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, Fanli 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 · 发表于:Earth system science data · 年份:2025 · DOI:10.5194/essd-17-5065-2025 · 被引用次数:11 · 研究领域:Land Use and Ecosystem Services、Urban Green Space and Health、Urban Agriculture and Sustainability
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 m PCG dataset (Global-PCG-10) with high-quality. Firstly, the globe was divided into multiple 5° 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 PCG 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 (Niu et al., 2024) has a high overall accuracy of 98.04 % ± 0.12 %. The global area of PCGs is 14 259.85 km2, and 69.24 % of PCGs are located in Asia, covering around 9874.51 km2. China has the largest PCG area of 8224.90 km2, accounti...