226
Views
7
CrossRef citations to date
0
Altmetric
Articles

Monitoring environmental health using SPOT-VEGETATION-derived and field-measured spectral indices in Karabash, Russia

, , , &
Pages 2516-2533 | Received 16 Nov 2012, Accepted 06 Feb 2013, Published online: 27 Mar 2014
 

Abstract

The objective of this study was to use satellite imagery combined with field-based spectral analysis to assess the impacts of mining-related activities on vegetation around the smelter town of Karabash, South Ural Mountains of Russia. Time series analysis of normalized difference vegetation index (NDVI) and fraction of absorbed photosynthetically active radiation (FAPAR) images derived from Système Pour l’Observation de la Terre (SPOT)-VEGETATION was combined with the analysis of vegetation stress indices calculated from 140 in situ spectral measurements. Correlation analyses have revealed that vegetation stress affects vegetation density and resilience, and that it impedes a gradual increase in photosynthetic activity in the most affected areas ranging up to 10 km from the smelter. The prolongation of the growing season of healthier vegetation at greater distances, showing higher vegetation density, lower variation, and a more positive trend over time, can possibly be related to climate change. Although land cover shows a concentric pattern around Karabash, the analysis revealed that both spectral and time series-derived indices are defined more by the distance to the Karabash smelter and vegetation stress, rather than by the land cover class.

View correction statement:
C. Tote*, S. Delalieux, M. Goossens, B.J. Williamson, and E. Swinnen. 2014. “Monitoring Environmental Health Using SPOT-VEGETATION-Derived and Field-Measured Spectral Indices in Karabash, Russia.” International Journal of Remote Sensing 35 (7): 2516–2533. doi:10.1080/01431161.2014.883103

Acknowledgements

The research leading to these results was performed in the frame of the ImpactMin project and has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 282621.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.