An Assessment of SEVIRI Imagery at Various Temporal Resolutions and the Effect on Accurate Dust Emission Mapping
An Assessment of SEVIRI Imagery at Various Temporal Resolutions and the Effect on Accurate Dust Emission Mapping
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DOI：
10.3390/rs11080918
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发表时间：
2019-04-02
期刊：
影响因子：
5
通讯作者：
Shahgedanova, Maria
中科院分区：
文献类型：
--
作者：
Hennen, Mark;White, Kevin;Shahgedanova, Maria
本文评估了使用旋转增强可见光和红外成像仪（SEVIRI）数据获得的15分钟、30分钟和60分钟时间分辨率的红/绿色/蓝色（RGB）产品来监测中东地区的粉尘排放。从2006年1月到2006年12月，在整个中东地区记录了每一个时间分辨率的尘埃排放点源观测。以前的工作表明，使用SEVIRI数据是对其他遥感方法的重大改进，用于测绘撒哈拉沙漠的沙尘源，通过连续的图像，使沙尘暴观测，回到第一个排放点。然而，现有的最高时间分辨率（15分钟观测）每天产生96幅图像，导致数据管理要求明显高于30分钟和60分钟间隔提供的数据。为了优化未来的研究工作流程，本文研究了降低时间分辨率对中东地区观测到的沙尘排放事件的数量和空间分布的影响。结果表明，观察到的事件数量减少了17%，30分钟的分辨率和50%，60分钟的分辨率。这些差异随季节而变化，夏季减少最多（分别减少34%和64%）。
This paper evaluates the use of the Dust red/green/blue (RGB)' product derived from Spinning Enhanced Visible and Infrared Imager (SEVIRI) data at 15-min, 30-min, and 60-min temporal resolutions, for monitoring dust emissions in the Middle East. From January 2006 to December 2006, observations of dust emission point sources were recorded at each temporal resolution across the Middle East. Previous work has demonstrated that using SEVIRI data is a major improvement on other remote sensing methods for mapping dust sources in the Sahara, by enabling dust-storm observations through sequential images, back to the point of first emission. However, the highest temporal resolution available (15-min observations) produces 96 images per day, resulting in significantly higher data management requirements than data provided at 30-min and 60-min intervals. To optimize future research workflows, this paper investigates the effect of lowering the temporal resolution on the number and spatial distribution of observed dust emission events in the Middle East. The results show that the number of events observed reduced by 17% for 30-min resolution and 50% for 60-min resolution. These differences change seasonally, with the highest reduction observed in summer (34% and 64% reduction, respectively).