应用MODIS进行草原生物量估测误差原因分析

草原生物量遥感监测从地面调查到遥感分析涉及诸多环节和步骤,不计偶然误差,系统误差存在于每一个环节,造成系统误差的原因来自多方面,一是遥感影像的分辨率低、噪声多和处理过程中信息损失;二是地面样方信息的不确定性和片面性;三是当前遥感监测业务和技术发展水平的局限等。本研究结合当前普遍应用的草原监测方法,总结并分析了各种误差来源和对监测结果产生的影响。

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.