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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery
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Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery

机译:多尺度遥感影像对热带森林覆盖的变异分析

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摘要

Tropical forest mapping is one of the major environmental concerns at global and regional scales in which remote sensing techniques are firmly involved. This study examines the use of the variogram function to analyse forest cover fragmentation at different image scales. Two main aspects are considered here: (1) analysis of the spatial variability structure of the forest cover observed at three different scales using fine, medium and coarse spatial resolution images; and (2) the study of the relationship between rescaled images from the finest spatial resolution and those of the medium and coarse spatial resolutions. Both aspects are analysed using the variogram function as a basic tool to calculate and interpret the spatial variability of the forest cover. An example is presented for a Brazilian tropical forest zone using satellite images of different spatial resolutions acquired by Landsat TM (30 m), Resurs MSU (160 m) and ERS ATSR (1000 m). The results of this study contribute to establishing a suitable spatial resolution of remotely sensed data for tropical forest cover monitoring.
机译:热带森林制图是全球和区域范围内主要涉及遥感技术的主要环境问题之一。本研究考察了变异函数功能在不同图像比例下分析森林覆盖碎片的情况。这里考虑两个主要方面:(1)使用精细,中等和粗糙的空间分辨率图像分析在三个不同尺度上观察到的森林覆盖物的空间变异性结构; (2)研究从最佳空间分辨率的缩放图像与中等和粗糙空间分辨率的图像之间的关系。使用变异函数作为基本工具来分析和分析这两个方面,以计算和解释森林覆盖率的空间变异性。通过使用Landsat TM(30 m),Resurs MSU(160 m)和ERS ATSR(1000 m)采集的不同空间分辨率的卫星图像,给出了一个巴西热带森林带的示例。这项研究的结果有助于建立适当的空间分辨率的遥感数据,用于热带森林覆盖率监测。

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