Abstract
Systematical study on scaling and scaling effects and comprehensive utilization of an increasing number of different resolution remote sensing image data is one of the trends of scientific development on geo-spatial information.In order to provided the background knowledge to the further multi-scaling transformation study,this paper,as a preliminary work in the major topic of multi-scaling transformation,tried to verify the validation of the products from different scaling,to found the potential problems in the process of the multi-scaling transformation,and to explore some feasible methods for scaling transformation through the comparison and analysis.In this paper,the multi-scaling snow cover area acquisition mainly included:① the field measurements in sub-pixels plot with 1m resolution,② the resampled sub-pixel plot with 30 m resolution,the satellite inversion from Hyperion and TM with 30 m resolution,and the MODIS daily snow cover product MOD10A1 with 500 m resolution.Through the comparison of the several types of Snow Cover Area(SCA),it has been found that:① the SCA of sub-pixel plot with the 1m resolution the SCA of the resampled sub-pixel plot with 30 m resolution the inversion of SCA from Hyperion and TM with 30 m resolution;② If the plot with 1m resolution was used as the single point test which aimed at the image with 500 m spatial resolution,the characterization of the single point can not completely indicated the feature in the same geographical location on images with low resolution;③ A methods of snow cover synthesis was used to help determine and resume the type of surface under the clouds at the region covered with clouds in the MOD10A1 SCA daily product.At the same time,through the validation of SCA test on the pixel level scale,nine potential and the key issues of the scaling transformation has also been found:① Accurate position against the pixel matching;② Resampling methods;③ Data acquisition time and time series of the products;④ multi-sensor image processing;⑤ the impact of product algorithm;⑥ the impact of mixed-pixel;⑦ the size and design about the in-situ plots;⑧ the synchronous ground measurements of multi-physical-parameter;⑨ the quantitative expression of the Spatial heterogeneity.
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