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Advances and Prospects on Estimating Solar Photovoltaic Installation Capacity and Potential Based on Satellite and Aerial Images by Hongzhi Mao; Xie Chen; Yongqiang Luo; Jie Deng; Zhiyong Tian; Jinghua Yu; Yimin Xiao; Jianhua Fan is a Engineering article available to read on EtoBox.
What is Advances and Prospects on Estimating Solar Photovoltaic Installation Capacity and Potential Based on Satellite and Aerial Images about?
Solar photovoltaic (PV) system, as one kind of the most promising renewable energy technologies, plays a key role in reducing carbon emissions to achieve the targets of global net zero carbon. In the past few decades, PV installations have seen a rapid growth. Predicting the installed amount and the capacity of solar PV systems is therefore useful for formulating effective carbon reduction policies in the related area. In the present study, the methods of identifying PV installation based on satellite and aerial images have been reviewed. Suggestions have been put forward to optimize the identification process and to predict the potential of rooftop PV installation. The results show that the specific purposes of PV identification can be categorized as image classification, object detection and semantic segmentation. The available identification methods encompass pixel-based analysis method (PBIA), object-based analysis method (OBIA) and deep learning. Deep learning has a high accuracy in segmentation for all sizes of PV systems, with precision and recall of rooftop PV segmentation in the range of 41–98.9% and 54.5–95.8%, respectively. OBIA has the best accuracy in detecting central
Who reads Advances and Prospects on Estimating Solar Photovoltaic Installation Capacity and Potential Based on Satellite and Aerial Images?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Hongzhi Mao; Xie Chen; Yongqiang Luo; Jie Deng; Zhiyong Tian; Jinghua Yu; Yimin Xiao; Jianhua Fan
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)