Influence of scale variation on regional precision of rape acreage remote sensing monitoring

The remote sensing techniques have been in good operation in the application study on crop acreage monitoring from the initial small regions up to now. The crop acreage monitoring is one of element tasks in the remote-sensing yield estimation, and its precise results can affect the reliability and applicability of the data directly. With development of data sets of multispectral and multi-spatial resolutions, the comprehensive application for multi-scale remote sensing data sources is the evitable trend in the operation of the remote sensing monitoring of the large crop acreage. Thus, it is imperative to study influence of the scale variation on remote sensing monitoring precision of the crop acreage. In the paper, Anhui Province as the research area, with rapeseed for target crops, using high spatial resolution spectrum of remote sensing image (SPOT5) cultivated area is extracted, then the extracted results in different spatial resolutions are available with the scale conversion of the results based on the principle of a simple majority. In this paper, the scale effect in crop acreage remote sensing monitoring is analyzed systematically in different spatial resolution, different monitoring methods and different remote sensing times by making use of the high spatial resolution satellite data and many precision evaluation indexes. The results lays the foundation in theory and experiment for data selection and precision guarantee in the crop acreage remote sensing monitoring based on multi-scale remote sensing data.