及时准确地获取耕地空间分布数据对于农业生产管理、种植结构调整、保障粮食安全等具有重要意义。本研究以东北三省（黑龙江省、辽宁省、吉林省）为研究区，基于哨兵二号（Sentinel-2）卫星影像数据，建立每一省份特定年份的耕地与非耕地样本12个月份的归一化差分植被指数（NDVI）数据集库；利用Google Earth Engine遥感计算平台，依据耕地与非耕地样本的NDVI的差异性特征进行监督分类，建立了黑龙江省、辽宁省、吉林省等东北三省2020—2022年间逐年10 m空间分辨率耕地资源空间分布数据集。该数据集为东北地区最近年份的耕地资源空间分布数据集更新，可为该地区的黑土地科学保护、“藏粮于地，藏粮于技”战略实施以及粮食安全保障提供数据支撑和科学服务。

Timely and accurate acquisition of cropland spatial distribution data is of great significance for agricultural production management, planting structure adjustment and food security. In this study, three northeastern provinces (Heilongjiang, Liaoning and Jilin) were selected as the research area. Based on massive Sentinel-2 data, a 12-month Normalized Difference Vegetation Index (NDVI) dataset of cropland and non-cropland samples in a specific year was established in each province. The Google Earth Engine remote sensing computing platform was used to conduct supervised classification according to the difference characteristics of NDVI between cropland and non-cropland samples, and the spatial distribution data set of cropland resources with 10 m spatial resolution in the three northeastern provinces during 2020-2022 was obtained. The data set is an update of the latest available cropland resource data set, which can provide data support and scientific services for the scientific protection of phaeozem in Northeast China, the implementation of the strategy of "storing grain in land, storing grain in technology" and the guarantee of food security.