Errors analysis of grassland biomass investigation based on MODIS data

There were many procedures involved in grassland biomass remote sensing monitoring from ground surveys to remote sensing analysis which resulted in systematic errors accumulated from system error existed in each procedure even excluding accidental error. There were 3 possible reasons for these errors. The first reason was that low resolution of remote sensing image, noise and the damage during the processing of information. The second reason was that the uncertainty and one-sidedness of ground sampling information. The third reason was that the limitation of the current remote sensing monitoring service range and low developing level of science and technology. In the present study, we combined with the current widely applied methods of grassland monitoring, then summarized and analyzed the various error sources and the impact on monitoring results.