植物营养与肥料学报2011,17(2)：456-463 Plant Nutrition and Fertilizer Science
东北平原不同类型土壤有机质含量
高光谱反演模型同质性研究卢艳丽，白由路，杨俐苹，王磊，王贺
（中国农业科学院农业资源与农业区划研究所，农业部作物营养与施肥重点开放实验室，北京100081）
摘要：土壤有机质含量是反映土壤肥力的重要特征，利用高光谱技术对耕层土壤有机质（OM)含量进行定量化反演可为土壤信息化管理和精准施肥提供重要的依据。本文利用ASDFR2500高光谱仪在案内条件下测定了风干土壤样品的可见-近红外光谱，分析了东北平原不同土壤类型土壤光谱反射率曲线形状变化及土填有机质含量的光谱反演模型，结果表明，根据土填光谱反射率曲线变化特点可以初步将东北平原的几种土填类型划分为三类，其主要区别在于460～1350nm范围内曲线斜率变化的差异。通过相关分析进一步确定了土壤有机质敏感波段为 650～750nm，建立了不同土壤类型的有机质含量回归预测模型，并且对不同模型的回归系数和截距进行了方差同质性检验。结果显示，黑土和黑钙土、黑土和暗棕壤的模型没有显著差异，即可以分别构建同质性模型来简化有机质的预测，但是预测精度有所降低。
关键词：高光谱；有机质；模型；同质性检验
中图分类号：S153.6+21；0433.5
文献标识码：A
文章编号：1008-505X(2011)020456-08
Homogeneity of retrieval modelsfor soil organic matter of different soil
typesinNortheastPlainusinghyperspectraldata
LU Yan-li, BAI You-lu, YANG Li-ping, WANC Lei, WANG He
(Institule of Agriculnural Resources and Regional Planning/Ministry of Agriculture Key Laboratory of Crop Nutrition
andFertilization，Bejing 100081)
Abstract: Organic matter (OM) content is an important index in reflecting soil fertility, and provides important information for soil digital management and precise fertilization if OM can be estimated using hyperspectral technolo gy. In this experiment, visible and near-infared spectral reflectance of soil was measured using ASD FR 2500 hy-perspectral meter. The spectral reflectance curve shapes and the OM prediction models of different soil types were analyzed. The results show that, according to the variation of spectral reflectance curves in the Northeast Plain, those soil types can be divided preliminarily into three categories, and their main differences are the curve slopes in 460-1350 nm. Further, the sensitive bands to soil organic matter were determined as 650 750 nm by correlation analysis. The soil organic matter regression models of different soil types were established using reflectance in the sensitive bands, and the homogeneity of variance is tested for regression coefficients and intercept. The results indi-cate that black and chermozem, and black and dark brown soil pass the homogeneity test respectively. Both of the two homogenous categories can be predicted using common models, but the predicting accuracy is slightly lower. Key words: hyperspectral; organic matter; model; homogeneity test
土壤有机质是反映土壤肥力的重要物质，而高光谱技术为土壤评价与理化性状的监测提供了强有
收稿日期：2010-05-18
接受日期：20101129
力的工具，为定量化监测土壤有机质含量提供了可能。目前，高光谱技术不仅广泛应用在包括有机质
基金项目：中国农科院农业资源与农业区划研究所中央级公益性科研院所基本科研业务费专项资金(2011-1)资助。
作者简介：卢艳丽（1976—），女，内蒙占赤峰市，博士，研究方向为作物营养诊断与施肥。Tel；010-82108664，E-mail；luyl@cas.net.cn
本文为2010中国植物营养与肥料学术年会会议论文。万方数据