DustSCAN:五年 (2018-2022) 每小时的数据集,来自SEVIRI的尘埃
Faisal AlNasser1, Dara Entekhabi2
1Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, 02139, USA. alnasser@mit.edu.
Scientific data
|June 8, 2024
概括
一个新的每小时数据集,DustSCAN,使用卫星图像跟踪空气中的矿物尘埃羽毛. 这一进步为尘暴动态,来源和影响提供了详细的见解,改善了空气质量和气候监测.
科学领域:
- 地球和大气科学 地球和大气科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 空气中的矿物灰尘会影响空气质量,人类健康和全球气候.
- 目前的尘埃监测依赖于卫星气溶光学深度 (AOD) 检索,这些数据缺乏时间分辨率,无法精确地跟踪.
- 尘埃来源地区稀少的地面传感器限制了详细分析.
研究的目的:
- 介绍DustSCAN,一个新的五年,每小时的空气中的矿物尘埃羽毛数据集.
- 为详细分析尘暴动态,来源和轨迹提供一个框架.
- 为了增强对尘埃事件的时空理解.
主要方法:
- 利用Meteosat地球静止卫星上的旋转增强可见和红外图像仪 (SEVIRI) 的每小时红外图像.
- 开发了一种检测大气尘埃和跟踪每小时受尘埃影响的像素的方法.
- 应用了基于密度的应用程序与噪声的空间聚类 (DBSCAN) 算法,将像素聚合成离散的尘埃.
主要成果:
- 生成了DustSCAN,一个数据集,包括从2018年到2022年的9950个离散尘埃.
- 覆盖了主要的尘埃来源地区,包括撒哈拉,阿拉伯沙漠,以及西亚和中亚.
- 实现了每小时的时间分辨率,用于追踪尘埃.
结论:
- 通过提供前所未有的时空细节,DustSCAN显著推进了尘暴监测.
- 该数据集补充了现有的资源,并允许对尘埃事件特征进行深入分析.
- 这项工作为了解空气中的矿物尘埃影响的复杂性提供了一个新的框架.
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