亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning

光伏系统 遥感 地理空间分析 中国 环境科学 自然地理学 气象学 地理 生态学 生物 考古
作者
Yuehong Chen,Jiayue Zhou,Yong Ge,Jinwei Dong
出处
期刊:Remote Sensing of Environment [Elsevier]
卷期号:305: 114100-114100 被引量:74
标识
DOI:10.1016/j.rse.2024.114100
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of PV power plants available for China cannot fully address these needs due to either missing installation dates or outdated information.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 km2 in 2010 to 3712.1 km2 in 2022 with the average annual growth of 285 km2 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助yanifang采纳,获得30
3秒前
10秒前
11秒前
13秒前
AXX041795发布了新的文献求助10
15秒前
烟花应助luming采纳,获得30
16秒前
西瓜霜发布了新的文献求助10
17秒前
26秒前
西瓜霜完成签到,获得积分10
30秒前
领导范儿应助AXX041795采纳,获得10
30秒前
30秒前
00hello00发布了新的文献求助10
32秒前
luming发布了新的文献求助30
35秒前
luming完成签到,获得积分10
49秒前
久某完成签到,获得积分20
49秒前
量子星尘发布了新的文献求助10
53秒前
53秒前
冷静小懒虫完成签到,获得积分10
54秒前
56秒前
57秒前
顾矜应助li采纳,获得10
57秒前
58秒前
58秒前
58秒前
地老天框完成签到,获得积分10
59秒前
59秒前
59秒前
nhzz2023完成签到 ,获得积分0
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
lzp完成签到,获得积分10
1分钟前
执着寄容发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5723513
求助须知:如何正确求助?哪些是违规求助? 5278467
关于积分的说明 15298818
捐赠科研通 4871973
什么是DOI,文献DOI怎么找? 2616395
邀请新用户注册赠送积分活动 1566216
关于科研通互助平台的介绍 1523110