Title :
Assesment of ENVI Forest Health Tool in Detection of Dust and Seepage Contaminated Forest Areas
Author :
Tuominen, Jyrki ; Lipping, Tarmo ; Kuosmanen, Viljo
Author_Institution :
Tampere Univ. of Technol., Pori
Abstract :
ENVI software package is widely used in hyperspectral data analysis. ENVI features a forest health tool, which creates a spatial map showing the overall health and vigor of a forested region. General and quantitative forest health index, capable of detecting different types of forest damages, would be very useful in forest monitoring. The main objective of this study was to assess forest health tool´s capability to detect dust and seepage contaminated forest areas. These areas were classified using various combinations of vegetation indices (VIs). The combination of Normalized Difference Vegetation Index, Carotenoid Reflectance Index 1 and Water Band Index produced the best classification results. Overall results of this study shows that ENVI forest health tool can provide valuable information when detecting 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; image classification; 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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779612
