2026-10-10T06:47:45Z https://www.scidb.cn/oai

10.57760/sciencedb.43514 2026-07-24T17:43:10Z

2026-07-24 A High-Resolution Remote Sensing Cropland Field Parcel Dataset for the middle Yangtze River plain region in 2020 doi:10.57760/sciencedb.43514 en The cropland field parcel dataset for the Middle Yangtze River Plain (LGISer-CFD) was developed using 1 m resolution remote sensing imagery. It covers the Jianghan Plain, Dongting Lake region, and Poyang Lake region and comprises two components: a cropland field parcel remote sensing interpretation product (LGISer-CID) and a cropland field parcel segmentation sample dataset (LGISer-CSD). LGISer-CFD has the following characteristics: (1) the remote sensing interpretation product is currently the largest and highest-resolution cropland field parcel dataset for the Middle Yangtze River Plain, containing more than 5.05 million cropland field parcels and providing a comprehensive representation of the spatial distribution pattern of regional cropland field parcels; (2) the segmentation sample dataset contains 30,000 image–label pairs with a size of 256 × 256 pixels, which are divided into training, validation, and test sets at a ratio of 6:2:2. It also supports the continuous expansion of newly added field parcel samples, showing high scalability; (3) LGISer-CFD covers multiple types of cropland field parcel scenarios, including regular contiguous parcels, fragmented parcels, and parcels with curved boundaries, which meets the requirements of practical field parcel extraction tasks and can be used to evaluate model stability and generalization ability in complex scenarios. cropland field parcel; high resolution remote sensing image; dataset; deep learning; the middle Yangtze River plain Wu Hao Xie Junyang Lin Anqilin Zhang Rui Luo Yubo Wu Wenbin Yu Qiangyi Hu Qiong PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank