Songnen Plain which lies in northeast China, is the mi portant grain production base for China, precision agriculture, serious soil erosion and quantitatively remote sensing thirst for soil spatiotemporal variation, but traditional chemical analysismethod can notsatisfy the need, because of little points, slow testrate and l mi itedmeasuring area. Soil spectral reflectance is the compositive reflection ofsoilphysicaland chemicalproperties, andmany studieshave predicted soilproperties with soil hyperspectral reflectance. Soil reflectance and its models are different for places, while the physicalmodels, such as soil BRDF models, have been used to describe the spectral changes caused by soil surface physical variation, can notdepict the spectral characteristicswith 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 ofdifferent soils. It is black soilZone inHeilongjiang province to be selected to study the effectofphysical and chemical properties on single soil spectral characteristics. Soil organic matter, including total N, total Fe and water content were measured with traditional chemicalmethods. Laboratory spectral reflectance between 400—2500 nm wasmeasuredwithASD FieldSpec(3 Spectroradiometers.Soil hyperspectral reflectance was continuum removed, and its derivate was calculated. Spectral indices relating to soilparameterswere extractedwith spectralanalysismethods. Then the spectral charac teristics of typical soils in Songnen Plain, and their relationship with soil physical and chemical propertieswere analyzed. Soil properties predictingmodelsbased on spectral indiceswere built, and theBlack soil reflectance smi ulatingmodelswere builtwith the extracted spectral controlling points.The results show that: the spectral differences among soils in Songnen Plain aremainly at the two absorption vales,thewavelength domains are 450—600 nm and 600—800 nm. Organic matter is the determining factor of Black soil reflecting spectral characteristics. Fe is not mi portant to the spectral characteristics of soils in Songnen Plain, which is different from the case in south China. W ith growing soilmoisture, 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 quantitativelywith cubic functions. The soil parameter predicting models basing on soil reflectance and its spectral characteristics can be used for soilparameterquicklymeasuring. As the correlation between organicmatter and totalN 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 smi ulatingmodel ( linear, quadratic), which is based on the extracted spectral controlling points at 450, 500, 590, 660, 930 nm, describes the spectral characteristics ofBlack soilprecisely, and can be used forhyperspectral data compression, hyperspectral reflectance reconstructionwithmultispectral data.