Hennen, Mark, White, Kevin and Shagedanova, Maria 2019. An assessment of SEVIRI imagery at various temporal resolutions and the effect on accurate dust emission mapping. Remote Sensing 11 (8) , 918. 10.3390/rs11080918 |
Preview |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (6MB) | Preview |
Abstract
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).
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Earth and Environmental Sciences |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) |
Uncontrolled Keywords: | Dust emission, SEVIRI, Remote Sensing, Middle East |
Publisher: | MDPI |
ISSN: | 2072-4292 |
Date of First Compliant Deposit: | 23 November 2021 |
Date of Acceptance: | 9 April 2019 |
Last Modified: | 15 May 2023 19:06 |
URI: | https://orca.cardiff.ac.uk/id/eprint/145460 |
Citation Data
Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
Edit Item |