Labeled photovoltaic installations for orthographic aerial imagery in Queens, New York.
| Title: | Labeled photovoltaic installations for orthographic aerial imagery in Queens, New York. |
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| Authors: | Furedi T; Penn State Hazleton, Hazleton, PA, 18202, USA.; Kimsal E; Penn State Hazleton, Hazleton, PA, 18202, USA.; Cornejo S; Penn State Hazleton, Hazleton, PA, 18202, USA.; Liero N; Penn State Hazleton, Hazleton, PA, 18202, USA.; Ranalli J; Penn State Hazleton, Hazleton, PA, 18202, USA. jar339@psu.edu. |
| Source: | Scientific data [Sci Data] 2026 Jan 06; Vol. 13 (1), pp. 207. Date of Electronic Publication: 2026 Jan 06. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE; PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, 2014- |
| Abstract: | Obtaining data about rooftop photovoltaic installations presents a challenge for energy researchers. Some research efforts have attempted to utilize computer vision approaches to identify photovoltaic installations from aerial imagery. This dataset consists of manually labeled locations of photovoltaic installations for publicly available aerial imagery of Queens, New York, USA in 2018. The labels comprise 14,000 polygons corresponding to roughly 5,500 separate installations. The median polygon size is 13 m2, with a total area of close to 380,000 m2. Researchers may be interested in applying this dataset for the training of deep learning models for computer vision or to investigate deployment of photovoltaics in urban areas. While other similar datasets exist, there are several unique aspects of this location that make it attractive for further study: it encompasses a densely populated, urban environment; imagery contains four channels (three colors, plus infrared); and the source dataset is re-acquired periodically by the state of New York, offering the opportunity for these labels to form the basis of a time resolved study of photovoltaic deployment.; (© 2026. The Author(s).) |
| Competing Interests: | Competing interests: The authors declare no competing interests. |
| References: | Sci Data. 2016 Dec 06;3:160106. (PMID: 27922592); Sci Data. 2026 Jan 6;13(1):207. (PMID: 41495074); Sci Data. 2025 Apr 16;12(1):637. (PMID: 40240372); Nature. 2021 Oct;598(7882):604-610. (PMID: 34707304); Nat Commun. 2021 Oct 5;12(1):5738. (PMID: 34611151); Sci Data. 2023 Sep 20;10(1):636. (PMID: 37726296); Sci Data. 2023 Jan 28;10(1):59. (PMID: 36709323) |
| Entry Date(s): | Date Created: 20260106 Latest Revision: 20260213 |
| Update Code: | 20260213 |
| PubMed Central ID: | PMC12891508 |
| DOI: | 10.1038/s41597-025-06523-2 |
| PMID: | 41495074 |
| Database: | MEDLINE |
Journal Article