MODIS-NDVI-Based crop growth monitoring in China Agriculture Remote Sensing Monitoring System

Crop growth monitoring timely and accurately during the growing season is of great importance for accurate yield estimation, which can provide information support for making and adjusting agricultural policies. In this paper, a MODIS-NDVI-based method for operational crop growth monitoring in China Agriculture Remote Sensing Monitoring System (CHARMS) was presented. Some meteorological data such as temperature, precipitation and sunshine, as well as the field observation data were used to modify the models parameters. The crop growth conditions were categorized into three classes, better than usual, usual and worse than usual. Finally, the application of this method to spring wheat, winter wheat, spring maize, summer maize, cotton, soybean and paddy rice and its results were introduced.