引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
过刊浏览    高级检索
本文已被:浏览 9次   下载 0  
分享到: 微信 更多
基于多源遥感数据的土壤盐渍化监测研究进展与展望
石燕子, 李文娟
中国农业科学院农业资源与农业区划研究所
摘要:
【目的】耕地是粮食生产的命脉,土壤盐渍化是土地退化的主要形式之一,对农业生产和生态环境造成了严重的威胁。因此,盐渍化的监测与改良已成为国内外学者研究的热点。遥感技术凭借其全球覆盖、高时空分辨率和多波段观测的特点,成为土壤盐渍化监测的有力工具。【方法】通过文献分析法,综述国内外近年来关于土壤盐渍化的监测现状、方法和进展。【结果】本文结合当前热点问题,陈述了基于多源遥感数据的土壤盐渍化监测研究成果;进一步探讨了影响监测精度的误差源和因素;在已有研究基础上,总结了盐渍化反演过程中遇到的难点、遥感数据集和反演模型的局限性。【结论】土壤盐渍化监测的研究和应用已较为成熟,未来与多源数据、模型迁移性和跨学科等多种先进技术的融合发展将会实现更精准、更全面的监测,并提供坚实的数据支持和技术支持。
关键词:  遥感技术  土壤盐渍化  监测模型  综述
DOI:
分类号:
基金项目:盐碱地空天地一体化快速识别关键技术及产品
Research Progress and Prospects on Monitoring Soil Salinization Based on Multi-Source Remote Sensing Data
shiyanzi, liwenjuan
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Science
Abstract:
[Purpose] Arable land is the lifeblood of grain production, and soil salinization represents one of the principal forms of land degradation, posing a severe threat to agricultural production and the ecological environment. Therefore, the monitoring and amelioration of soil salinization have become hot topics among scholars both domestically and internationally. Remote sensing technology, with its global coverage, high spatiotemporal resolution, and multi-band observation capabilities, has become a powerful tool for salinity monitoring. [Method] Through literature analysis, this article reviews the current status, methods, and progress of soil salinization monitoring at home and abroad in recent years. [Result] This article combines current hot issues and presents the research results of soil salinization monitoring based on multi-source remote sensing data; Further explored the error sources and factors that affect monitoring accuracy; Based on existing research, the difficulties encountered in the process of salinization inversion, as well as the limitations of remote sensing datasets and inversion models, were summarized. [Conclusion] The research and application of soil salinization monitoring have become relatively mature. In the future, the integration and development of multiple advanced technologies such as multi-source data, model transferability, and interdisciplinary approaches will achieve more accurate and comprehensive monitoring, and provide solid data and technical support.
Key words:  Remote sensing technology  soil salinization  monitoring model  review