现代农业研究2024，Vol.30Issue(5)：12-19,8.
基于Sentinel-2卫星对宁夏惠农区不同季节土壤含盐量定量反演
Quantitative Inversion of Soil Salinity in Different Seasons in Huinong District,Ningxia Based on Sentinel-2 Satellite
摘要
Abstract
Salinisation of agricultural soils poses an important constraint to sustainable agricultural development,especially in the Huinong region of Ningxia,northwestern China,where salinised soils are widely distributed.However,due to the limitations of monitoring technology,the detailed situation of soil salinisation in this region is not known.Currently,the multispectral instrument(MSI)on board the Sentinel-2 satellite provides a good opportunity for monitoring soil salinity dynamics.Therefore,in this study,the feasibility of using the multispectral instrument(MSI)on board the Sentinel-2 satellite,combined with a machine learning model,to accurately monitor the soil salinity content during the spring and summer seasons was explored.And three additional red-edge bands(B5-B7)were used instead of the traditional red band(B4)to generate potential soil salinity indices.A screening method based on the PLS-VIP criterion was used to screen the spectral covariates,and three machine learning methods,namely,Random Forest(RF),Support Vector Machine(SVM)and Extreme Learning Machine(ELM),were employed to build the inverse model of soil salt content.The results showed that the Random Forest model based on Sentinel-2 imagery performed the best in the inversion with good prediction results,with R2 and RE of 0.825 and 0.207 and 0.711 and 0.271 in spring and summer,respectively.The study also revealed that soil salinity varied significantly between seasons,and was higher in spring than in summer.This result is of great significance as a guide for soil salinity monitoring and land reclamation in arid or semi-arid regions.关键词
卫星遥感/变量筛选/反演模型/光谱指数/机器学习Key words
satellite remote sensing/variable screening/inversion modelling/spectral indices/machine learning分类
天文与地球科学引用本文复制引用
王拓,申晓晶,栾文杰..基于Sentinel-2卫星对宁夏惠农区不同季节土壤含盐量定量反演[J].现代农业研究,2024,30(5):12-19,8.基金项目
国家自然科学基金项目"黄河流域水沙资源适应性配置整体模型"(项目编号:52169010、51869023) （项目编号:52169010、51869023）
国家重点研发计划项目子课题"黄河上游河套平原灌区节水控盐方法与灌排协同控制技术及产品装备研发"(项目编号:2021YFD1900601). （项目编号:2021YFD1900601）
