应用基于PLSR的土壤-环境模型预测土壤属性OA北大核心CSCDCSTPCD
PREDICTION OF SOIL PROPERTIES USING PLSR-BASED SOIL-ENVIRONMENT MODELS
土壤-环境模型对于正确理解土壤属性与环境因子间的关系,以及进行土壤属性预测与制图均具有重要的意义.研究区位于陕西省长武县内多年退耕还林还草沟壑区域,采集72个土壤表层样本,选择3/4的样本作为建模集,其余1/4的样本作为验证集；环境因子选择容易获取的地形因子和由遥感影像提取的植被因子和湿度因子,建立基于偏最小二乘回归( PLSR)的土壤-环境模型.结果表明:全氮、速效钾、全钾、有机质与环境因子间均有显著相关性；建立的PLSR模型可解释土壤属性的空…查看全部>>
Soil-environment models can be of great importance to proper understanding of relationships between soil properties and environmental factors, and to predicting and mapping of soil properties, as well. A gully area where the "Grain for Green" policy had been implemented for years was selected in Changwu County, Shaanxi Province, a Loess Plateau region in China. A total of 72 surface soil samples were collected, and 3 fourths of the samples were used as a cal…查看全部>>
王昌昆;潘贤章;周睿;刘娅;李燕丽;解宪丽
中国科学院南京土壤研究所,南京210008中国科学院研究生院,北京100049中国科学院南京土壤研究所,南京210008中国科学院南京土壤研究所,南京210008中国科学院研究生院,北京100049中国科学院南京土壤研究所,南京210008
天文与地球科学
土壤-环境模型土壤属性预测偏最小二乘回归(PLSR)
Soil-environment model Prediction of soil properties PLSR
《土壤学报》 2012 (2)
基于水盐运移规律的土壤盐渍化遥感机理与估算模型
237-245,9
中国科学院战略性先导科技专项(XDA05050509)和国家自然科学基金项目(41071140、40801081)资助
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