Experience of the application of remote sensing data in the problems of geo-ecological monitoring of the coal mining area

Abstract

The experience of solving problems of geoecological monitoring of coal mining region with the use of remote sensing data is presented. The results of control over the boundaries of coal-mining enterprises, assessment of the degree of self-growth of dumps, monitoring of the state of vegetation near objects of coal mining and dust load of the area are shown.

Technology of establishment of terrestrial objects aerospace survey-based object-oriented monitoring systems

“…To ensure the effective interpretation of the changes that occur to a monitoring object with airspace images, the interpretation system has to be capable of operating the knowledge of its structural and behavioral properties and their relations with the spectral, textural, and structural properties of the analyzed scenes. One of the most promising approaches to the design of the multipurpose software and technological monitoring media is the object-oriented paradigm [6][7][8][9][10] that applies the object-oriented approach principles to the presentation of special data and the design of algorithms for the symbol interpretation of images. The review of the current publications brings us to the conclusion that both Russian and foreign research groups are actively studying the methods and algorithms of object-oriented monitoring manifested in the object segmentation and classification models [8][9][10][11][12].…”

“…One of the most promising approaches to the design of the multipurpose software and technological monitoring media is the object-oriented paradigm [6][7][8][9][10] that applies the object-oriented approach principles to the presentation of special data and the design of algorithms for the symbol interpretation of images. The review of the current publications brings us to the conclusion that both Russian and foreign research groups are actively studying the methods and algorithms of object-oriented monitoring manifested in the object segmentation and classification models [8][9][10][11][12]. The object-oriented methods are being tested and adjusted to different classes of objects including agricultural fields, water bodies, coal mining areas for the studies of dust emissions [9,[12][13] etc.…”

“…The review of the current publications brings us to the conclusion that both Russian and foreign research groups are actively studying the methods and algorithms of object-oriented monitoring manifested in the object segmentation and classification models [8][9][10][11][12]. The object-oriented methods are being tested and adjusted to different classes of objects including agricultural fields, water bodies, coal mining areas for the studies of dust emissions [9,[12][13] etc. The most remarkable results in the development of object-oriented monitoring methods and systems were achieved by the scientists of the Russian Space Research Institute using Vega-Science multipurpose system [13].…”