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Fusing ASTER data and MODIS LAI product to generate high spatial and temporal resolution LAI data in Heihe River Basin

机译:融合ASTER数据和MODIS LAI产品生成黑河流域的高时空分辨率LAI数据

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摘要

Based on the Aster LAI estimation, the main object of this paper is to generate the high spatial and high temporal resolution LAI product. One method is proposed to get high spatial and temporal resolution LAI product by fusing MODIS LAI product and Aster LAI . In this method , the LULC data is used to register with MODIS data, then the percentage of classes of PFT classification in the MODIS pixel can be calculated. And the multi-year mean MODIS LAI values are the background data, the Aster LAI is used to adjust this curve of multi-year mean MODIS LAI. And we validate LAI with high spatial and high temporal resolution using the measured data that is not to be used as the training data. The results is good and can meet our study needs.
机译:基于Aster LAI估计,本文的主要目的是生成高空间和高时间分辨率的LAI乘积。提出了一种将MODIS LAI乘积与Aster LAI融合得到高时空分辨率LAI乘积的方法。在该方法中,使用LULC数据向MODIS数据进行配准,然后可以计算出MODIS像素中PFT分类类别的百分比。多年平均MODIS LAI值是背景数据,Aster LAI用于调整多年平均MODIS LAI的曲线。并且我们使用不用作训练数据的测量数据验证了具有高空间和高时间分辨率的LAI。结果很好,可以满足我们的学习需求。

著录项

  • 来源
  • 会议地点 San Diego CA(US)
  • 作者单位

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, Beijing, China, 100875 Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China, 100875 School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China, 100875;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, Beijing, China, 100875 Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China, 100875 School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China, 100875;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, Beijing, China, 100875 Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China, 100875 School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China, 100875;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, Beijing, China, 100875 Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China, 100875 School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China, 100875;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

    fusing; MODIS LAI; ASTER; high resolution;

    机译:融合赖斯紫STER;高分辨率;

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