高分二号卫星长江中游平原典型耕地区域真彩色合成影像
封面图片为高分二号卫星获取的长江中游平原典型耕地区域真彩色融合影像，展现了水网密布、田块交错，村落、道路与农田相互镶嵌的农业景观。高分二号卫星具有米级空间分辨率和高定位精度等特点，能够清晰呈现耕地地块的边界轮廓、内部纹理及其与道路、沟渠、林带、水体和居民点等周边地物的空间关系。该影像来源于长江中游平原高分辨率遥感耕地地块数据集（LGISer-CFD）。该数据集覆盖江汉平原、洞庭湖地区和鄱阳湖地区，由耕地地块遥感解译产品和耕地地块分割样本数据集两部分组成，可为农田景观精细刻画、耕地资源调查与动态监测提供重要数据支撑。LGISer-CFD数据集已在科学数据银行和国家地球系统科学数据中心公开共享，可供地理信息、遥感测绘和人工智能等领域的专业人员开展相关研究与应用。该数据集将结合新增遥感影像和数据质量核验结果，持续开展数据补充、成果修正与版本优化，更新成果将在上述数据共享平台及时发布。数据集获取网址如下：https://www.scidb.cn/detail?dataSetId=96944ee82e5141ce86a240f5854e10ab；https://www.noda.ac.cn/datasharing/datasetDetails/6a69cd75a6558e62943904b2。
True-color composite lmage of a typical cropland area in the Middle Yangtze River Plain acquired by the GF-2 satellite
The cover image is true-color composite image of a typical cropland area in the Middle Yangtze River Plain acquired by the Gaofen-2 (GF-2) satellite. It depicts an agricultural landscape characterized by dense water networks, interlaced fields, and a mosaic of villages, roads, and farmland. With its meter spatial resolution and high geolocation accuracy, GF-2 imagery clearly reveals the boundary contours and internal textures of cropland parcels, as well as their spatial relationships with surrounding features such as roads, ditches, shelterbelts, water bodies, and settlements. This image comes from the High-Resolution Remote Sensing Cropland Field Parcel Dataset for the Middle Yangtze River Plain (LGISer-CFD). LGISer-CFD covers the Jianghan Plain, the Dongting Lake region, and the Poyang Lake region, and consists of a remote sensing interpretation product of cropland field parcels and a cropland field parcel segmentation sample dataset. It provides important data support for the detailed characterization of agricultural landscapes, cropland resource surveys, and dynamic monitoring. LGISer-CFD have been publicly shared in the scientific data bank and the National Earth System Science Data Center, and can be used by professionals in the fields of geographic information, remote sensing mapping and artificial intelligence to carry out relevant research and application. It will be continuously supplemented, corrected, and optimized based on newly acquired remote sensing imagery and data quality verification results. Updated products and the latest versions will be released promptly through the aforementioned data-sharing platforms. LGISer-CFD is available at: https://www.scidb.cn/detail?dataSetId=96944ee82e5141ce86a240f5854e10ab; https://www.noda.ac.cn/datasharing/datasetDetails/6a69cd75a6558e62943904b2.
