Abstract

The dynamics of land use/land cover (LULC) changes, the effect of coal mining on the LULC changes, and the regional environmental impact are discussed in this study. The different land use classes mainly Forest, Water Bodies, Road, Mining Area, Agriculture and Grass in the study area of V.D. Yalevsky coal field area in Kemerovo region of Russia are identified. On the other hand the impact of V.D. Yalevsky coal mine activities on LULC change on the environment and teritory are discussed. The LULC changes in the V.D. Yalevsky coal field area were analyzed for a period of 27 years e.g., from the year 1992 to 2019. The changes were detected on a 13-years time interval using Landsat-4 TM, Landsat-8 OLI. Furthermore supervised classification techniques using maximum likelihood method through ENVI (Environment for Visualizing Images) 5.1software was utilized. In addition post classification change detection method through ENVI was used to investigate the changes. The study reveals decrement in LULC categories of forest to 25.35km², water bodies to -0.94km², agriculture to -98.48km², road to -10.80km². However increment in the rate of mining area to 100.72km² and grass cover 34.86 km² during the study period. Meanwhile 90.18 % overall accuracy and (0.87) kappa coefficient for 1992 classified image, 93.41 % overall accuracy and (0.91)Kappa coefficient for 2006 classified image and 88.69 % overall accuracy and (0.85) kappa coefficient for 2019 classified image were obtained.

Highlights

  • Change detection is the process of identifying differences in the state of an object or phenomenon by observing it at different times [1]

  • The satellite data used for land use/land cover classification are derived from Landsat-4 Thematic Mapper for two–years time period of 1992 and 2006, whereas Landsat-8, OLI data is used for the year 2019

  • Six major land use and land cover (LULC) classes categories -forest, water bodies, road, mining area, agriculture and grass land were recorded in the study area

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Summary

Introduction

Change detection is the process of identifying differences in the state of an object or phenomenon by observing it at different times [1]. The earth’s surface changes are divided into two categories i.e. land use and land cover (LULC). The term land use stands for the purpose for which the specific piece of land is used for e.g. agriculture, urbanization, mining, etc. The term land cover stands for the features which are present on the earth’s surface for e.g. buildings, pavement, trees etc. There is no doubt that the coal mining expansion benefits the local GDP significantly, and causes environmental degradation and destroy original ecosystem balance due to the destruction of original land cover types [4]. Mining area caused a great deal of changes in landscape structure and enormous environmental disturbances, among them open-pit coal mine is one of the greatest landscape altering activities, and it’s difficult to restore surface coal mine to the original ecological landscape [5]

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