Title
Towards semi-automated satellite mapping for humanitarian situational awareness
Abstract
Very high resolution satellite imagery used to be a rare commodity, with infrequent satellite pass-over times over a specific area-of-interest obviating many useful applications. Today, more and more such satellite systems are available, with visual analysis and interpretation of imagery still important to derive relevant features and changes from satellite data. In order to allow efficient, robust and routine image analysis for humanitarian purposes, semi-automated feature extraction is of increasing importance for operational emergency mapping tasks. In the frame of the European Earth Observation program COPERNICUS and related research activities under the European Union's Seventh Framework Program, substantial scientific developments and mapping services are dedicated to satellite based humanitarian mapping and monitoring. In this paper, recent results in methodological research and development of routine services in satellite mapping for humanitarian situational awareness are reviewed and discussed. Ethical aspects of sensitivity and security of humanitarian mapping are deliberated. Furthermore methods for monitoring and analysis of refugee/internally displaced persons camps in humanitarian settings are assessed. Advantages and limitations of object-based image analysis, sample supervised segmentation and feature extraction are presented and discussed.
Year
DOI
Venue
2014
10.1109/GHTC.2014.6970315
Global Humanitarian Technology Conference
Keywords
Field
DocType
feature extraction,geophysical techniques,image segmentation,satellite communication,COPERNICUS,European Earth observation program,European Union seventh framework program,displaced persons camps,humanitarian mapping,humanitarian settings,humanitarian situational awareness,mapping services,object-based image analysis,operational emergency mapping tasks,refugee camps,routine image analysis,satellite data,satellite imagery,satellite pass-over times,satellite systems,semiautomated feature extraction,semiautomated satellite mapping,supervised segmentation,visual analysis,humanitarian situational awareness,monitoring,satellite mapping
Data science,Computer vision,Satellite,Satellite imagery,Situation awareness,Visualization,Computer science,Feature extraction,Artificial intelligence,Earth observation,European union,Internally displaced person
Conference
ISSN
Citations 
PageRank 
2377-6919
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Stefan Voigt102.70
Elisabeth Schoepfer2185.99
Christoff Fourie371.88
Alexander Mager400.34