Ground reflectance with different soybean residue covers(SRC) were measured with HR-768 portable spectroradiometer.Coincident with spectrum measurements
soybean residue cover were measured using photographic method.Linear regression analysis was used to evaluate the correlations between soybean residue cover and spectral reflectance
as well as its first order derivative and derived indices(namely ratio index and normalized difference index).Characteristics of spectral responses of soybean residue were analyzed.With relative spectral response functions
bands reflectance of MODIS
TM
HJ-1B CCD1 and IRS were simulated respectively to establish soybean residue cover estimation model.The results indicate that soybean residue can be distinguished from soil using its unique absorption feature in the spectral range of 2050 nm to 2150 nm and 2250 nm to 2350 nm.The spectral characteristics of soybean residue are similar to that of corn and wheat residue except for an absorption feature in the spectral range of 920 nm to 967 nm.Parameters that are suitable for soybean residue cover estimation were identified using hyperspectral data
which includes reflectance at wavelength of 941.6 nm
first derivation of reflectance at wavelength of 2151.8 nm
normalized difference index between reflectance at wavelengths of 1461.3 nm and 2404.4 nm
and ratio index between reflectance at wavelengths of 2247 nm and 608.6 nm.Taking broad band data as data source
ratio index between shortwave infrared reflectance and red reflectance performs the best in soybean residue cover estimation.
关键词
大豆作物残茬覆盖度光谱特征线性回归估算模型
Keywords
soybeanfraction of crop residue coverspectral characteristiclinear regressionestimation model