ArticleScientific data2023
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Labeled photovoltaic installations for orthographic aerial imagery in Queens, New York.Scientific data · 2026Article
- A Yolo-Based Semantic Segmentation Model for Solar Photovoltaic Panel Identification.Sensors (Basel, Switzerland) · 2025Article
- A harmonized dataset of ground-mounted solar energy in the US with enhanced metadata.Scientific data · 2025Article
- A solar panel dataset of very high resolution satellite imagery to support the Sustainable Development Goals.Scientific data · 2023Article
- A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata.Scientific data · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale, rooftop PV installations are deployed at an unprecedented pace, and their safe integration into the grid requires up-to-date, high-quality information. Overhead imagery is increasingly being used to improve the knowledge of rooftop PV installations with machine learning models capable of automatically mapping these installations. However, these models cannot be reliably transferred from one region or imagery source to another without incurring a decrease in accuracy. To address this issue, known as distribution shift, and foster the development of PV array mapping pipelines, we propose a dataset containing aerial images, segmentation masks, and installation metadata (i.e., technical characteristics). We provide installation metadata for more than 28000 installations. We supply ground truth segmentation masks for 13000 installations, including 7000 with annotations for two different image providers. Finally, we provide installation metadata that matches the annotation for more than 8000 installations. Dataset applications include end-to-end PV registry construction, robust PV installations mapping, and analysis of crowdsourced datasets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.