Abstract

The article demonstrates the advantages of a detailed analysis of remote sensing data for karstological purposes using the Google Earth Engine cloud platform and geographic information systems. The karst area within the Kishert gypsum and carbonate gypsum karst development area in Perm krai was chosen as the study area. The article demonstrates the application of space imagery classification with learning. The purpose of imagery classification is automatic zoning of the territory by type of land cover: meadows and croplands, forests, urbanized areas. In meadows and croplands, calculation of vegetation indices has been carried out in order to delineate potentially karst hazardous areas. The idea of using vegetation indices in assessing surface karst is based on the geobotanical properties of sinkholes in the study area. The relatively high values of vegetation indices within sinkholes reflect the fact that the sides, slopes, and bottoms of sinkholes are covered with shrubby, moisture-loving vegetation. This vegetation is interpreted successfully by calculation of vegetation indices under these conditions. Based on the spatial analysis of the distribution of potentially hazardous areas, a predictive model zoning the study area according to the degree of karst hazard was constructed. As a result of the quantitative assessment of the applicability of the methodology, we can conclude that the areas of coincidence of all four vegetation indices very accurately characterize the distribution of karst forms, and so the comprehensive research of the vegetation indices is very informative in assessing the surface karst distribution.

中文翻译：

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使用 Sentinel-2 卫星图像进行地表岩溶评估的自动化

摘要

本文展示了使用 Google Earth Engine 云平台和地理信息系统对用于喀斯特学目的的遥感数据进行详细分析的优势。选择彼尔姆边疆区Kishert石膏和碳酸盐石膏岩溶发育区内的岩溶区作为研究区域。本文演示了空间图像分类与学习的应用。图像分类的目的是根据土地覆盖类型自动对领土进行分区：草地和农田、森林、城市化地区。在草地和农田中，进行了植被指数计算，以划定潜在的喀斯特危险区域。使用植被指数评估地表岩溶的想法是基于研究区域落水洞的地球植物学特性。落水洞内植被指数相对较高的数值反映了落水洞的侧面、斜坡和底部覆盖着灌木状、喜湿的植被。通过计算这些条件下的植被指数，成功地解释了这种植被。在对潜在危险区域分布进行空间分析的基础上，构建了根据岩溶危险程度对研究区域进行分区的预测模型。通过对该方法适用性的定量评估，我们可以得出结论，四种植被指数的重合区域非常准确地刻画了岩溶形态的分布，因此对植被指数的综合研究对于评估岩溶形态具有重要的参考价值。地表岩溶分布。