CARM30:从2000年到2022年,中国每年以30米空间分辨率绘制大麻的地图,使用多个来源的数据
Wenbin Liu1,2, Shu Li1, Jianbin Tao3
1Changjiang Institute of Survey Technical Research, MWR, Wuhan, Hubei, 430011, China.
Scientific data
|April 8, 2024
概括
这项研究介绍了中国年菜种子地图 (CARM30),这是一个新的30米分辨率数据集,绘制了2000年至2022年中国的菜种植情况. 这些地图为农业管理和可持续的石油供应提供了关键数据.
科学领域:
- 农业遥感 农业遥感
- 绘制作物分布的地图.
- 地理空间数据分析.
背景情况:
- 菜是一种重要的全球作物,特别是在中国,但缺乏全面的长期遥感地图.
- 准确的菜种植数据对于农业管理,石油供应可持续性和政策决策至关重要.
研究的目的:
- 为中国制定第一个高分辨率,长期的年度菜种子分布图.
- 为农业利益相关者,研究人员和政策制定者提供一个有价值的资源.
主要方法:
- 利用多种来源的数据,包括卫星图像,GLDAS环境变量,土地覆盖地图和地形数据.
- 为中国创建了2000年至2022年期间 (CARM30) 的每年30米空间分辨率的油菜地图.
主要成果:
- CARM30产品的准确性很高,冬季的F1平均得分为0.869,春季的菜平均得分为0.971.
- CARM30与现有的高分辨率地图有很强的空间一致性,与农业统计数据有显著的相关性 (R2 = 0.65-0.86).
结论:
- CARM30数据集提供了可靠和一致的长期记录,记录了中国各地的菜种植情况.
- 这种资源支持精细的农业管理,可持续的植物油供应链和知情的政府决策.
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