中国土壤与肥料Issue(2)：261-268,8.DOI:10.11838/sfsc.1673-6257.25325
基于无人机遥感的宁夏引黄灌区夏玉米土壤含水率反演
Inversion of soil moisture content in summer maize fields of Ningxia Yellow River Irrigation District using unmanned aerial vehicle remote sensing
摘要
Abstract
Soil moisture dynamic monitoring is crucial for agricultural water resource management in arid regions.This study integrated multispectral and thermal infrared remote sensing data from unmanned aerial vehicles with synchronous ground measurements to construct a temperature vegetation dryness index(TVDI)model,systematically evaluating the inversion accuracy of soil moisture at 0-30 cm depths in summer maize fields within the Ningxia Yellow River Irrigation District.The results demonstrated that the TVDI model achieved higher accuracy for shallow soil moisture(0-10 cm)with R2=0.677 and RMSE=0.020,significantly outperforming the deeper layer(10-30 cm)with R2=0.475 and RMSE=0.026.Shallow soil moisture dynamics exhibited strong correlations with thermal infrared signals,primarily driven by evaporation-irrigation coupling effects.In contrast,deeper soil moisture was influenced by root uptake and soil heterogeneity,leading to a 42.5%decline in inversion accuracy as the growing season progressed.Post-tasseling canopy closure induced thermal signal attenuation,increasing the RMSE of deep-layer inversion to 0.028.Additionally,the model exhibited systematic underestimation when soil moisture content exceeded 22%,with a maximum deviation of 18.7%.This study revealed the applicability and limitations of remote sensing inversion for soil moisture in vegetation-covered areas,providing technical support for precision irrigation in arid regions.Future research could enhance model stability through multi-source data fusion.关键词
无人机/多光谱遥感/土壤含水率/温度植被干旱指数/宁夏引黄灌区Key words
unmanned aerial vehicle/multispectral remote sensing/soil moisture content/temperature vegetation dryness index(TVDI)/Ningxia Yellow River Irrigation District引用本文复制引用
施苏齐,焦炳忠,赵倩倩,贾帅,李金泽,李太云..基于无人机遥感的宁夏引黄灌区夏玉米土壤含水率反演[J].中国土壤与肥料,2026,(2):261-268,8.基金项目
宁夏回族自治区自然科学基金项目(2025AAC030458) （2025AAC030458）
宁夏教育厅高等学校科学研究项目(NYG2022166). （NYG2022166）
