Global-PCG-10: a 10-m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020

作者：Bowen Niu, Quanlong Feng, Bingwen Qiu, Shuai Su, Xinmin Zhang, Rongji Cui, Xinhong Zhang, Fan Sun, Wenhui Yan, Siyuan Zhao, Hanyu Shi, Cong Ou, Xiaolu Yan, Jianhua Gong, Gaofei Yin, Jianxi Huang, Jiantao Liu, Bingbo Gao, Xiaochuang Yao, Jianyu Yang, Dehai Zhu · 年份：2025 · DOI：10.5194/essd-2024-538 · 被引用次数：5 · 研究领域：Land Use and Ecosystem Services、Remote Sensing in Agriculture、Urban Heat Island Mitigation

Abstract. Plastic-covered greenhouse (PCG) is widely used in agricultural production due to its temperature control, water conservation, and wind protection characteristics, significantly enhancing crop yields and economic benefits. However, its long-term and extensive use can lead to environmental issues, such as the accumulation of local toxic gases and the degradation of soil physicochemical properties. Therefore, obtaining a comprehensive distribution of PCGs is essential. To monitor PCGs on a large scale, this study developed a novel approach for producing the first global 10-meters PCGs dataset (Global-PCG-10) with high-quality. Firstly, the globe was divided into multiple 5-degree grids, and grids for classification were organized based on global cropland layer. Then, multi-temporal Sentinel-2 data and initial labels of PCGs were obtained through Google Earth Engine (GEE) to create a training set for deep learning. Next, initial labels were optimized with the active learning strategy combined with the deep learning model, APC-Net. Finally, the PCGs classification results were predicted, spatially analyzed, and compared with publicly released land use and land cover (LULC) datasets. Experimental results indicate that the proposed Global-PCG-10 dataset has a high overall accuracy of 92.08 %. The global area of PCGs is 14,259.85 km², and 69.24 % of PCGs are located in Asia, covering around 9,874.51 km2. China has the largest PCGs area of 8,224.90 km2, accounting for 57.67...