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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >WETLAND CLASSIFICATION FOR BLACK DUCK HABITAT MANAGEMENT USING COMBINED POLARIMETRIC RADARSAT 2 AND SPOT IMAGERY
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WETLAND CLASSIFICATION FOR BLACK DUCK HABITAT MANAGEMENT USING COMBINED POLARIMETRIC RADARSAT 2 AND SPOT IMAGERY

机译:结合极化雷达2和点成像技术对黑鸭栖息地进行湿地分类

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摘要

The black duck population has decreased significantly due to loss of its breeding habitat. Wetlands are an important feature that relates to habitat management and requires monitoring. Synthetic Aperture Radar (SAR) systems are helpful to map the wetland as the microwave signals are sensitive to water content and can be used to map surface water extent, saturated soils, and flooded vegetation. In this study, RadarSat 2 Polarimetric data is employed to map surface water and track changes in extent over the years through image thresholding and reviewed different approaches of Polarimetric decompositions for detecting flooded vegetation. Also, object-based analysis associated with beaver activity is conducted with combined multispectral SPOT satellite imagery. Results show SAR data has proven ability to improve mapping open water areas and locate flooded vegetation areas.
机译:由于失去了繁殖栖息地,黑鸭种群已大大减少。湿地是与栖息地管理相关的重要特征,需要进行监控。合成孔径雷达(SAR)系统有助于绘制湿地图,因为微波信号对水分敏感,可用于绘制地表水范围,饱和土壤和水淹植被。在这项研究中,利用RadarSat 2极化数据绘制地表水,并通过图像阈值跟踪多年来的变化,并回顾了极化分解的不同方法来检测淹没的植被。而且,与海狸活动相关的基于对象的分析是通过组合多光谱SPOT卫星图像进行的。结果表明,SAR数据已被证明具有改善开放水域地图绘制和淹没植被区域定位的能力。

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