Chinese Optics Letters, 2007, 5 (6): 367, Published Online: Jun. 30, 2007
A simple data assimilation method for improving the MODIS LAI time-series data products based on the object analysis and gradient inverse weighted filter 
Download： 777次
遥感 数据同化 叶面积指数 梯度倒数加权滤波 客观分析 280.0280 Remote sensing and sensors 100.0100 Image processing 110.3000 Image quality assessment
Abstract
A simple data assimilation method for improving estimation of moderate resolution imaging spectroradiometer (MODIS) leaf area index (LAI) time-series data products based on the gradient inverse weighted filter and object analysis is proposed. The properties and quality control (QC) of MODIS LAI data products are introduced. Also, the gradient inverse weighted filter and object analysis are analyzed. An experiment based on the simple data assimilation method is performed using MODIS LAI data sets from 2000 to 2005 of Guizhou Province in China.
Binbin He. A simple data assimilation method for improving the MODIS LAI time-series data products based on the object analysis and gradient inverse weighted filter[J]. Chinese Optics Letters, 2007, 5(6): 367.
PDF全文
