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基于高光谱的荒漠植物含水率预测模型
引用本文:赵钊,李霞,董道瑞.基于高光谱的荒漠植物含水率预测模型[J].新疆农业科学,2011,48(1):172-176.
作者姓名:赵钊  李霞  董道瑞
作者单位:新疆农业大学草业与资源环境学院,乌鲁木齐,830052
基金项目:国家自然科学基金,新疆维吾尔自治区草地资源与生态重点实验室
摘    要:【目的】根据实地测定的荒漠植物高光谱和含水率,建立其含水率预测模型,为遥感生态监测和荒漠生境评价提供依据。【方法】实地测定了17种荒漠植物光谱反射率,使用烘干法测定其含水率,对荒漠植物的含水率和反射光谱进行相关分析。【结果】1 405~1 534 nm波段是荒漠植物含水率的敏感波段。引入吸收深度为参量,分别以978~1 0301、405~1 534 nm波段水分吸收深度建立荒漠植物含水率线性预测模型,其决定系数分别为R2=0.696和R2=0.928。根据模型计算荒漠植物含水率与真值的误差分别在-16.84%~12.01%和-1.86%~2.84%。【结论】以1 405~1 534 nm波段水分吸收深度建立荒漠植物含水率线性预测模型可以较准确的反映荒漠植物的含水率。

关 键 词:荒漠植物  高光谱  含水率  吸收深度

Prediction Model of Water Content of Desert Plants Based on Hyperspectral
ZHAO Zhao,LI Xia,DONG Dao-rui.Prediction Model of Water Content of Desert Plants Based on Hyperspectral[J].Xinjiang Agricultural Sciences,2011,48(1):172-176.
Authors:ZHAO Zhao  LI Xia  DONG Dao-rui
Institution:ZHAO Zhao,LI Xia,DONG Dao-rui(1.College of Pratacultural and Environmental Sciences,Xinjiang Agricultural University,Urumqi 830052,China)
Abstract:【Objective】According to the hyperspectral and water content of desert plants investigated in filed,prediction model was established which could provide basis for ecological monitoring and survival environment estimating based on remote sensing.【Method】To measure the spectral reflectance of seventeen desert plantd and their water content,correlative analysis methord was used to analyze the relationship between water content and spectral reflectance.【Result】It was found out that the wave band 1 405-1 534 nm was the most hypersensitive band,according to the water absorption deepth in the bands of 978-1 030 nm,1 405-1 534 nm to establish the linear model which was used to forecast the water content of desert plants.【Conclution】The linear model established based on the water absorption deepth of wave band 1 405-1 534 nm could forecast the water content exactly.
Keywords:desert plant  hyperspectral  water content  absorption deepth  
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