| Autor: |
Sachidanandan, Amritha1, Manickam, Vijayabhama1 vijayabhama.m@tnau.ac.in, Kannan, Balaji2, Krishnamoorthi, Baranidharan3, Muthuswamy, Kalpana4, Ramalingam, Gangai Selvi1 |
| Předmět: |
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| Zdroj: |
Fresenius Environmental Bulletin. 2024, Vol. 33 Issue 10, p769-784. 16p. |
| Abstrakt: |
The heaps of soil left behind after mining activities are termed as mine spoil or overburden. The environmental impacts due to mining, including vegetation destruction and soil degradation, necessitates restoration measures like mine spoil afforestation. This review examines approaches undertaken globally for mine spoil afforestation, highlighting the need for comprehensive assessments to guide strategic development. The effectiveness of spatio-temporal analysis (STA), a technique which combines spatial and temporal dimensions, in evaluating the evolution of vegetative covering in mine spoil regions over time is examined in this regard. Leveraging STA techniques like LULC and various indices including NDVI, EVI, RVI, NDMI, NDISI offer promising avenues for enhanced monitoring and assessment by integrating advancements in remote sensing and machine learning. In general, NDVI is more preferred for assessing vegetative cover. For fractional vegetation cover or the leaf area index, advanced indices like SAVI and GEMI are recommended. Further exploring the recent advances in STA holds potential for addressing various challenges involving data quality and spectral resolution and offers valuable insights for sustainable land management practices. Through a comprehensive analysis of contemporary literature, this study enhances our understanding of the complex dynamics associated with mine spoil afforestation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
| Externí odkaz: |
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