青藏高原湖泊智能提取系统

Intelligent extraction system for lakes in Qinghai Tibet Plateau

青藏高原分布着全球海拔高、数量多、面积大的高原湖泊群,这些湖泊的变化能够真实地反映出区域的气候与环境状况。科学地分析湖泊演变规律将为区域环境与气候的研究提供关键的数据支撑。在以往的相关研究中,基于湖泊水域面积的分析方法大多利用ENVI等相关软件进行处理,处理过程较繁琐,需要耗费大量的时间。文中基于以上问题,设计与实现了青藏高原的湖泊水域面积提取系统,该系统充分利用地理信息及遥感技术,结合经典机器学习算法支持向量机(SVM)、决策树对湖泊水域进行智能提取,实现对青藏高原湖泊群水域面积的统计,揭示出其演变规律。通过实验分析得出,在2016年到2020年,青藏高原湖泊的面积呈增长趋势,与前人的研究保持一致,为湖泊水域面积的提取提供了技术参考和实现方法。

There are many high altitude,large number and large area lakes in the Qinghai Tibet Plateau.The changes of these lakes can truly reflect the regional climate and environmental conditions. Scientific analysis of lake evolution law will provide key data support for the study of regional environment and climate. In the past,the analysis methods based on lake water area are mostly processed by ENVI and other related software,which is cumbersome and time-consuming. Based on the above problems,this paper proposes the design and implementation of the lake area extraction system of the Qinghai Tibet Plateau,which makes full use of geographic information and remote sensing technology,combines the classical machine learning algorithm Support Vector Machine(SVM) and decision tree to intelligently extract the lake area,realizes the statistics of the lake area of the Qinghai Tibet Plateau,and reveals its evolution law. Through the experimental analysis,it is concluded that from 2016 to 2020,the area of lakes in the Qinghai Tibet Plateau is increasing,which is consistent with previous studies,and provides a technical reference and implementation method for lake area extraction.