ArticleScientific data2024
Vectorized solar photovoltaic installation dataset across China in 2015 and 2020.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Comparing potential biodiversity conflicts from renewable energy expansion in China at different centralization levels.Nature ecology & evolution · 2026Article
- Spatial distribution and environmental attributes dataset of China's large-scale data centers in 2024.Scientific data · 2026Article
- Vectorized Agrivoltaics Dataset in China from 2010 to 2022.Scientific data · 2026Article
- CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework.Scientific data · 2025Article
- A harmonized dataset of ground-mounted solar energy in the US with enhanced metadata.Scientific data · 2025Article
- Vectorized solar photovoltaic installation dataset across China in 2015 and 2020.Scientific data · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
To achieve carbon neutrality, solar photovoltaic (PV) in China has undergone enormous development over the past few years. PV datasets with high accuracy and fine temporal span are crucial to assess the corresponding carbon reductions. In this study, we employed the random forest classifier to extract PV installations throughout China in 2015 and 2020 using Landsat-8 imagery in Google Earth Engine. The results were further visually inspected and refined by morphological filtering, cavity filling and manual adjustment. Validation analysis revealed that the initial classification achieved an overall accuracy over 96% for both 2015 and 2020. Further validation using independent test samples demonstrated that the final dataset outperformed the accuracies of existing PV datasets. In 2015, the total area of installed PV in China was 663.09 km
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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.