@inproceedings{329d0a97308b4c9e9e9275dbdde78200,
title = "Assesment of ENVI Forest Health Tool in Detection of Dust and Seepage Contaminated Forest Areas",
keywords = "dust, geographic information systems, geophysics computing, image classification, image processing, soil pollution, vegetation mapping, Carotenoid Reflectance Index 1, ENVI forest health tool, ENVI software package, Lahnaslampi mine, Normalized Difference Vegetation Index, North-East Finland, Water Band Index, dust detection, forest damage detection, forest monitoring, hyperspectral data analysis, seepage contaminated forest areas, spatial map, vegetation indices, Data analysis, Geology, Hyperspectral imaging, Hyperspectral sensors, Ores, Reflectivity, Software packages, Stress, Testing, Vegetation mapping, ENVI, contamination, forest health",
author = "J. Tuominen and T. Lipping and V. Kuosmanen",
year = "2008",
month = jul,
day = "1",
doi = "10.1109/IGARSS.2008.4779612",
language = "English",
isbn = "978-1-4244-2807-6",
volume = "3",
pages = "III -- 1358--III -- 1361",
booktitle = "Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International",
note = "IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 01-01-1900",
}