Zoning of Landscapes Exposed to Technogenic Emissions from the Norilsk Mining and Smelting Works

Zoning of Landscapes Exposed to Technogenic Emissions from the Norilsk Mining and Smelting Works In this study, we have analyzed the degradation of pretundra forests and distinguished the levels of pollution using ground-based and remote-sensing data. The study region is located in the area exposed to emissions from the Norilsk Mining and Smelting Works. The main components of emissions are sulfur dioxide, nitrogen oxide, and heavy metals. Currently, the zone of damaged forests extends for more than 200 km. The comparison of the zones of degradation of pretundra vegetation distinguished in satellite images with the results of ground-based observations yielded high similarity coefficients (0.73–0.83) of the Kappa statistics. The zones of vegetation state were classified by NDVI values. The images from the NOAA/AVHRR satellite may be used for delimiting the zones of vegetation degradation by the proposed method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

Zoning of Landscapes Exposed to Technogenic Emissions from the Norilsk Mining and Smelting Works

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2003 by MAIK “Nauka/Interperiodica”
Subject
Life Sciences; Ecology
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1023/A:1027356316112
Publisher site
See Article on Publisher Site

Abstract

In this study, we have analyzed the degradation of pretundra forests and distinguished the levels of pollution using ground-based and remote-sensing data. The study region is located in the area exposed to emissions from the Norilsk Mining and Smelting Works. The main components of emissions are sulfur dioxide, nitrogen oxide, and heavy metals. Currently, the zone of damaged forests extends for more than 200 km. The comparison of the zones of degradation of pretundra vegetation distinguished in satellite images with the results of ground-based observations yielded high similarity coefficients (0.73–0.83) of the Kappa statistics. The zones of vegetation state were classified by NDVI values. The images from the NOAA/AVHRR satellite may be used for delimiting the zones of vegetation degradation by the proposed method.

Journal

Russian Journal of EcologySpringer Journals

Published: Oct 7, 2004

References

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