Title
Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response
Abstract
This paper presents a novel approach to integrate the latest generation very high-resolution earth observation imagery into the operational workflow of geospatial information support for emergency response actions. The core concept behind this approach is the implementation of an image pyramid structure that allows each image tile to be addressed separately. We propose a novel way to collate geospatial feature data from distributed sources and integrate them in visualization and image processing. The system components enable rapid collaborative mapping, support for in situ data collection, customized on-demand image processing, and geospatial data queries and near instantaneous map visualization. We adapt functional software modules that are available in the public and open source domain. The approach is demonstrated with a test case in a rapid damage assessment scenario using very high-resolution optical satellite QuickBird and IKONOS imagery over Southern Lebanon from 2006.
Year
DOI
Venue
2009
10.1109/JSTARS.2009.2015770
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Keywords
Field
DocType
data visualisation,feature extraction,geophysical signal processing,geophysical techniques,geophysics computing,image processing,remote sensing,AD 2006,Asia,Earth Observation image,IKONOS satellite imagery,QuickBird satellite,Southern Lebanon,collaborative emergency response,damage assessment scenario,data collection,data visualization,feature extraction,geospatial data processing function,geospatial feature data,image pyramid structure,map visualization,on-demand image processing,optical satellite,rapid collaborative mapping,rapid emergency response,Collaborative mapping,feature extraction,geospatial queries,image processing,information management,on-demand processing,visualization,web services
Data mining,Remote sensing,Pyramid (image processing),Geospatial PDF,Image processing,Artificial intelligence,Geospatial analysis,Computer vision,Data visualization,Visualization,Feature extraction,Mathematics,Collaborative mapping
Journal
Volume
Issue
ISSN
2
1
1939-1404
Citations 
PageRank 
References 
24
1.25
7
Authors
4
Name
Order
Citations
PageRank
Brunner, D.1241.25
Guido Lemoine222736.45
Thoorens, F.-X.3241.25
Lorenzo Bruzzone42110126.75