期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：929-934
出版社：Copernicus Publications
摘要：Many global problems can be estimated and forecasted by remote sensing with its advantage of periodicity, objectivity and large scale scope, besides plant area estimation. Conventional classification methods always lead to different extracting results from different resolution satellite images because of the difference between different remote sensors, different periods, different resolutions as well as other factors. This paper presents an extraction method under the restraint of total area of paddy rice, using a remote sensing sampling method to obtain accurate rice area, and re-extracting information under the restraint of total area of paddy rice, to minimize the inconsistency owing to different data sources. This study will also show that the consistency analysis model proves this method can provide a higher accuracy in extracting plant area from middle and low resolution satellite images, not only in total quantity but also in spatial distribution
