土壤组分信息高光谱遥感反演研究进展

Advances in Hyperspectral Remote Sensing Inversion of Soil Composition Information

土壤组分信息监测是开展精准农业的基础,利用高光谱遥感技术获取土壤组分信息是当前的研究热点。结合实际生产应用,对土壤有机质、含水量、氮素、氧化铁、重金属五个主要方向的高光谱定量反演研究成果进行综述,归纳土壤高光谱数据获取方法、光谱处理方法、反演建模方法和模型应用效果评价等,总结土壤组分信息与光谱反射率之间的相互关系。基于土壤组分信息提取的土壤高光谱分析技术,可为土壤质量监测和精准农业生产提供技术支撑。

Soil component information monitoring is the basis of precision agriculture implementation.The use of hyperspectral remote sensing technology to obtain soil component information is the current research hotspot.Combined with the actual production and application,this paper summarizes the research results of hyperspectral quantitative inversion from five main directions of soil organic matter,water content,nitrogen,iron oxide and heavy metals.By summarizing the methods of soil hyperspectral data acquisition,spectral processing,inversion modeling and model application effect evaluation,the relationship between soil component information and spectral reflectance is summarized,which provides technical support for promoting the wide application of soil hyperspectral analysis technology based on soil component information extraction in soil quality monitoring and precision agricultural production.