Impact of Natural Disturbances on the Forest Ecosystems within Chernobyl Exclusion Zone Estimated by LandTrendr Algorithm
Biotechnology, Ecology & Sustainable Development
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First published on this website: 01.11.2019 - 20:42
Abstract
Chernobyl forest ecosystems face a number of the local and global changes that may dampen their resilience. Current generation of remote sensing applications such as temporally segmentation technique LandTrendr could foster efforts for capturing dynamic patterns of natural disturbances and subsequent links to the climate and land management alterations.
References
[1] Ager, A., Lasko, R., Myroniuk, V., Zibtsev, S. et al. (2019). The wildfire problem in areas contaminated by the Chernobyl disaster. Science of the Total Environment. Vol. 696.
[2] Kennedy, R., Yang, Z., Cohen, W. B. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms. Remote Sensing of Environment. Vol. 114, 2897-2910.
[3] Nguyen, T., Jones, S., Soto-Borelov, M., Haywood, A., Hislop, S. (2018). A spatial and temporal analysis of forest dynamics using Landsat time-series. Remote Sensing of Environment,.Vol. 217, 461-475.
[4] Tikhomirov, F. A., Scheglov, A. I. (1999). Main investigation results on the forest radioecology in the Kyshtym and Chernobyl accident zones. Science of the Total Environment. Vol. 157, 45-57.
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