Estimation of land surface temperature and distribution across Land use/land cover in response to coal mining activity in V. D. Yelevsky coal mine area – Russia

<p>Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geophysical, biophysical, and land use cover. This study attempts to retrieve the current statue of V. D. Yelevsky coal mine area in Russia estimate Land in the of the years of 2006, 2010, 2019. Furthermore, shows distribution of land among cover implies spatial correlation between normalized different vegetation index by using Landsat 5 and Landsat 8. The results show that of coal portion has increased from 43.89 km² in 2006 to 111.40 in 2019. Also, three periods maximum images was recorded in coal (32.05°C in 2006, 31.24°C in 2010 32.81°C in 2019), while minimum value types varies years. In 2006 of 12.36°C in water bodies area, 12.36°C across forest again 18.41°C water Consequently, average of overall for observed 18°C to 22.2°C, it means changes have been period of 2006 to 2019. On the other hand, strong negative correlations with square value of ( ² = 0.93 0.99 0.87 in 2019) respectively.</p>