Title: Development of an Object-oriented Classification Model using Very High Resolution Satellite Imagery for Monitoring Diamond Mining Activity
Authors: PAGOT ELODIEPESARESI MARTINOBUDA DIRK
Citation: INTERNATIONAL JOURNAL OF REMOTE SENSING vol. 29 no. 2 p. 449-512
Publisher: TAYLOR & FRANCIS LTD
Publication Year: 2008
JRC N°: JRC37851
ISSN: 0143-1161
URI: http://www.informaworld.com/smpp/content~db=all~content=a773247172?words=pagot*
http://publications.jrc.ec.europa.eu/repository/handle/JRC37851
DOI: 10.1080/01431160601047771
Type: Articles in Journals
Abstract: Very high resolution (VHR) Ikonos images were analysed to assess the state of activity of a diamond mine extraction site in Africa. The methodology uses a dynamic approach, based on an object-oriented classification of two sets of satellite remote sensing data that were acquired four months apart. The data was processed according to a supervised maximum likelihood classification system, using fuzzy sets of membership functions. Additionally, field information gathered from experts in the sector of diamond mining was used. The results confirm the usefulness of VHR satellite imagery for the identification of both artisanal and industrial diamond mining. The bi-temporal dataset allows information on the evolution of the activity to be derived during a first period.
JRC Institute:Institute for the Protection and Security of the Citizen

Files in This Item:
There are no files associated with this item.


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