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- W2391252085 abstract "Songnen Plain which lies in northeast China,is the important grain production base for China,precision agriculture,serious soil erosion and quantitatively remote sensing thirst for soil spatiotemporal variation,but traditional chemical analysis method can not satisfy the need,because of little points,slow test rate and limited measuring area.Soil spectral reflectance is the compositive reflection of soil physical and chemical properties,and many studies have predicted soil properties with soil hyperspectral reflectance.Soil reflectance and its models are different for places,while the physical models,such as soil BRDF models,have been used to describe the spectral changes caused by soil surface physical variation,can not depict the spectral characteristics with different soil chemical compositions quantitatively.To quickly acquire the physical and chemical properties of typical soils in Songnen Plain,and provide the spatiotemporal soil information for quantitative remote sensing,precision agriculture and other related studies,Nongan county,which is the typical area in Songnen Plain,was selected to study the spectral characteristics of different soils.It is black soil Zone in Heilongjiang province to be selected to study the effect of physical and chemical properties on single soil spectral characteristics.Soil organic matter,including total N,total Fe and water content were measured with traditional chemical methods.Laboratory spectral reflectance between 400—2500 nm was measured with ASD FieldSpec 3 pectroradiometers.Soil hyperspectral reflectance was continuum removed,and its derivate was calculated.Spectral indices relating to soil parameters were extracted with spectral analysis methods.Then the spectral characteristics of typical soils in Songnen Plain,and their relationship with soil physical and chemical properties were analyzed.Soil properties predicting models based on spectral indices were built,and the Black soil reflectance simulating models were built with the extracted spectral controlling points.The results show that: the spectral differences among soils in Songnen Plain are mainly at the two absorption vales,the wavelength domains are 450—600 nm and 600—800 nm.Organic matter is the determining factor of Black soil reflecting spectral characteristics.Fe is not important to the spectral characteristics of soils in Songnen Plain,which is different from the case in south China.With growing soil moisture,soil reflectance decreases and increases,because of water specular effect,and the process of moisture effect on soil reflectance,the inflection point can be described quantitatively with cubic functions.The soil parameter predicting models basing on soil reflectance and its spectral characteristics can be used for soil parameter quickly measuring.As the correlation between organic matter and total N in Songnen Plain is significant,total N content of soils can be characterized with the result of organic matter spectral prediction.The Black soil reflectance simulating model(linear,quadratic),which is based on the extracted spectral controlling points at 450,500,590,660,930 nm,describes the spectral characteristics of Black soil precisely,and can be used for hyperspectral data compression,hyperspectral reflectance reconstruction with multispectral data." @default.
- W2391252085 created "2016-06-24" @default.
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- W2391252085 date "2008-01-01" @default.
- W2391252085 modified "2023-09-24" @default.
- W2391252085 title "Study on Quantitatively Remote Sensing Typical Soils in Songnen Plain,Northeast China" @default.
- W2391252085 hasPublicationYear "2008" @default.
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