Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26257
Title: An automated and integrated framework for dust storm detection based on OGC Web processing services
Authors: Xiao, F
Shea, GYK 
Wong, MS 
Campbell, J
Keywords: Dust storm
Google earth
HYSPLIT
MTSAT image
Web processing services
WRF
Issue Date: 2014
Publisher: Copernicus GmbH
Source: International archives of the photogrammetry, remote sensing and spatial information sciences, 2014, v. 40, no. 2, p. 151-156 How to cite?
Journal: International archives of the photogrammetry, remote sensing and spatial information sciences 
Abstract: Dust storms are known to have adverse effects on public health. Atmospheric dust loading is also one of the major uncertainties in global climatic modelling as it is known to have a significant impact on the radiation budget and atmospheric stability. The complexity of building scientific dust storm models is coupled with the scientific computation advancement, ongoing computing platform development, and the development of heterogeneous Earth Observation (EO) networks. It is a challenging task to develop an integrated and automated scheme for dust storm detection that combines Geo-Processing frameworks, scientific models and EO data together to enable the dust storm detection and tracking processes in a dynamic and timely manner. This study develops an automated and integrated framework for dust storm detection and tracking based on the Web Processing Services (WPS) initiated by Open Geospatial Consortium (OGC). The presented WPS framework consists of EO data retrieval components, dust storm detecting and tracking component, and service chain orchestration engine. The EO data processing component is implemented based on OPeNDAP standard. The dust storm detecting and tracking component combines three earth scientific models, which are SBDART model (for computing aerosol optical depth (AOT) of dust particles), WRF model (for simulating meteorological parameters) and HYSPLIT model (for simulating the dust storm transport processes). The service chain orchestration engine is implemented based on Business Process Execution Language for Web Service (BPEL4WS) using open-source software. The output results, including horizontal and vertical AOT distribution of dust particles as well as their transport paths, were represented using KML/XML and displayed in Google Earth. A serious dust storm, which occurred over East Asia from 26 to 28 Apr 2012, is used to test the applicability of the proposed WPS framework. Our aim here is to solve a specific instance of a complex EO data and scientific model integration problem by using a framework and scientific workflow approach together. The experimental result shows that this newly automated and integrated framework can be used to give advance near real-time warning of dust storms, for both environmental authorities and public. The methods presented in this paper might be also generalized to other types of Earth system models, leading to improved ease of use and flexibility.
Description: ISPRS Technical Commission II Midterm Symposium 2014, Toronto, 6-8 October 2014
URI: http://hdl.handle.net/10397/26257
ISSN: 1682-1750
EISSN: 2194-9034
DOI: 10.5194/isprsarchives-XL-2-151-2014
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

46
Last Week
0
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.