Environmental impact assessment of limestone quarry using multispectral satellite imagery.
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| Title: | Environmental impact assessment of limestone quarry using multispectral satellite imagery. |
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| Authors: | Kumar, Vignesh1 (AUTHOR), Yarrakula, Kiran2 (AUTHOR) kiranyadavphysik@gmail.com |
| Source: | Earth Science Informatics. Sep2022, Vol. 15 Issue 3, p1905-1923. 19p. |
| Subject Terms: | *Limestone quarries & quarrying, *Remote-sensing images, *Strip mining, *Analytic hierarchy process, *Environmental impact analysis, *Landsat satellites, *Milankovitch cycles |
| Abstract: | Environmental Impact Assessment (EIA) is a prominent technology to assess the environmental changes in the open cast Limestone mining region. However, traditional EIA methods and Limestone deposit identification involves time consuming, cost effective and manpower requirements. We cope-up these problem and incorporated with different satellite image processing techniques and field studies to estimate the impact on environment. Landsat imageries have been used to calculate NDVI, NDWI, LULC, LST for the buffer zone within a 10 km radius of the mines from the period between 1997–2017. The noise pollution of the mining region is identified using a random sample method. To access water quality analysis in the area, the Water Quality Index (WQI) is generated using 12 water quality parameters. EIA is analyzed using Analytical Hierarchy Process (AHP), Multi-Criteria Decision Analysis (MCDA) and future EIA is also predicted using empirical Bayesian Kriging approach. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | Environmental Impact Assessment (EIA) is a prominent technology to assess the environmental changes in the open cast Limestone mining region. However, traditional EIA methods and Limestone deposit identification involves time consuming, cost effective and manpower requirements. We cope-up these problem and incorporated with different satellite image processing techniques and field studies to estimate the impact on environment. Landsat imageries have been used to calculate NDVI, NDWI, LULC, LST for the buffer zone within a 10 km radius of the mines from the period between 1997–2017. The noise pollution of the mining region is identified using a random sample method. To access water quality analysis in the area, the Water Quality Index (WQI) is generated using 12 water quality parameters. EIA is analyzed using Analytical Hierarchy Process (AHP), Multi-Criteria Decision Analysis (MCDA) and future EIA is also predicted using empirical Bayesian Kriging approach. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 18650473 |
| DOI: | 10.1007/s12145-022-00845-0 |
