农业大数据学报2025，Vol.7Issue(1)：22-30,9.DOI:10.19788/j.issn.2096-6369.100035
2015-2023年中俄黑龙江跨境流域农作物精细分类数据集
Fine Classification Dataset of Crops in the Transboundary Basin of the Heilongjiang River Between Russia and China,2015-2023
摘要
Abstract
The Heilongjiang transboundary basin region,where the Russian Far East and northeastern China are located,is rich in natural resources and has great potential for the development and utilization of agricultural resources.Facing the crisis of increasing global conflicts and shortage of food supply chain,strengthening the monitoring and development and utilization of agricultural resources in the Heilongjiang basin is of great significance to guarantee global food security.In this dataset,the Heilongjiang transboundary watershed is used as the study area,and machine learning and sample migration methods are applied to construct a comprehensive set of fine classification system for agricultural crops.Based on historical remote sensing image data and the Google Earth Engine(GEE)cloud platform,the classification of major crops such as wheat,corn,soybean and rice in 2015,2020 and 2023 was completed with an overall accuracy of more than 84%and a Kappa coefficient of more than 0.81,using Landsat images as the data source.The analysis of spatial and temporal changes reveals the pattern and changing characteristics of crops in the Heilongjiang transboundary watershed,and provides decision-making support for the optimal allocation of arable land resources in this watershed.关键词
作物分类/Sentinel-2/Landsat/随机森林Key words
crop classification/Sentinel-2/Landsat/Random forest引用本文复制引用
刘梦,王卷乐,李凯,江嘉伟,邹伟豪..2015-2023年中俄黑龙江跨境流域农作物精细分类数据集[J].农业大数据学报,2025,7(1):22-30,9.基金项目
ANSO"一带一路"国际科学组织联盟资助项目(批准号:ANSO-CR-KP-2022-06)、国家科技基础资源调查专项项目(批准号:2022FY101902-02)和中国工程科技知识中心建设项目(批准号:CKCEST-2023-1-5). （批准号:ANSO-CR-KP-2022-06）
