This work extends our previous work on risk estimation of a mine contaminated area using mine action information such as minefield records and mine incidence, and feature indicators extracted from satellite images. Changes in temporal NDVI's and access to main transport routes and protective landscape such as forest edge are used to indicate potentially risk areas. All features are harmonized in an GIS environment. Kernel density function is performed on landmine and Earth Observation indicators. Safe areas are identified by land-in-use. A final risk map is produced by merging safe areas and risk estimation layer.
Original languageEnglish
Title of host publicationIEEE International Geoscience and Remote Sensing Symposium IGARSS 2012
PublisherIEEE
Pages5368-5371
Number of pages4
ISBN (Print)978-1-4673-1158-8
Publication statusPublished - 27 Jul 2012
Event2012 IEEE International Geoscience and Remote Sensing Symposium - Munich, Germany
Duration: 22 Jul 201227 Jul 2012

Conference

Conference2012 IEEE International Geoscience and Remote Sensing Symposium
CountryGermany
CityMunich
Period22/07/1227/07/12

    Research areas

  • risk estimation, landmines, kernel density function, risk indicators

ID: 2338917