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基于室内光谱反射率的土壤线影响因素分析 被引量:20

Soil Line Influence Factors Analysis Based on Laboratory Soil Hyperspectral Reflectance
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摘要 为了更好地估算植被指数,必须计算不同土壤类型的土壤线;但由于土壤线的影响因素较多,因此土壤线参数获取困难。本文以室内土壤高光谱反射率为主要研究对象,分析并确定影响土壤线的主要因素;利用室内土壤光谱反射率计算土壤线,将所得土壤线参数用于与土壤线有关的植被指数的计算,比较这些植被指数与大豆生理参数(叶绿素a与叶面积)的相关关系是否强于归一化植被指数(NDVI),分析该土壤线参数计算方法的可行性。结果表明:土壤线的影响因素主要有土壤类型、有机质、矿物组成、秸秆覆盖等;而土壤水分、粗糙度等尽管对土壤光谱反射率大小也有很大影响,但由于对光谱曲线形状影响较小,因此对土壤线的影响也较小;与土壤线有关的植被指数部分消除了土壤背景的影响,其与大豆生理参数的相关系数显著高于NDVI,说明利用室内土壤光谱反射率计算土壤线的方法可行,所得参数适于计算基于土壤线的植被指数。 In order to estimate vegetation index precisely,the soil lines of different soil types must be identified.However,it is difficult to obtain the soil line parameters,because there are many influencing factors.With the laboratory soil hyperspectral reflectance studied,the main factors influencing the soil line were determined.The laboratory soil hyperspectral reflectance was used to calculate soil line parameters,which were introduced to compute the vegetation indices related to soil line.The correlation between the indices and soybean chlorophyll a or leaf area index(LAI) was compared with that between normalized difference vegetation index(NDVI) and chlorophyll a or LAI,then the feasibility of the soil line computing method was analyzed.The results were as follows: the main factors affecting soil line parameters were not the band width but the soil class,the latitude,organic matter,mineral composition,and straw residues.Soil classes,with different physical and chemical properties,show significant differences in spectral characteristics,especially the reflectance shape at red and infrared bands.The slope of soil line with low soil albedo was not always smaller than that with higher soil albedo.What's more,latitude also influenced the soil line parameters because of the regular distribution of soil parent material and other soil properties.The effect of organic matter on soil reflectance in visible and infrared bands(620—810nm) is much stronger than other spectral regions,the reflectance curve at visible and infrared domain is concave,so the slope of soil line increases with organic matter content.What's more the effect of organic matter on soil line parameters may be stronger than soil class.Based on soil line,the soil vegetation indices partly eliminate the soil background noises,and the correlation between the indices and soybean chlorophyll a or LAI is more significant than that between NDVI and chlorophyll a or LAI,which indicates that the soil line parameter deriving method is feasible and appropriate for the vegetation indices based on soil line.In order to enhance the monitoring precision of vegetation indices,the soil line parameters should be calculated based on the spatial difference of the main factors influencing the parameters.However,the results of the study is based on ground crop spectral reflectance data and obtained in the laboratory,as a result,the influence of atmosphere is not completely considered.Therefore,when the result is used in remote sensing image data,the influence of atmosphere on soil and crop reflectance must be analyzed.
出处 《遥感学报》 EI CSCD 北大核心 2008年第1期119-127,共9页 NATIONAL REMOTE SENSING BULLETIN
基金 中国科学院知识创新工程重要方向项目(编号:KZCX3-SW-356) 中国科学院资源环境领域野外台站基金
关键词 土壤线 高光谱 反射率 植被指数 定量遥感 soil line hyperspectral reflectance vegetation index quantitative remote sensing
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参考文献11

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