ANNOUNCEMENTS
Mining activities play a critical role in providing raw materials for energy production and industrial materials. However, they can also lead to adverse effects such as erosion, deforestation, and pollution. Environmental assessment is crucial for understanding the potential impact of mining projects and implementing mitigation measures. This research aims to assess the mining region to comprehend the rapid changes occurring in the vicinity.
The primary objectives of the study are as follows: 1) analyzing the extent of degradation through land use and land cover (LULC) change deduction; 2) conducting a time series analysis of the Normalized Difference Vegetation Index (NDVI) and bare soil to investigate dynamic changes in vegetation canopy and establish correlations between increasing bare soil and declining vegetation in the mining area; 3) performing an integrated ecological remote sensing analysis using environmental parameters such as Land Surface Temperature (LST), NDVI, Wetness, and IBI.
For the purpose of achieving these goals, the Sentinel (for LULC classification) and Landsat datasets (for RSEI index) are utilized. Software such as GEE and ArcGIS are primarily utilized for research purposes.
By encompassing various research aspects aimed at highlighting the potential impact of mining on the ecological environment, the RSEI index is utilized to classify ecological conditions into five categories: very poor, poor, medium, good, and very good. The results indicate that the mining vicinity area predominantly falls within the very poor and poor categories, indicating a significant increase in its dimensions.
Keywords: Environment Assessment, GEE, Time series, RSEI, PCA.
