COMBINED SPATIAL POINT PATTERN ANALYSIS AND REMOTE SENSING FOR ASSESSING LANDMINE AFFECTED AREAS

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.