Jian],
Xu, M.[Ming],
Texture Is Important in Improving the Accuracy of Mapping
Photovoltaic Power Plants: A Case Study of Ningxia Autonomous Region,
China,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Hwang, Y.S.[Young-Seok],
Schlüter, S.[Stephan],
Lee, J.J.[Jung-Joo],
Um, J.S.[Jung-Sup],
Evaluating the Correlation between Thermal Signatures of UAV Video
Stream versus Photomosaic for Urban Rooftop Solar Panels,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Lu, X.[Xiu],
Li, G.N.[Guan-Nan],
Wang, A.D.[An-Dong],
Xiong, Q.Q.[Qing-Qin],
Lin, B.X.[Bing-Xian],
Lv, G.N.[Guo-Nian],
Estimating the Photovoltaic Potential of Building Facades and Roofs
Using the Industry Foundation Classes,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Dumka, U.C.[Umesh Chandra],
Kosmopoulos, P.G.[Panagiotis G.],
Patel, P.N.[Piyushkumar N.],
Sheoran, R.[Rahul],
Can Forest Fires Be an Important Factor in the Reduction in Solar
Power Production in India?,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Lehneis, R.[Reinhold],
Manske, D.[David],
Schinkel, B.[Björn],
Thrän, D.[Daniela],
Spatiotemporal Modeling of the Electricity Production from Variable
Renewable Energies in Germany,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Huang, X.X.[Xiao-Xun],
Hayashi, K.[Kiichiro],
Matsumoto, T.[Toshiki],
Tao, L.W.[Lin-Wei],
Huang, Y.[Yue],
Tomino, Y.[Yuuki],
Estimation of Rooftop Solar Power Potential by Comparing Solar
Radiation Data and Remote Sensing Data: A Case Study in Aichi, Japan,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Alonso-Montesinos, J.[Joaquín],
Monterreal, R.[Rafael],
Fernandez-Reche, J.[Jesus],
Ballestrín, J.[Jesús],
López, G.[Gabriel],
Polo, J.[Jesús],
Barbero, F.J.[Francisco Javier],
Marzo, A.[Aitor],
Portillo, C.[Carlos],
Batlles, F.J.[Francisco Javier],
Nowcasting System Based on Sky Camera Images to Predict the Solar
Flux on the Receiver of a Concentrated Solar Plant,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Ren, S.[Simiao],
Malof, J.[Jordan],
Fetter, R.[Rob],
Beach, R.[Robert],
Rineer, J.[Jay],
Bradbury, K.[Kyle],
Utilizing Geospatial Data for Assessing Energy Security: Mapping
Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep
Learning,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Zhang, S.Y.[Shu-Yan],
Ma, Y.[Yong],
Chen, F.[Fu],
Shang, E.[Erping],
Yao, W.[Wutao],
Qiu, Y.[Yubao],
Liu, J.B.[Jian-Bo],
Global Land High-Resolution Cloud Climatology Based on an Improved
MOD09 Cloud Mask,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Zhang, S.Y.[Shu-Yan],
Ma, Y.[Yong],
Chen, F.[Fu],
Shang, E.[Erping],
Yao, W.[Wutao],
Liu, J.B.[Jian-Bo],
Long, A.[An],
Estimation of Photovoltaic Energy in China Based on Global Land
High-Resolution Cloud Climatology,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Salinas-González, J.D.[Jared D.],
García-Hernández, A.[Alejandra],
Riveros-Rosas, D.[David],
Moreno-Chávez, G.[Gamaliel],
Zarzalejo, L.F.[Luis F.],
Alonso-Montesinos, J.[Joaquín],
Galván-Tejada, C.E.[Carlos E.],
Mauricio-González, A.[Alejandro],
González-Cabrera, A.E.[Adriana E.],
Multivariate Analysis for Solar Resource Assessment Using
Unsupervised Learning on Images from the GOES-13 Satellite,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Krapf, S.[Sebastian],
Bogenrieder, L.[Lukas],
Netzler, F.[Fabian],
Balke, G.[Georg],
Lienkamp, M.[Markus],
RID: Roof Information Dataset for Computer Vision-Based
Photovoltaic Potential Assessment,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Chen, Z.H.[Zheng-Hang],
Kang, Y.W.[Ya-Wen],
Sun, Z.X.[Zhong-Xiao],
Wu, F.[Feng],
Zhang, Q.[Qian],
Extraction of Photovoltaic Plants Using Machine Learning Methods:
A Case Study of the Pilot Energy City of Golmud, China,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
Detecting them, not solar potential.
BibRef
Sakti, A.D.[Anjar Dimara],
Ihsan, K.T.N.[Kalingga Titon Nur],
Anggraini, T.S.[Tania Septi],
Shabrina, Z.[Zahratu],
Sasongko, N.A.[Nugroho Adi],
Fachrizal, R.[Reza],
Aziz, M.[Muhammad],
Aryal, J.[Jagannath],
Yuliarto, B.[Brian],
Hadi, P.O.[Pradita Octoviandiningrum],
Wikantika, K.[Ketut],
Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment:
A Case Study of Bandung, Indonesia,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Lin, S.[Shaofu],
Zhang, C.[Chang],
Ding, L.[Lei],
Zhang, J.[Jing],
Liu, X.L.[Xi-Liang],
Chen, G.[Guihong],
Wang, S.H.[Shao-Hua],
Chai, J.[Jinchuan],
Accurate Recognition of Building Rooftops and Assessment of Long-Term
Carbon Emission Reduction from Rooftop Solar Photovoltaic Systems
Fusing GF-2 and Multi-Source Data,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Sachit, M.S.[Mourtadha Sarhan],
Shafri, H.Z.M.[Helmi Zulhaidi Mohd],
Abdullah, A.F.[Ahmad Fikri],
Rafie, A.S.M.[Azmin Shakrine Mohd],
Gibril, M.B.A.[Mohamed Barakat A.],
Global Spatial Suitability Mapping of Wind and Solar Systems Using an
Explainable AI-Based Approach,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Ge, F.[Fan],
Wang, G.Z.[Gui-Zhou],
He, G.J.[Guo-Jin],
Zhou, D.J.[Deng-Ji],
Yin, R.Y.[Ran-Yu],
Tong, L.Z.[Lian-Zi],
A Hierarchical Information Extraction Method for Large-Scale
Centralized Photovoltaic Power Plants Based on Multi-Source Remote
Sensing Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wang, S.[Su],
Dai, T.[Tie],
Li, C.[Cuina],
Cheng, Y.M.[Yue-Ming],
Huang, G.[Gang],
Shi, G.Y.[Guang-Yu],
Improving Clear-Sky Solar Power Prediction over China by Assimilating
Himawari-8 Aerosol Optical Depth with WRF-Chem-Solar,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Chen, D.Y.[De-Yue],
Peng, L.[Ling],
Zhang, W.Y.[Wen-Yue],
Wang, Y.D.[Yin-Da],
Yang, L.N.[Li-Na],
Research on Self-Supervised Building Information Extraction with
High-Resolution Remote Sensing Images for Photovoltaic Potential
Evaluation,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Muñoz-Salcedo, M.[Martín],
Peci-López, F.[Fernando],
Táboas, F.[Francisco],
An Empirical Correction Model for Remote Sensing Data of Global
Horizontal Irradiance in High-Cloudiness-Index Locations,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, J.Y.[Jin-Yue],
Liu, J.[Jing],
Li, L.[Longhui],
Detecting Photovoltaic Installations in Diverse Landscapes Using Open
Multi-Source Remote Sensing Data,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhang, Y.J.[Yu-Jie],
Qin, W.[Wenmin],
Wang, L.[Lunche],
Yang, C.[Chao],
Su, X.[Xin],
Wu, J.Y.[Jin-Yang],
Enhancement of Photovoltaic Power Potential in China from 2010 to
2020: The Contribution of Air Pollution Control Policies,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Jiang, Y.H.[Yu-Hui],
Yi, B.Q.[Bing-Qi],
An Assessment of the Influences of Clouds on the Solar Photovoltaic
Potential over China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Kumar, A.[Anil],
Kashyap, Y.[Yashwant],
Kosmopoulos, P.[Panagiotis],
Enhancing Solar Energy Forecast Using Multi-Column Convolutional
Neural Network and Multipoint Time Series Approach,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Ravishankar, R.[Rashmi],
AlMahmoud, E.[Elaf],
Habib, A.[Abdulelah],
de Weck, O.L.[Olivier L.],
Capacity Estimation of Solar Farms Using Deep Learning on
High-Resolution Satellite Imagery,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Polo, J.[Jesús],
García, R.J.[Redlich J.],
Solar Potential Uncertainty in Building Rooftops as a Function of
Digital Surface Model Accuracy,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Mitka, B.[Bartosz],
Klapa, P.[Przemyslaw],
Pióro, P.[Piotr],
Acquisition and Processing Data from UAVs in the Process of
Generating 3D Models for Solar Potential Analysis,
RS(15), No. 6, 2023, pp. 1498.
DOI Link
2304
BibRef
Pruthviraj, U.[Umesh],
Kashyap, Y.[Yashwant],
Baxevanaki, E.[Effrosyni],
Kosmopoulos, P.[Panagiotis],
Solar Photovoltaic Hotspot Inspection Using Unmanned Aerial Vehicle
Thermal Images at a Solar Field in South India,
RS(15), No. 7, 2023, pp. 1914.
DOI Link
2304
BibRef
Zhao, S.T.[Shu-Ting],
Xiang, Y.Z.[You-Zhen],
Wu, L.F.[Li-Feng],
Liu, X.Q.[Xiao-Qiang],
Dong, J.H.[Jian-Hua],
Zhang, F.[Fucang],
Li, Z.J.[Zhi-Jun],
Cui, Y.K.[Yao-Kui],
Simulation of Diffuse Solar Radiation with Tree-Based Evolutionary
Hybrid Models and Satellite Data,
RS(15), No. 7, 2023, pp. 1885.
DOI Link
2304
optimizing solar energy systems.
BibRef
Su, B.[Buyu],
Du, X.P.[Xiao-Ping],
Mu, H.[Haowei],
Xu, C.[Chen],
Li, X.C.[Xue-Cao],
Chen, F.[Fang],
Luo, X.N.[Xiao-Nan],
FEPVNet: A Network with Adaptive Strategies for Cross-Scale Mapping
of Photovoltaic Panels from Multi-Source Images,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link
2305
BibRef
Khalyasmaa, A.I.[Alexandra I.],
Eroshenko, S.A.[Stanislav A.],
Tashchilin, V.A.[Valeriy A.],
Ramachandran, H.[Hariprakash],
Chakravarthi, T.P.[Teja Piepur],
Butusov, D.N.[Denis N.],
Industry Experience of Developing Day-Ahead Photovoltaic Plant
Forecasting System Based on Machine Learning,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Shimada, S.[Shoki],
Takeuchi, W.[Wataru],
Revealing a Shift in Solar Photovoltaic Planning Sites in Vietnam
from 2019 to 2022,
RS(15), No. 11, 2023, pp. 2756.
DOI Link
2306
BibRef
Kumar, A.[Anil],
Kosmopoulos, P.[Panagiotis],
Kashyap, Y.[Yashwant],
Gautam, R.[Rupam],
Rooftop Photovoltaic Energy Production Estimations in India Using
Remotely Sensed Data and Methods,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Ma, S.[Su],
Liu, J.H.[Jun-Hui],
Zhang, P.[Ping],
Tu, X.Y.[Xing-Yue],
Zhou, J.A.[Jian-An],
Liu, Y.[Yang],
Zheng, Y.J.[Ying-Juan],
Characterizing the Development of Photovoltaic Power Stations and
Their Impacts on Vegetation Conditions from Landsat Time Series
during 1990-2022,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Jörges, C.[Christoph],
Vidal, H.S.[Hedwig Sophie],
Hank, T.[Tobias],
Bach, H.[Heike],
Detection of Solar Photovoltaic Power Plants Using Satellite and
Airborne Hyperspectral Imaging,
RS(15), No. 13, 2023, pp. 3403.
DOI Link
2307
BibRef
Zhang, H.T.[Hai-Tao],
Tian, P.[Peng],
Zhong, J.[Jie],
Liu, Y.C.[Yong-Chao],
Li, J.L.[Jia-Lin],
Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and
Sentinel-2 Images and Google Earth Engine,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
See also Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine.
BibRef
Guo, X.C.[Xing-Chen],
Lai, J.[Jing],
Zheng, Z.[Zhou],
Lin, C.X.[Chen-Xiang],
Dai, Y.X.[Yu-Xing],
Xu, X.X.[Xue-Xin],
San, H.[Haisheng],
Jia, R.[Rong],
Zhang, Z.H.[Zhi-Hong],
Image feature learning combined with attention-based spectral
representation for spatio-temporal photovoltaic power prediction,
IET-CV(17), No. 7, 2023, pp. 777-794.
DOI Link
2310
astronomical image processing, convolutional neural nets,
frequency-domain analysis, image denoising, time series
BibRef
Li, L.A.[Li-Ang],
Lu, N.[Ning],
Jiang, H.[Hou],
Qin, J.[Jun],
Impact of Deep Convolutional Neural Network Structure on Photovoltaic
Array Extraction from High Spatial Resolution Remote Sensing Images,
RS(15), No. 18, 2023, pp. 4554.
DOI Link
2310
BibRef
Wang, Y.[Yinda],
Cai, D.[Danlu],
Chen, L.J.[Luan-Jie],
Yang, L.[Lina],
Ge, X.T.[Xing-Tong],
Peng, L.[Ling],
A Downscaling Methodology for Extracting Photovoltaic Plants with
Remote Sensing Data: From Feature Optimized Random Forest to Improved
HRNet,
RS(15), No. 20, 2023, pp. 4931.
DOI Link
2310
BibRef
Wang, J.X.[Jian-Xun],
Chen, X.[Xin],
Shi, W.Y.[Wei-Yue],
Jiang, W.C.[Wei-Cheng],
Zhang, X.[Xiaopu],
Hua, L.[Li],
Liu, J.[Junyi],
Sui, H.G.[Hai-Gang],
Rooftop PV Segmenter: A Size-Aware Network for Segmenting Rooftop
Photovoltaic Systems from High-Resolution Imagery,
RS(15), No. 21, 2023, pp. 5232.
DOI Link
2311
BibRef
Sánchez-Aparicio, M.[María],
González-González, E.[Enrique],
Martín-Jiménez, J.A.[Jose Antonio],
Lagüela, S.[Susana],
Solar Potential Analysis of Bus Shelters in Urban Environments: A
Study Case in Avila (Spain),
RS(15), No. 21, 2023, pp. 5189.
DOI Link
2311
BibRef
Jemmali, M.[Mahdi],
Bashir, A.K.[Ali Kashif],
Boulila, W.[Wadii],
Melhim, L.K.B.[Loai Kayed B.],
Jhaveri, R.H.[Rutvij H.],
Ahmad, J.[Jawad],
An Efficient Optimization of Battery-Drone-Based Transportation
Systems for Monitoring Solar Power Plant,
ITS(24), No. 12, December 2023, pp. 15633-15641.
IEEE DOI
2312
BibRef
Waqas, H.[Hassan],
Jiang, Y.H.[Yu-Hong],
Shang, J.[Jianga],
Munir, I.[Iqra],
Khan, F.U.[Fahad Ullah],
An Integrated Approach for 3D Solar Potential Assessment at the City
Scale,
RS(15), No. 23, 2023, pp. 5616.
DOI Link
2312
BibRef
Kleebauer, M.[Maximilian],
Marz, C.[Christopher],
Reudenbach, C.[Christoph],
Braun, M.[Martin],
Multi-Resolution Segmentation of Solar Photovoltaic Systems Using
Deep Learning,
RS(15), No. 24, 2023, pp. 5687.
DOI Link
2401
BibRef
Tao, H.X.[Hao-Xiang],
He, G.J.[Guo-Jin],
Wang, G.Z.[Gui-Zhou],
Yang, R.Q.[Rui-Qing],
Peng, X.[Xueli],
Yin, R.[Ranyu],
An Information Extraction Method for Industrial and Commercial
Rooftop Photovoltaics Based on GaoFen-7 Remote Sensing Images,
RS(15), No. 24, 2023, pp. 5744.
DOI Link
2401
BibRef
Liu, W.Q.[Wen-Qing],
Huo, H.T.[Hong-Tao],
Ji, L.[Luyan],
Zhao, Y.C.[Yong-Chao],
Liu, X.W.[Xiao-Wen],
Li, J.[Jing],
A Method for Extracting Photovoltaic Panels from High-Resolution
Optical Remote Sensing Images Guided by Prior Knowledge,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Li, D.[Da],
Li, L.[Lan],
Cui, M.Y.[Ming-Yang],
Shi, P.L.[Peng-Liang],
Shi, Y.T.[Yin-Tong],
Zhu, J.[Jian],
Dai, S.[Sui],
Song, M.P.[Mei-Ping],
Stain Detection Based on Unmanned Aerial Vehicle Hyperspectral
Photovoltaic Module,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Zhang, J.[Jue],
Jia, X.P.[Xiu-Ping],
Zhou, J.[Jun],
Zhang, J.P.[Jun-Peng],
Hu, J.K.[Jian-Kun],
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label
Transition in Aerial Images,
IP(33), 2024, pp. 881-896.
IEEE DOI
2402
BibRef
Earlier: A1, A2, A5, Only:
Pseudo Supervised Solar Panel Mapping based on Deep Convolutional
Networks with Label Correction Strategy in Aerial Images,
DICTA20(1-8)
IEEE DOI
2201
Noise measurement, Uncertainty, Training, Solar panels,
Predictive models, Estimation, Annotations, aerial images.
Training, Renewable energy sources, Annotations,
Supervised learning, Solar panels, Convolutional neural networks,
convolutional neural network
BibRef
Trincado, E.[Estrella],
Vindel, J.M.[Jose María],
Suitability Index for the Placement of Solar Plants Based on
Inequality Measurements and on Satellite Images,
RS(16), No. 6, 2024, pp. 1039.
DOI Link
2403
BibRef
Shin, H.[Hyeongil],
Khoshelham, K.[Kourosh],
Lee, K.[Kirim],
Jung, S.[Sejung],
Kim, D.[Dohoon],
Lee, W.[Wonhee],
Effect of Incidence Angle on Temperature Measurement of Solar Panel
with Unmanned Aerial Vehicle-Based Thermal Infrared Camera,
RS(16), No. 9, 2024, pp. 1607.
DOI Link
2405
BibRef
Sander, L.[Leon],
Schindler, D.[Dirk],
Jung, C.[Christopher],
Application of Satellite Data for Estimating Rooftop Solar
Photovoltaic Potential,
RS(16), No. 12, 2024, pp. 2205.
DOI Link
2406
BibRef
Winkel, P.[Peter],
Wilbert, S.[Stefan],
Röger, M.[Marc],
Krauth, J.J.[Julian J.],
Algner, N.[Niels],
Nouri, B.[Bijan],
Wolfertstetter, F.[Fabian],
Carballo, J.A.[Jose Antonio],
Alonso-Garcia, M.C.[M. Carmen],
Polo, J.[Jesus],
Fernández-García, A.[Aránzazu],
Pitz-Paal, R.[Robert],
Cell-Resolved PV Soiling Measurement Using Drone Images,
RS(16), No. 14, 2024, pp. 2617.
DOI Link
2408
BibRef
Zhang, Z.X.[Zhi-Xin],
Pu, Y.X.[Ying-Xia],
Sun, Z.[Zhuo],
Qian, Z.[Zhen],
Chen, M.[Min],
Assessment of Rooftop Photovoltaic Potential Considering Building
Functions,
RS(16), No. 16, 2024, pp. 2993.
DOI Link
2408
BibRef
Hübl, F.[Franziska],
Welscher, F.[Franz],
Scholz, J.[Johannes],
Multi-Criteria Decision Analysis to Evaluate the Geographic Potential
of Alternative Photovoltaic Types,
IJGI(13), No. 8, 2024, pp. 269.
DOI Link
2408
BibRef
Didi, Z.D.[Zai-Dan],
El Azami, I.[Ikram],
Monitoring Photovoltaic Panels Using the ESP32 Microcontroller via
low-power Bluetooth Communication,
ISCV22(1-6)
IEEE DOI
2208
Photovoltaic systems, Bluetooth, Voltage measurement,
Microcontrollers, Current measurement, Measurement uncertainty, IoT.
BibRef
Kranjcic, N.,
Bek, A.,
Ðurin, B.,
Singh, S.K.,
Kanga, S.,
Analysis of Solar Energy Potential By Remote Sensing Techniques In
VaraŽdinska County, Croatia,
SmartCityApp21(343-347).
DOI Link
2201
BibRef
Apra, I.,
Bachert, C.,
Tocora, C.C.[C. Cáceres],
Tufan, Ö.,
Veselý, O.,
Verbree, E.,
Inferring Roof Semantics for More Accurate Solar Potential Assessment,
GeoInfo21(33-37).
DOI Link
2201
BibRef
Julian, L.[Leron],
Sankaranarayanan, A.C.[Aswin C.],
Precise Forecasting of Sky Images Using Spatial Warping,
PBDL21(1136-1144)
IEEE DOI
2112
Photovoltaic systems, Deep learning, Schedules,
Image coding, Real-time systems
BibRef
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,
ISPRS20(B4:639-646).
DOI Link
2012
BibRef
Oumekloul, Z.,
Achaoui, Y.,
Mir, A.,
Akjouj, A.,
Multi-layer WS2 and MOS2 Based Plasmonic Solar Cell for Smart Energy
Harvesting,
SmartCityApp20(331-334).
DOI Link
2012
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, 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.
DOI Link
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 Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Energy Usage, Energy Efficiency, Buildings, Roofs .