2015-2023年中俄黑龙江跨境流域农作物精细分类数据集

doi:10.19788/j.issn.2096-6369.100035

农业大数据学报 ›› 2025, Vol. 7 ›› Issue (1): 22-30.doi: 10.19788/j.issn.2096-6369.100035

• “一带一路”沿线农业资源环境监测与分析专栏 • 上一篇下一篇

2015-2023年中俄黑龙江跨境流域农作物精细分类数据集

刘梦¹^,²(), 王卷乐¹^,³^,⁵^,^*(), 李凯¹^,³, 江嘉伟¹^,⁴, 邹伟豪¹^,⁴

1.中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室，北京 100101
2.江苏海洋大学，海洋技术与测绘学院，江苏连云港 222005
3.中国科学院大学，资源与环境学院，北京 100049
4.中国矿业大学（北京），地球科学与测绘工程学院，北京 100083
5.江苏省地理信息资源开发与应用协同创新中心，南京 210023

收稿日期:2024-05-16 接受日期:2024-07-31 出版日期:2025-03-26 发布日期:2025-02-05
通讯作者: 王卷乐，E-mail：wangjl@igsnrr.ac.cn。
作者简介:刘梦，E-mail：lm@lreis.ac.cn。
基金资助:
ANSO“一带一路”国际科学组织联盟资助项目(ANSO-CR-KP-2022-06);国家科技基础资源调查专项项目(2022FY101902- 02);中国工程科技知识中心建设项目(CKCEST-2023-1-5)

Fine Classification Dataset of Crops in the Transboundary Basin of the Heilongjiang River Between Russia and China, 2015-2023

LIU Meng¹^,²(), WANG JuanLe¹^,³^,⁵^,^*(), LI Kai¹^,³, JIANG JiaWei¹^,⁴, ZOU WeiHao¹^,⁴

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang, Jiangsu 222005, China
3. University of Chinese Academy of Sciences, College of Resources and Environment, Beijing 100049, China
4. China University of Mining and Technology, School of Earth Science and Surveying and Mapping Engineering, Beijing 100083, China
5. Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Ap-plication, Nanjing 210023, China

Received:2024-05-16 Accepted:2024-07-31 Published:2025-03-26 Online:2025-02-05

摘要/Abstract

摘要：

俄罗斯远东和中国东北所在的黑龙江跨境流域地区拥有丰富的自然资源，在农业资源开发利用方面具有巨大潜力。面临全球冲突不断增加和粮食供应链的短缺危机，加强黑龙江跨境流域农业资源的监测和开发利用，对于保障全球粮食安全具有重要意义。该数据集以黑龙江跨境流域作为研究区，运用机器学习和样本迁移方法，构建一套全面的农作物精细分类体系。基于历史遥感影像数据以及Google Earth Engine（GEE）云平台，以Landsat和Sentinel影像为数据源，完成2015、2020和2023年小麦、玉米、大豆、水稻等主要农作物分类，总体精度超过84%，Kappa系数大于0.81。通过时空变化分析，揭示了黑龙江跨境流域农作物的格局与变化特征，对该流域耕地资源优化配置提供决策支持。

数据摘要：

项目	描述
数据集名称	2015-2023年中俄黑龙江跨境流域农作物精细分类数据集
所属学科	土地资源与信息技术
研究主题	黑龙江跨境流域农作物精细分类
数据时间范围	2015年、2020年、2023年
时间分辨率	年
数据地理空间覆盖	黑龙江跨境流域
空间分辨率	10 m, 30 m
数据类型与技术格式	.tif
数据库（集）组成	本数据集包含2015年、2020年、2023年的黑龙江跨境流域农作物精细分类数据，每一年对应 8个 Tiff 文件，共计 24 条记录
数据量	1.92 GB
主要数据指标	黑龙江跨境流域农作物精细分类（小麦、玉米、大豆、水稻）
数据可用性	https://cstr.cn/17058.11.sciencedb.agriculture.00041 https://doi.org/10.57760/sciencedb.agriculture.00041
经费支持	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）

关键词: 作物分类, Sentinel-2, Landsat, 随机森林

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.

Data summary:

Item	Description
Dataset name
Specific subject area	Land resources and information technology
Research topic	Fine classification of crops in the transboundary basin of the Heilongjiang River
Time range	2015, 2020, 2023year
Temporal resolution	year
Geographical scope	Heilongjiang Transboundary Basin
Spatial resolution	10 m, 30 m
Data types and technical formats	.tif
Dataset structure	This dataset contains fine categorized data of crops in the transboundary basin of Heilongjiang for the years 2015, 2020 and 2023, each year corresponds to 8 Tiff files, totaling 24 records.
Volume of dataset	1.92 GB
Key index in dataset	Fine classification of crops (wheat, maize, soybean, rice) in the transboundary basin of the Heilongjiang River
Data accessibility	https://cstr.cn/17058.11.sciencedb.agriculture.00041 https://doi.org/10.57760/sciencedb.agriculture.00041
Financial support	The ANSO "Belt and Road" International Alliance of Scientific Organizations (Grant No. AN-SO-CR-KP-2022-06), the China Science and Technology Basic Resource Survey Program (Grant No. 2022FY101902), China Engineering Science and Technology Knowledge Center Construction Project (Grant No. CKCEST-2023-1-5)

Key words: crop classification, Sentinel-2, Landsat, Random forest

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.

LIU Meng, WANG JuanLe, LI Kai, JIANG JiaWei, ZOU WeiHao. Fine Classification Dataset of Crops in the Transboundary Basin of the Heilongjiang River Between Russia and China, 2015-2023[J]. Journal of Agricultural Big Data, 2025, 7(1): 22-30.

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参考文献 15

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特征变量	简称	特征说明
光谱特征	B	B1-B4、B8、B8a、B9-B12
植被指数	NDVI	（B8a-B4）/（B8a+B4）
	EVI	2.5（B8a-B4）/（B8a+6B4-7.5*B2+1）
	MSAVI	0.5（2B8a +1-sqrt（（2B8a+1）（2B8a+1）-8（B8a-B4）））
水体指数	NDWI	（B3-B8a）/（B3+B8a）
地形特征	Elevation	高程
	Slope	坡度
	Slope	坡度

	2015	2020	2023
OA	0.88	0.84	0.86
Kappa	0.86	0.81	0.83

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

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