Please use this identifier to cite or link to this item:
|Title:||Methods for the Analysis of Time-series of High-resolution Satellite Images for the Assessment of Logging in the Taiga|
|Authors:||BARTALEV S.a.; KURYATNIKOVA T.s.; STIBIG HANS-JURGEN|
|Citation:||Proceedings of the 2nd Open All-Russian conference on Current Aspects of Remote Sensing of Earth from Space|
|Type:||Articles in periodicals and books|
|Abstract:||Although timber production in Russian forests is of great economic importance, forest logging is a main factor of anthropogenic change in boreal forest ecosystems. Regularly updated information on the scale and the temporal dynamic of these changes is therefore desired. The available historical imagery from the Landsat satellites series provides an unique opportunity for a retrospective analysis of forest cover dynamics in Russian forests resulting from the logging activities of the last two decades. This paper describes possibilities of using a time-series of Landsat images for the mapping and area assessment of forest clear-cuts in the Russian Taiga. The study was carried out for a test site in the Komi Republic, comparing different methods for clear cut detection, based on a multi-temporal set of high-resolution Landsat satellite data. The study examines the potential of such satellite data to assess the long-term impact of logging on forest cover at regional and national levels.|
|JRC Directorate:||Sustainable Resources|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.