Journal
REMOTE SENSING
Volume 15, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/rs15030719
Keywords
vegetation indices; post-mining area; Landsat; Geographically Weighted Regression (GWR); Geographic Information System (GIS); spatial statistics
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This study investigates the changes in vegetation condition in a post-mining area over a 30-year period. The results show an overall improvement in flora condition, except for the northwestern part of the former mining field. Four zones with significant changes in flora condition were identified. The study demonstrates that past mining activities have had a significant impact on the plant cover state of the analyzed region.
The vegetation of the post-mining areas is subject to constant and significant changes. Reclamation works, carried out after the cessation of mineral extraction, contribute to the intensive development of new plant species. However, secondary deformations, occurring even many years after the end of exploitation, may cause the degradation of the vegetation cover. It is, therefore, an important issue to identify changes in flora conditions and to determine whether and to what extent past mining has a negative impact on the plant cover state. The objectives of this research have been as follows: (1) analysis of the flora condition in the post-mining area in the 1989-2019 period, (2) identification of sites with significant changes in vegetation state, and (3) modeling of the relationship between the identified changes in vegetation and former mining activities. The research was carried out in the area of the former opencast and underground lignite mine Friendship of Nations-Babina Shaft, which is located in the present-day Geopark (Western Poland), using Landsat TM/ETM+/OLI derived vegetation indices (NDVI, NDII, MTVI2) and GIS-based spatial regression. The results indicate a general improvement in flora condition, especially in the vicinity of post-mining waste heaps and former opencast excavations, with the exception of the northwestern part of the former mining field where the values of all of the analyzed vegetation indices have decreased. Also, four zones of statistically significant changes in the flora condition were identified. Finally, the developed GWR models demonstrate that former mining activities had a significant influence on changes in the plant cover state of the analyzed region.
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