Spatial Scale Conversion Analysis Of Remote Sensing Data Based On DART Model

The conversion between different scale remote sensing data is an important problem in the development of remote sensing, in order to achieve the low resolution remote sensing data from high resolution remote sensing data information between the transformation, this article in changing district of Beijing in 2013-2014 national precision agriculture demonstration base of wheat growing areas measured data as data sources, to DART model as a platform for wheat canopy reflectance parameters on the sensitivity analysis, the analysis of the spatial scale conversion model establishment and.Aimed to explore and analyze information is difficult to obtain high spatial resolution data, through the low resolution data transformation to get high score data information, provide certain data for agricultural remote sensing data access to information.This paper mainly on wheat crop as the research object, according to the characteristic and principle of DART model, a combination of ground remote sensing data, to simulate the scene of wheat, and to analyze the influence of parameter in the model of wheat canopy reflectance, determine the sensitive factor, so that used to simulate the crown layer reflection spectra of the next step; according to the sensitivity analysis results, this paper select the 2m,10m and 30m scales were the establishment of visible light and near infrared band canopy reflectance model and spatial scaling of model and analysis, to achieve the conversion to get high marks the data information from low data information, and correlation analysis was conducted by model.The research results show that:the coupling DART model with the ground remote sensing data based on vegetation structure, simulation, analysis of wheat canopy spectral sensitivity parameter model, by sensitivity analysis, leaf area index and leaf angle distribution is relatively sensitive to model parameters, in crop yield simulation or spatial scaling analysis, should be accurate input these parameters, the other parameter values can be a reference to the relevant documents input; construction scale transformation model, to realize the low resolution data to the high resolution data down scaling; solve the high resolution remote sensing numerical often can not obtain, expensive problems, through the information of low resolution remote sensing data to launch get information from high resolution remote sensing data,solve the practical application required problem.