Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning
文献类型：期刊论文
| 作者 | Chen, Yuehong3; Zhou, Jiayue3; Ge, Yong1,2; Dong, Jinwei1 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2024-05-01 |
| 卷号 | 305页码:114100 |
| 关键词 | Photovoltaic power plants Spatial extent Installation date Expansion pattern Deep learning |
| DOI | 10.1016/j.rse.2024.114100 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | China ' s rapid deployment of solar photovoltaic (PV) power plants has positioned it as the global leader in cumulative installed capacity. The expansion patterns of PV power plants in China play a crucial role in promoting PV diffusion in markets, shaping policies, and analyzing environmental and social impacts. However, the current geospatial datasets of PV power plants available for China cannot fully address these needs due to either missing installation dates or outdated information. Hence, this study develops a framework to extract the spatial extent and installation date of PV power plants from Sentinel -2 and Landsat data using deep learning and change detection techniques and uncover their expansion patterns in China. A geospatial dataset of PV polygons with installation dates in China from 2010 to 2022 is obtained with the F1 -score of 96.08% for its spatial extent and the overall accuracy of 89.86% for its installation dates. We found that western China has a higher total PV area but a lower density of large -size PV power plants whereas eastern and central China have lower total PV areas but a higher density of small -size PV power plants. The area of PV power plants in China has over 600 -fold increase from 5.86 km 2 in 2010 to 3712.1 km 2 in 2022 with the average annual growth of 285 km 2 and western China has the highest annual growth proportion of 53%. The PV power plants in eastern and central China mainly established on croplands (24.6%) and the occupation of croplands presents a significant reduction of 48% from 2017 to 2022. In contrast, PV installations in western China, especially poverty-stricken areas, are primarily deployed on grasslands (28.3%) and unused lands (27.5%) and a declining pattern is observed in the occupation of grasslands. The up-to-date geospatial dataset of PV power plants and their expansion pattern analysis offer valuable insights into the understanding of PV development and its land occupation in both space and time, and thereby contribute to the policy -making of carbon mitigation for China. |
| WOS关键词 | LANDSAT ; PATTERNS |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001224566600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205174]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Chen, Yuehong; Ge, Yong |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Peoples R China 3.Hohai Univ, Coll Geog & Remote Sensing, Nanjing 211100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuehong,Zhou, Jiayue,Ge, Yong,et al. Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning[J]. REMOTE SENSING OF ENVIRONMENT,2024,305:114100. |
| APA | Chen, Yuehong,Zhou, Jiayue,Ge, Yong,&Dong, Jinwei.(2024).Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning.REMOTE SENSING OF ENVIRONMENT,305,114100. |
| MLA | Chen, Yuehong,et al."Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning".REMOTE SENSING OF ENVIRONMENT 305(2024):114100. |
入库方式： OAI收割
来源：地理科学与资源研究所
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