根据空间图像数据模拟乌克兰草原景观和气候区易受气候变化影响的程度

Mykola Lybskyi, A. Khyzhniak, Tetiana Orlenko
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引用次数: 0

摘要

目前,包括乌克兰在内的全世界都面临着最大的环境问题之一,即气候变化。草原地貌-气候区被认为是对乌克兰当前和未来气候变化威胁最敏感的地区之一。根据空间勘测数据研究乌克兰草原区易受气候变化影响的程度,需要分析大量客观数据,即遥感数据处理产品。文章介绍了遥感、地理信息系统和多标准决策分析相结合的结果,以确定草原景观-气候区易受气候变化影响的地区。这些信息将用于推荐适应现代条件的系统,减少不利气候变化的影响。拟议的决策结构分三个阶段制定:1)收集和处理现有的空间勘测数据;2)根据层次分析方法建立乌克兰草原景观-气候区易受气候变化影响的模型;3)绘制由此产生的地图,其中包括所研究领土易受气候变化影响的程度。空间勘测数据的现代云处理方法提供了大量地理信息产品,包括地球表面特征和长期积累的气候指标的空间分布。有了这些产品,就可以快速处理大面积的这些数据。这项技术可以在专家评估的基础上,评估地球表面和区域气候最重要特征的综合影响,优先考虑这些特征对所研究地区易受气候变化影响的程度,并实施定量多标准评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of the vulnerability of the steppe landscape and climate zone of Ukraine to climate changes based on space image data
Now, the whole world, including Ukraine, is facing one of the biggest environmental problems, namely, climate change. The steppe landscape-climate zone is one of the territories considered the most sensitive to Ukraine's current and future climate change threats. Studying the vulnerability to climate change of the steppe zone of Ukraine based on data from space surveys requires analysing a large amount of objective data, namely the products of remote sensing data processing. The article presents the results of combining remote sensing, geographic information systems, and multi-criteria decision analysis to identify vulnerable areas to the impact of climate change in the steppe landscape-climatic zone. This information will be used to recommend adaptation systems to modern conditions and reduce the impact of adverse climate changes. The proposed decision-making structure was developed in three stages: 1) collection and processing of available data from space surveys; 2) development of a model of vulnerability to climate change of the steppe landscape-climatic zone of Ukraine based on the method of analysis of hierarchies; 3) construction of the resulting map, which includes degrees of vulnerability to climate changes of the studied territory. Modern cloud processing methods for space survey data provide access to a large number of geo-informational products, including the characteristics of the earth's surface and the spatial distribution of climatic indicators accumulated over a long period. These products allow the processing of these data for large areas to be implemented quickly. This technique allows, based on expert assessments, to assess the combined impact of the most significant characteristics of the earth's surface and regional climate, prioritise their impact on the studied territory's vulnerability to climate changes, and implement its quantitative multi-criteria assessment.
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