湿地生态状况的时空动态与退化驱动因素研究——基于地理大数据与综合遥感指数的评估  

Spatiotemporal Dynamics and Degradation Drivers of Wetland Ecological Status——An Assessment Based on Geographic Big Data and Integrated Remote Sensing Index

作　　者：田爽 焦龙潇 朱涛 张旭东 Tian Shuang;Jiao Longxiao;Zhu Tao;Zhang Xudong(Mineral Resources Exploration Center of Henan Geological Bureau,Zhengzhou 450000,China)

机构地区：[1]河南省地质局矿产资源勘查中心,河南郑州450000

出　　处：《环境科学与管理》2024年第9期163-168,共6页Environmental Science and Management

基　　金：河南省自然资源厅省财政自然资源科研项目(2022-2)。

摘　　要：在研究湿地生态状况的过程中,受到环境因素的干扰,在时空动态和退化驱动因素的分析上存在明显的精度不足问题。基于此,提出湿地生态状况的时空动态与退化驱动因素-基于地理大数据与综合遥感指数的评估。利用地理大数据和遥感技术监测湿地生态的时空变化情况,获得综合遥感指数,并结合湿地土地年平均变化量,,建立湿地驱动力系统模型,分析湿地生态的退化驱动因素。实验结果表明:提出的研究方法在湿地生态数据提取和分类上具有高水平的处理精度,并且驱动因子与湿地生态相关变量之间的关联度较高,分析结果更可靠。In the process of studying the ecological status of wetlands,there is a significant lack of accuracy in the analysis of spatiotemporal dynamics and degradation driving factors due to environmental factors.Based on this,the spatiotemporal dynamics and degradation driving factors of wetland ecological status are proposed-evaluation based on geographic big data and comprehensive remote sensing indices.Using geographic big data and remote sensing technology to monitor the spatiotemporal changes of wetland ecology,this study obtains a comprehensive remote sensing index.By combining with the annual average change of wetland land,the research establishes a wetland driving force system model to analyze the driving factors of wetland ecological degradation.The experimental results show that the proposed research method has a high level of processing accuracy in wetland ecological data extraction and classification.The correlation between driving factors and wetland ecological related variables is high,making the analysis results more reliable.

关 键 词：地理大数据 综合遥感指数 湿地生态 时空动态 退化驱动因素 

分 类 号：X321[环境科学与工程—环境工程]