The Study Of Hyperspectral Remote Sensing Models Of Young Camphor Major Biochemical Parameters

Hyperspectral remote sensing refers to use many narrow electromagnetic wavebands to detect the spectral reflectance of interesting objects. Compared with multispectral remote sensing, hyperspectral remote sensing has many advantages, such as high spectral resolution, many wavebands, good continuity of wavebands and considerable contents of spectral information. The study on the objects'spectral character is the very important portion of modern remote sensing technology. It is not only the warrant of remote sensors'waveband selecting and designing but also the base of remote sensing data' analysis and interpretation.The study on biophysical and biochemical characteristics of plant is the most prime and core part of hyperspectra. Some studies on agriculture and forest were carried abroad, but in China the hyperspectral study is mostly focused on agriculture and less on forestry.In this study, young camphor was selected as interesting object, and the spectral reflectance of canopy was measured by ASD HandHeld Spectrometer in field. Some biochemical parameters including chlorophyll-a content, chlorophyll-b content, total chlorophyll content, carrot content, cellulose conten, total nitrogen conten, total phosphor content were measured at the same time. ViewSpec Proversion 4.02, SPSS 13.0 (Statistical Package for Social) and Excel software were used to process these datum. Multifactor linear stepwise regression technique and curve fitness analysis were adopted to discuss the correlation between camphor main biochemical parameters with raw hyperspectral reflectance as well as its different transformations, which include its first differential spectral reflectance, hyperspectral characteristic variables, vegetation indices. Then, some estimation models of different biochemical parameters were built based on the results of correlation analysis, finally, the predictive precisions were checked for those chosen models in order to determine the best estimation models for biochemical parameters. The models of carrot and total phosphor which couldn't pass the precision check were driven out. The suitable models are following:...