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引用本文:	石燕子,李文娟,李晓彬,杨婷,周兆叶,李旺平,吴文斌.基于多源遥感数据的土壤盐渍化监测研究进展与展望[J].中国农业信息,2024,35(5):28-41

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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^1,2,4，李文娟^3,4，李晓彬⁴，杨婷⁵，周兆叶^1,2，李旺平^1,2，吴文斌⁴
1.兰州理工大学土木工程学院，甘肃兰州 730050;2.兰州理工大学甘肃省应急测绘工程研究中心，甘肃兰州 730050;3.国家盐碱地综合利用技术创新中心，山东东营 257347;4.北方干旱半干旱耕地高效利用全国重点实验室/农业农村部农业遥感重点实验室/中国农业科学院农业资源与农业区划研究所，北京 100081;5.中国科学院地理科学与资源研究所/黄河三角洲现代农业工程实验室，北京 100101

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，准确监测土壤盐碱化对耕地保护具有指导意义，可为农业生产和生态环境管理部门进行盐渍土的监测与改良提供参考。【方法】 文章通过文献分析法，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】 （1）介绍了基于多源遥感数据的土壤盐渍化监测研究成果，聚焦当前的热点问题；进一步探讨了影响监测精度的误差源和因素。（2）在已有研究基础上，总结了盐渍化反演过程中遇到的难点，包括遥感数据质量的局限性、不同监测模型的适用性问题以及盐渍化特征提取的精度问题。（3）分析了土壤盐渍化监测领域目前面临的问题，如数据获取的难度、模型泛化能力不足及环境因素的复杂性等。【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：10.12105/j.issn.1672-0423.20240503

分类号:

基金项目:国家盐碱地综合来利用技术创新中心“揭榜挂帅”项目“盐碱地空天地一体化快速识别关键技术及产品”（GYJ2023002）

Research progress and prospects on monitoring soil salinization based on multi-source remote sensing data

Shi Yanzi^1,2,4, Li Wenjuan^3,4, Li Xiaobin⁴, Yang Ting⁵, Zhou Zhaoye^1,2, Li Wangping^1,2, Wu Wenbin⁴

1.School of Civil Engineering，Lanzhou University of Technology，Lanzhou 730050，Gansu，China;2.Gansu Emergency Surveying and Mapping Engineering Research Center，Lanzhou University of Technology，Lanzhou 730050，Gansu，China;3.National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land，Dongying 257347，Shandong，China;4.State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China/Key Laboratory of Agricultural Remote Sensing，Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning，Chinese Academy of Agricultural Sciences，Beijing 100081，China;5.Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences/Modern Agricultural Engineering Laboratory of the Yellow River Delta，Beijing 100101，China

Abstract:

[Purpose] Farmland is essential for global food production，and soil salinization represents a significant form of land degradation. Accurate monitoring of soil salinization is crucial for the protection of agricultural land，and provide valuable insights for agricultural production and ecological management aimed at improving saline-alkali soils.[Method] This paper conducted a comprehensive literature review to assess the current status，methodologies，and advancements in soil salinization monitoring，both domestically and internationally in recent years.[Result] （1）In this article，recent research achievements in soil salinization monitoring based on multi-source remote sensing data were presented，addressing current hot topics. Sources of error and factors affecting monitoring accuracy were also discussed. （2）Based on existing research，the article summarized the challenges encountered in soil salinization inversion，including limitations in remote sensing data quality，applicability of different monitoring models，and accuracy issues in salinity feature extraction. （3）Additionally，it analyzed the key issues currently faced in the field of soil salinization monitoring，such as difficulties in data acquisition，insufficient model generalization ability，and the complexity of environmental factors.[Conclusion] Research and applications in soil salinization monitoring have reached a relatively advanced stage. Future efforts should focus on integrating cutting-edge technologies，including multi-source data，improved model transferability，and interdisciplinary methodologies，to enable more precise and comprehensive monitoring，thereby providing robust data and technical support for effective management strategies.

Key words: remote sensing technology soil salinization monitoring model review