Progress in the study of crop yield estimation methods based on remote sensing and geographic information system

Abstract

The acquisition of such agricultural information as crop growth and output is of great significance for the development of modern agriculture. Recently,the techniques of remote sensing( RS) and geographic information system( GIS) have been widely used to estimate the crop yield and,as a result,a set of practical yield estimation methods are put forward. The yield estimation methods mainly include the yield estimation method combined with relative secondary data,the yield estimation method based on vegetation index,the yield estimation method based on the specific models,and the development of crop yield estimation platform( software). Among these means,the yield estimation method based on vegetation index is divided into two categories,i. e.,the single vegetation yield estimation method and the multiple vegetation index yield estimation method. A few crop yield estimation methods are analyzed in this paper based on studying many recently published papers in this field,and the advantages and disadvantages of each method are reviewed. In addition,the orientations for further research in this field are discussed and forecast so as to provide some valuable references for researchers in this field.