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Generating a series of land covers by assimilating the existing land cover maps

机译:通过吸收现有的土地覆盖图来生成一系列的土地覆盖

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摘要

Land cover (LC), which describes the physical material of land surface, is an important parameter in earth system science. With more and more LC data available, this research aims to establish a data assimilation framework for integrating continuous LC time series based on the existing LC products. The framework is designed by borrowing the basic concept from data assimilation to find out the optimal LC time series based on existing observations. According to the observing system simulation experiments, the assimilation framework showed a good performance against noises and uncertainties. Moreover, after validation with the existing LC reference data, the averaged accuracy of the LC data produced using the assimilation framework was 73.7%, which is a great improvement compared to the existing LC maps considering the temporal continuity. This LC map assimilation framework would be useful for assessing the global LC changes and related researches.
机译:描述土地表面物理物质的土地覆盖(LC)是地球系统科学中的重要参数。随着越来越多的LC数据可用,本研究旨在建立一个基于现有LC产品集成连续LC时间序列的数据同化框架。通过从数据同化中借用基本概念来设计框架,以基于现有观测值找出最佳LC时间序列。根据观测系统的仿真实验,该同化框架具有良好的抗噪声和不确定性性能。此外,在使用现有LC参考数据进行验证之后,使用同化框架生成的LC数据的平均准确度为73.7%,与考虑到时间连续性的现有LC映射相比,这是一个很大的进步。该LC地图同化框架将有助于评估全球LC变化和相关研究。

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