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

Abstract

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

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.

Figures/Tables 8

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Table 1

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References 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

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

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