Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 50250 10.2205/2021ES000778 ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ 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 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 Azeez Al-shateri Hoshmand Ahmed Azeez Al-shateri Hoshmand Ahmed Sulaimani Polytechnic University Sulaymaniyah Ирак Sulaimani Polytechnic University Sulaymaniyah Iraq 18 05 2022 18 05 2022 22 2 1 12 22 02 2021 01 10 2021 https://rjes.ru/en/nauka/article/50250/view

<p>Land surface temperature is&nbsp;an&nbsp;important factor in&nbsp;many areas, such as&nbsp;global climate change, hydrological, geophysical, biophysical, and land use land cover. This study attempts to&nbsp;retrieve the current statue of&nbsp;V.&nbsp;D.&nbsp;Yelevsky coal mine area in&nbsp;Russia and estimate Land surface temperature in&nbsp;the area of&nbsp;the years of&nbsp;2006, 2010, and 2019. Furthermore, the study shows the distribution of&nbsp;land surface temperature among land use land cover in&nbsp;the area and implies spatial correlation between land surface temperature and normalized different vegetation index by&nbsp;using Landsat 5&nbsp;and Landsat&nbsp;8. The results show that the statue of&nbsp;coal mine portion has increased from 43.89 km² in&nbsp;2006 to&nbsp;111.40 km² in&nbsp;2019. Also, in&nbsp;the three periods maximum images temperature was recorded in&nbsp;coal mine area (32.05°C in&nbsp;2006, 31.24°C in&nbsp;2010 and 32.81°C in&nbsp;2019), while minimum temperature value of&nbsp;land use land cover types varies among the years. In&nbsp;2006 minimum value of&nbsp;12.36°C recorded in&nbsp;water bodies area, 12.36°C across forest area, and again 18.41°C across water bodies in&nbsp;2019. Consequently, the average land surface temperature of&nbsp;overall area for the three observed years has increased from 18°C to&nbsp;22.2°C, it&nbsp;means that changes of&nbsp;land surface temperature have been observed from the period of&nbsp;2006 to&nbsp;2019. On&nbsp;the other hand, the results show that land surface temperature and normalized different vegetation index for the three study years have strong negative correlations with 𝑅 square value&nbsp;of (𝑅² = 0.93 in&nbsp;2006, 𝑅² = 0.99 in&nbsp;2010 and 𝑅² = 0.87 in&nbsp;2019) respectively.</p>

<p>Land surface temperature is&nbsp;an&nbsp;important factor in&nbsp;many areas, such as&nbsp;global climate change, hydrological, geophysical, biophysical, and land use land cover. This study attempts to&nbsp;retrieve the current statue of&nbsp;V.&nbsp;D.&nbsp;Yelevsky coal mine area in&nbsp;Russia and estimate Land surface temperature in&nbsp;the area of&nbsp;the years of&nbsp;2006, 2010, and 2019. Furthermore, the study shows the distribution of&nbsp;land surface temperature among land use land cover in&nbsp;the area and implies spatial correlation between land surface temperature and normalized different vegetation index by&nbsp;using Landsat 5&nbsp;and Landsat&nbsp;8. The results show that the statue of&nbsp;coal mine portion has increased from 43.89 km² in&nbsp;2006 to&nbsp;111.40 km² in&nbsp;2019. Also, in&nbsp;the three periods maximum images temperature was recorded in&nbsp;coal mine area (32.05°C in&nbsp;2006, 31.24°C in&nbsp;2010 and 32.81°C in&nbsp;2019), while minimum temperature value of&nbsp;land use land cover types varies among the years. In&nbsp;2006 minimum value of&nbsp;12.36°C recorded in&nbsp;water bodies area, 12.36°C across forest area, and again 18.41°C across water bodies in&nbsp;2019. Consequently, the average land surface temperature of&nbsp;overall area for the three observed years has increased from 18°C to&nbsp;22.2°C, it&nbsp;means that changes of&nbsp;land surface temperature have been observed from the period of&nbsp;2006 to&nbsp;2019. On&nbsp;the other hand, the results show that land surface temperature and normalized different vegetation index for the three study years have strong negative correlations with 𝑅 square value&nbsp;of (𝑅² = 0.93 in&nbsp;2006, 𝑅² = 0.99 in&nbsp;2010 and 𝑅² = 0.87 in&nbsp;2019) respectively.</p>

 Coal mine remote sensing Landsat 5 and 8 land surface temperature normalized difference vegetation index Coal mine remote sensing Landsat 5 and 8 land surface temperature normalized difference vegetation index N/A N/A

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