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Monitoring changes in tropical forests using L-band synthetic aperture radar data

机译:使用L波段合成孔径雷达数据监测热带林中的变化

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In the paper, we present the performance analyses of the L-band SAR data (PALSAR and Pi-SAR-L2) for tropical deforestation and degradation monitoring in Riau province, Indonesia. For deforestation monitoring, accuracy assessment and demonstration of wide area mapping using the time series PALSAR gamma naught mosaics were shown. We used a simple thresholding for the temporal gamma naught changes in HV polarization, which allowed us to map annual deforestation full-automatically with over 90 % accuracy and 100 m resolution. For degradation, we found that texture information in backscatter intensity images has a potential for wall-to-wall mapping the changes of canopy structure due to fallen trees.
机译:在本文中,我们介绍了在印度尼西亚瑞亚省热带砍伐和降解监测的L频段SAR数据(PALSAR和PI-SAR-L2)的性能分析。出现了使用时间序列Palsar Gamma Naught MORAICS的砍伐监测,准确评估和广域绘图的示范。我们使用了一个简单的kamma naugge的HV极化变化的简单阈值,这让我们允许我们全自动地映射,以超过90%的精度和100米分辨率。为了降级,我们发现反向散射强度图像中的纹理信息具有壁到墙壁绘制由于树木倒塌而导致的冠层结构的变化。

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