琥珀开采影响区地理信息建模方法

A. Martyn, O. Kachanovskyi, S. Bulakevych
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引用次数: 0

摘要

本文以乌克兰里夫纳地区为例,考虑了地理信息技术在乌克兰琥珀开采影响地区地理空间建模中的现代可能性。本研究的目的是提出一种解码卫星图像材料的方法,用于对受琥珀开采影响的地区进行地理信息建模。分析了现代卫星遥感实际资料结合地理空间模型在土地监测中的应用。研究发现,NDVI的计算可以更清晰地识别受影响地区的轮廓。提出了一种基于正差水分指数的土壤覆盖含水率评价方法。报告指出,土壤湿度评估是卫星图像专题处理的要素之一,它使人们能够确定用水力法开采琥珀的地区。鉴于照片图像光谱分析的规律性和特点,提出将琥珀开采影响区地理信息建模方法作为遥感影像确定受影响地的一种实际实施方法。该方法的使用以一个具体的例子为例,即在里夫纳地区杜布罗维察森林的国有土地上。该方法将为确定受影响地块及其进一步监测的决定提供技术基础。此外,文中提供的方法将有助于确定土地复垦的方向和受影响土地的类别。
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Methodology of geoinformation modeling of areas affected by amber mining
The article considers modern possibilities of geoinformation technologies for geospatial modeling of areas affected by amber mining in Ukraine on the example of Rivne Region. The purpose of the study is to present a methodology for decoding satellite image materials for geoinformation modeling of the areas affected by amber mining. The use of actual materials of remote sensing of modern satellite systems in combination with geospatial models during land monitoring is analyzed. It was found that the calculation of the NDVI makes it possible to identify the contours of affected areas more clearly. An approach for assessing soil cover moisture content based on the use of norm-difference water indices is presented. It is noted that the assessment of soil moisture is one of the elements of thematic processing of satellite images which makes it possible to identify the areas where amber mining by hydraulic method was carried out. It is offered to consider the method of geoinformation modeling of areas affected by amber mining as a method of practical implementation of determining affected lands using remote sensing images, due to the regularities and features of spectral analysis of a photo image. The use of the methodology is presented on a specific example, namely on state-owned lands of Dubrovytsia Forestry of Rivne Region. The methodology will provide a technical basis for the decisions on the identification of affected land plots and their further monitoring. In addition, the methodology offered in the article will help to determine the directions of land reclamation and groups of affected lands.
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来源期刊
自引率
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发文量
25
审稿时长
8 weeks
期刊最新文献
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