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  • 软件名称:土壤水盐介电模型对比与分析
  • 软件大小: 0.00 B
  • 软件评级: ★★★
  • 开 发 商: 魏龙,王维真,吴月茹,马春锋
  • 软件来源: 《遥感技术与应用》
  • 解压密码:www.gissky.net

资源简介

摘要: 土壤介电常数是微波遥感反演土壤水分和盐分的基础,是微波遥感研究的主要参数之一,选用模拟精度较高的土壤水盐介电模型对提高土壤水分和盐分反演精度具有重要意义。目前,土壤介电模型无法定量描述盐分对土壤介电常数的影响。采用Dobson模型及考虑盐分影响的Dobson\|S模型、GRMDM模型、HQR模型和WYR模型分别模拟了土壤温度为25 ℃时不同土壤质地、含水量和含盐量土样在L、C、X波段的复介电常数实部与虚部,并将模拟结果与微波网络分析仪测量值进行对比分析,得到以下结论:①Dobson模型和GRMDM模型可较好地实现非盐渍土介电常数实部的模拟,而低频波段虚部的模拟值小于测量值;②Dobson-S模型对盐渍土介电常数实部的[JP2]模拟精度较高,在L、C、X 3个波段相关系数(R)均为0.97,均方根误差(RMSE)小于2.10;但对于盐渍土介电常数虚部,在土壤体积含水量不同的情况下,Dobson\|S模型、HQR模型和WYR模型的模拟精度不同。研究结果对选取适当的土壤介电模型反演土壤水分和盐分具有一定的参考价值。 关键词: 微波遥感;  介电模型;  复介电常数;  盐渍土     Abstract: The soil dielectric constant,the basis of the microwave remote sensing inversion of soil water and salt,is one of the main parameters of microwave remote sensing research.It is very important to select the high precision soil water and salt dielectric model to improve the precision of soil water and salt inversion.However,the existing soil water and salt model still can’t quantitatively describe the effect of salt factor on soil permittivity.This paper simulates the complex permittivity of different texture,water content and salinity wet soil by Dobson model,Dobson\|S model,GRMDM model,HQR model and WYR model at L,Cand X bands when soil temperature equal 25 ℃.Comparison and analysis the simulation values with measured values by microwave vector network analyzer.The results show:(1)Dobson model and GRMDM model can accurately simulate the real part of dielectric constant of non\|saline soil,while the stimulated values of imaginary part is less than the measured values;(2)Dobson\|S model can well simulate the real part of the dielectric constant of saline soil,at L,C\nd Xbands the correlation coefficient R equal 0.97,the RMSE is less than 2.10.But for the imaginary part of the dielectric constant of saline soil,the Dobson\|S model,HQR model and WYR model with different simulation accuracy,when soil water content different.This study would benefit the choice of a suitable soil dielectric model for soil moisture and salinity retrieval.

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