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首页> 外文会议>Asian conference on remote sensing >CHARACTERIZATION OF LAND COVER HETEROGENEITY ON MODIS IMAGE USING FINER SPATIAL RESOLUTION OF LANDSAT-7ETM IMAGE IN LABANAN FOREST CONCESSION, EAST KALIMANTAN, INDONESIA
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CHARACTERIZATION OF LAND COVER HETEROGENEITY ON MODIS IMAGE USING FINER SPATIAL RESOLUTION OF LANDSAT-7ETM IMAGE IN LABANAN FOREST CONCESSION, EAST KALIMANTAN, INDONESIA

机译：利用Landsat-7ETM图像中的Landsat-7ETM图像中的MODIS图像对陆地覆盖异质性的特征

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摘要

Landsat-7 image can be used to classi fy LAI accurately, but has low over pass frequency (16 days) and covers a small area. MODIS image has a high overpass frequency (1 and 2 days) and covers a large area, however has a low spatial resolution. It is assum ed that by developing a framework, a relationship can be developed between land cover and LAI by using two im ages of different spatial resolutions. This relationship can be used in refining the biophysical models, which would be very important output among the scientific community. By inverting the biophysical model developed the assessm ent of LAI at the level of individual forest types within the MODIS pixel can be done . The objectives are; to im prove accuracy of estimation of the biophysical param eters (LAI) from coarse resolution im agery by applying surface heterogeneity derived from finer satellite imagery;
机译：Landsat-7图像可准确地用于Classi Fy Lai，但通过频率低（16天）并覆盖一个小区域。 MODIS IMAGE具有高端频率（1和2天），覆盖大面积，但空间分辨率低。假设通过开发框架，通过使用两年的不同空间分辨率，可以在陆地覆盖和莱之间开发一种关系。这种关系可用于精炼生物物理模型，这将是科学界之间的非常重要的产出。通过反转生物物理模型，可以在MODIS像素内的单个森林类型的水平上开发了莱的评估孔。目标是;通过施加从更精细卫星图像施加的表面异质性来证明来自粗糙分辨率IM刺激的生物物理PARETERS（LAI）的准确性;

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