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松嫩平原主要土壤类型含水量高光谱预测模型

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为了消除土壤类型的影响,提高土壤含水量高光谱预测精度,以松嫩平原四种典型土壤(黑土、黑钙土、草甸土、风砂土)实验室高光谱反射率为研究对象,对反射光谱曲线进行去包络线处理,提取光谱特征参数;并对反射率进行多种数学变换,分析不同土壤类型、含水量水平的反射光谱特征差异,建立考虑土壤类型差异的含水量高光谱预测模型.研究结果表明:1)混合土壤类型难以提取有效的光谱特征参数进行土壤含水量预测;2)将风砂土与其他土类分开,其他土类利用光谱特征参数建模的精度高;3)基于光谱特征参数的一元线性回归精度高,输入量少.研究成果为多个土壤类型含水量高光谱预测提供了科学依据.
High Spectral Prediction Model for Soil moisture in Songnen Plain
The object of this paper was to raise the prediction accuracy of high spectrum reflectance in order to eliminate the effects of soil types.The continuum removal method was used to treat reflective spectral curves and extract the characteristics parameter of spectral adsorption.Reflectance was treated with various mathematical transformation models.Differences of reflectance spectral characteristics among difference soil types and soil moisture levels were analyzed in this paper.A high spectrum predictive model in different soil types was established.The result accuracy was evaluated by determination coefficient (R2) and RMSE.The larger the R2 of the model was,the more stable of the model was.The smaller the RMSE of the model was,the more stable of the model was.Result showed that:(1) It was difficult to extract effective spectral characteristics parameters for predicting soil moisture.(2) The accuracy of model established by spectral characteristics parameters was high in different soil types except for aeolian soil.(3) Unary linear regression based on spectral characteristics parameters had high accuracy and less input.The results would provide scientific bases for the prediction of soil moisture in different soil types.

Soil typeMoistureContinuum removalSpectral characteristics parameter

刘焕军、王翔、张小康、张新乐、金慧凝、窦欣

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东北农业大学资源与环境学院,黑龙江哈尔滨150030

中国科学院东北地理与农业生态研究所,吉林长春130012

土壤类型 水分 去包络线 光谱特征参数

国家自然科学基金国家自然科学基金中国科学院东北地理与农业生态研究所“引进优秀人才项目”资助

4167143841501357

2018

土壤通报
中国土壤学会

土壤通报

CSTPCDCSCD北大核心
影响因子:0.818
ISSN:0564-3945
年,卷(期):2018.49(1)
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