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Abstract <p>The article presents an assessment algorithm for vegetation in areas of coal dust pollution. Two&#xa0;problems are solved: delineation of a dust pollution area by the Enhanced Coal Dust Index with data clustering; calculation of vegetation indexes in selected clusters for the vegetation analysis. Clustering used the Hill Climbing algorithm. The source data were Sentinel-2 imagery obtained during the spring and summer seasons. The algorithm was tested as a case-study of the mining area of the Urgal Coal Mine in the Khabarovsk Krai. The test data for a period one year long show the vegetation damage on drawing nearer the test mine area.</p>

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Assessment Algorithm for Plant Communities of Natural Biota in Areas of Mine Dust Deposition

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • Yu. P. Galchenko,
  • K. S. Tsygulev,
  • Yu. A. Ozaryan,
  • T. V. Kozhevnikova,
  • S. A. Orlov

摘要

Abstract

The article presents an assessment algorithm for vegetation in areas of coal dust pollution. Two problems are solved: delineation of a dust pollution area by the Enhanced Coal Dust Index with data clustering; calculation of vegetation indexes in selected clusters for the vegetation analysis. Clustering used the Hill Climbing algorithm. The source data were Sentinel-2 imagery obtained during the spring and summer seasons. The algorithm was tested as a case-study of the mining area of the Urgal Coal Mine in the Khabarovsk Krai. The test data for a period one year long show the vegetation damage on drawing nearer the test mine area.