Mapping 10-m Plastic Greenhouses of China Based on Multisource Remote Sensing Products

doi:10.1109/JSTARS.2025.3625292

CSpace

	Mapping 10-m Plastic Greenhouses of China Based on Multisource Remote Sensing Products
	Zhang, Xiaoping 1,2; Cheng, Bo 1,3; Liang, Chenbin 4; Cao, Qimin 5; Zhao, Min 6; Wang, Guizhou 1,3; He, Qinxue 1,2; Gan, Yaocan 1,2
	2025
发表期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
卷号	18 页码:28172-28191
摘要	Plastic greenhouses (PGs), as an important modern agricultural infrastructure, can significantly enhance the crop yield and quality through efficient and intensive production practices. Timely and accurate mapping of PGs is essential for food security and sustainable agricultural development. However, insufficient training samples and the constraints of existing mapping methods have confined most studies to small-scale regions, and there is a notable absence of high-resolution PGs datasets at the national level. Moreover, traditional PGs extraction relies heavily on labor-intensive and time-consuming manual sample collection, which poses great challenge to meet the demands of national-scale mapping. To address these limitations, we propose a large-scale PGs mapping framework based on automated training sample generation for mainland China. Initially, a high-quality pool of positive and negative samples was established by integrating existing multisource land use/land cover products and thematic PGs data through spatial overlay analysis and spectral filtering operations. Uniform and sufficient training samples were then selected to construct multisource features based on Sentinel images and other auxiliary data, and finally, a tile-based local random forest approach was implemented to produce a 10 m PGs dataset for China in 2020 (ChinaPGs10) on the Google Earth Engine platform. Evaluation results show that ChinaPGs10 performs well on two nationwide test sets, with product accuracies of PGs reaching 84.64% and 86.15% . Cross-comparison with PGs-30 and PGs-3 reveals high spatial consistency of different products, which further proves the effectiveness and robustness of the proposed framework.
关键词	Automated training sample generation national-scale mapping plastic greenhouses (PGs) sentinel Automated training sample generation national-scale mapping plastic greenhouses (PGs) sentinel
DOI	10.1109/JSTARS.2025.3625292
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001618689100021
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/43076
专题	中国科学院计算技术研究所
通讯作者	Cheng, Bo; Liang, Chenbin
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Hainan Aerosp Informat Res Inst, Key Lab Earth Observat Hainan Prov, Wenchang 571399, Peoples R China 4.Xidian Univ, Hangzhou Inst Technol, Hangzhou 311200, Peoples R China 5.Hainan Acad Agr Sci, Agr Environm & Soil Res Inst, Haikou 571100, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Xiaoping,Cheng, Bo,Liang, Chenbin,et al. Mapping 10-m Plastic Greenhouses of China Based on Multisource Remote Sensing Products[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:28172-28191.
APA	Zhang, Xiaoping.,Cheng, Bo.,Liang, Chenbin.,Cao, Qimin.,Zhao, Min.,...&Gan, Yaocan.(2025).Mapping 10-m Plastic Greenhouses of China Based on Multisource Remote Sensing Products.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,28172-28191.
MLA	Zhang, Xiaoping,et al."Mapping 10-m Plastic Greenhouses of China Based on Multisource Remote Sensing Products".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):28172-28191.