关键词: 土壤盐渍化, 遥感监测, 光谱特征, 反演模型, 多源数据

Abstract: Soil salinization is a globally prevalent resource and ecological issue that severely restricts agricultural development and the sustainable use of land resources.In recent years,remote sensing technology,with its advantages of extensive coverage and high spatiotemporal resolution,has become an important tool for monitoring saline-alkali land.This paper reviews relevant studies conducted both domestically and internationally,summarizing the applications of multispectral,hyperspectral,thermal infrared,and multi-source data fusion techniques in soil salinization monitoring.It focuses on commonly used salinity indices,vegetation indices,sensitive bands,and remote sensing inversion models,analyzing the applicability and limitations of different methods in salinized soil monitoring.Furthermore,the paper discusses key challenges in the field,such as limited model generalization and the impact of multiple factors on monitoring accuracy.Future research directions are also explored,including multi-source data integration and enhanced interdisciplinary collaboration.The findings of this study provide scientific support for improving the accuracy of soil salinization remote sensing monitoring,optimizing monitoring methods,and promoting the management of saline-alkali soils.

Key words: Soil Salinization, Remote Sensing Monitoring, Spectral Characteristics, Inversion Models, Multi-source Data