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.
Chan, JC-W, Alegria Caicedo, AC, Veratelli, MG, Folegani, M & Sahli, H 2012, Combined spatial point pattern analysis and remote sensing for assessing landmine affected areas. in IEEE International Geoscience and Remote Sensing Symposium IGARSS 2012. IEEE, pp. 5368-5371, 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22/07/12.
Chan, J. C.-W., Alegria Caicedo, A. C., Veratelli, M. G., Folegani, M., & Sahli, H. (2012). Combined spatial point pattern analysis and remote sensing for assessing landmine affected areas. In IEEE International Geoscience and Remote Sensing Symposium IGARSS 2012 (pp. 5368-5371). IEEE.
@inproceedings{ffce4007895f405f8efdca9c05495ef7,
title = "Combined spatial point pattern analysis and remote sensing for assessing landmine affected areas",
abstract = "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.",
keywords = "risk estimation, landmines, kernel density function, risk indicators",
author = "Chan, {Jonathan Cheung-Wai} and {Alegria Caicedo}, {Aura Cecilia} and M.g. Veratelli and M. Folegani and Hichem Sahli",
year = "2012",
month = jul,
day = "27",
language = "English",
isbn = "978-1-4673-1158-8",
pages = "5368--5371",
booktitle = "IEEE International Geoscience and Remote Sensing Symposium IGARSS 2012",
publisher = "IEEE",
note = "2012 IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 22-07-2012 Through 27-07-2012",
}