枸杞土壤含水量间接光谱估测模型吴娟1,何月红2∗,黄涛1,吕林涛1,刘自增1(1.宁夏回族自治区遥感调查院(宁夏回族自治区遥感中心),宁夏银川750001;2.中宁县枸杞产业发展服务中心,宁夏银川750001)摘要为定量分析叶片高光谱不同波段反射率特征值与土壤含水量之间关系,并为构建枸杞作物土壤含水量快速、高效、准确的预测模型提供理论依据。以银川市试验基地枸杞为试验对象,测定实验室叶片光谱反射率,利用多元线性回归和多元逐步回归方法提取反射光谱特征指标,建立土壤水分含量的高光谱预测模型。结果表明,基于754、1844、1855和1900nm波段反射率特征值的多元线性回归模型对土壤水分的反演准确性较低,R2=0.326;以673、1893、1872nm波段反射率为特征值的多元逐步回归分析法可以较好地预测土壤含水量,R2=0.716,模型方程为Y=25.001-56.485X673-115.923X1893+100.631X1872,该模型在预测土壤含水量方面具有较好的准确性且输入量少的优点,可以为土壤含水量预测模型提供参考。关键词土壤水分;高光谱数据;线性回归;逐步回归中图分类号X833文献标识码A文章编号0517-6611(2023)11-0171-03doi:10.3969/j.issn.0517-6611.2023.11.041开放科学(资源服务)标识码(OSID):IndirectSpectralEstimationModelofWolfberrySoilWaterContentWUJuan1,HEYue-hong2,HUANGTao1etal(1.NingxiaInstituteofRemoteSensingSurvey&Mapping(NingxiaRemoteSensingCen-ter),Yinchuan,Ningxia750001;2.ZhongningCountyWolfberryIndustryDevelopmentServiceCenter,Yinchuan,Ningxia750001)AbstractInordertoquantitativelyanalyzetherelationshipbetweenleafhyperspectralreflectancecharacteristicsofdifferentbandsandsoilwatercontent,andprovideatheoreticalbasisforconstructingafast,efficientandaccuratepredictionmodelofsoilwatercontentofwolfberrycrops.Inthispaper,theexperimentalbaseofYinchuanwolfberryastheexperimentalobject,laboratoryspectralreflectancewasdetermined,usingmultiplelinearregressionandmultiplestepwiseregressionmethodtoextractreflectancespectralcharacteristics,hyperspectralpredictionmodelofsoilmoisturecontentwasestablished.Theresultsshowthatthemultiplelinearregressionmodelbasedonreflectancecharacteristicvaluesof754,1844,1855and1900nmbandshaslowinversionaccuracyforsoilmoisture,R2=0.326;themultiplestepwiseregressionanal-ysisme...
