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Title
Earth observation-based dwelling detection approaches in a highly complex refugee camp environment : a comparative study
AuthorSpröhnle, Kristin ; Tiede, Dirk ; Schoepfer, Elisabeth ; Füreder, Petra ; Svanberg, Anna ; Rost, Torbjörn
Published in
Remote sensing, Basel, 2014, Vol. 2014, Issue 6, page 9277-9297
PublishedMolecular Diversity Preservation International, 2014
LanguageEnglish
Document typeJournal Article
Keywords (EN)Feature_extraction / object-based_image_analysis_(OBIA) / dwelling_detection / population_estimation / refugee_camps / VHR_data
ISSN2072-4292
URNurn:nbn:at:at-ubs:3-1237 Persistent Identifier (URN)
DOI10.3390/rs6109277 
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 The work is publicly available
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Earth observation-based dwelling detection approaches in a highly complex refugee camp environment [15.82 mb]
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Abstract (English)

Abstract: For effective management of refugee camps or camps for internally displaced persons (IDPs) relief organizations need up-to-date information on the camp situation. In cases where detailed field assessments are not available, Earth observation (EO) data can provide important information to get a better overview about the general situation on the ground. In this study, different approaches for dwelling detection were tested using the example of a highly complex camp site in Somalia. On the basis of GeoEye-1 imagery,semi-automatic object-based and manual image analysis approaches were applied, compared and evaluated regarding their analysis results (absolute numbers, population estimation, spatial pattern), statistical correlations and production time. Although even the results of the visual image interpretation vary considerably between the interpreters, there is a similar pattern resulting from all methods, which shows same tendencies for dense and sparse populated areas. The statistical analyses revealed that all approaches have problems in the more complex areas, whereas there is a higher variance in manual interpretations with increasing complexity. The application of advanced rule sets in an object-based environment OPEN ACCESS Remote Sens. 2014, 6 9278 allowed a more consistent feature extraction in the area under investigation that can be obtained at a fraction of the time compared to visual image interpretation if large areas have to be observed.