DeepExtremeCubes:用于评估复合热浪和干旱影响的地球系统时空数据
Chaonan Ji1,2, Tonio Fincke3, Vitus Benson4,5
1Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany. chaonan.ji@uni-leipzig.de.
Scientific data
|January 25, 2025
概括
一个新的数据库,DeepExtremeCubes,提供分析准备的数据立方体,用于绘制复合热浪和干旱极端对自然植被的影响,增强气候变化研究.
科学领域:
- 地球观测 地球观测
- 气候科学 气候科学
- 生态生态学 生态生态学
背景情况:
- 热浪和干旱等极端气候现象的频率和强度正在增加.
- 预测它们对陆地生态系统的影响需要强大的分析工具和高质量的数据集.
- 现有的地球观测数据的复杂性挑战了极端事件分析的机器学习模型的有效性.
研究的目的:
- 介绍DeepExtremeCubes数据库,用于分析复合热浪和干旱影响.
- 使用全球采样数据立方体,专注于持久的自然植被.
- 简化数据的可访问性,预处理,提高生物圈动态预测的科学可重复性.
主要方法:
- 开发了超过4万个全球采样的小型数据立方体 (迷你立方体),空间覆盖面为2.5x2.5公里.
- 集成的Sentinel-2 L2A图像,ERA5-Land变量,以及生成的极端事件数据 (2016-2022年).
- 每个迷你立方体内包括辅助土地覆盖和地形地图.
主要成果:
- DeepExtremeCubes数据库提供了一个结构化,分析准备的资源,用于研究极端气候事件.
- 促进复合热浪和干旱对自然植被的影响的绘制.
- 能够在极端气候条件下更好地预测生物圈动态.
结论:
- DeepExtremeCubes解决了分析复合气候极端现象的专门数据集的需求.
- 提高了机器学习模型在地球观测中的有效性,用于生态研究.
- 促进科学可重复性,并推进气候变化影响研究.
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