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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Flood Mapping With TerraSAR-X in Forested Regions in Estonia
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Flood Mapping With TerraSAR-X in Forested Regions in Estonia

机译：爱沙尼亚森林地区的TerraSAR-X洪水地图

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In this study, an extensive flood in Estonia during spring 2010 was mapped with TerraSAR-X data acquired over both open and forested areas. This was the first time when a large scale flooding area was mapped in Estonia by means of spaceborne remote sensing. This was also the first time when X-band SAR images were successfully used for flood mapping under the forest canopy in the temperate forest zone. The tree height in the study region was 15–25 meters on average, and main tree species were birch (leaf-off condition), pine and spruce. The results were compared with ALOS PALSAR and Envisat ASAR images of the same flooding event. In the study area, TerraSAR-X provided on average 3.2 dB higher backscatter over mixed forest flooded areas compared to non-flooded areas. In deciduous and coniferous forests the difference in average backscatter between flooded and non-flooded forests was even greater, 6.2 dB and 4.0 dB, respectively. A supervised classification algorithm was developed to produce high resolution maps of the flooded area from the TerraSAR-X images to demonstrate the flood mapping capability at X-band. Our results show, that spaceborne X-band SAR data, which currently has the highest resolution among the SAR instruments in space, can be used to map floods under forest canopy in temperate zone despite its short wavelength and high attenuation.
机译：在这项研究中，利用在空旷和森林地区获得的TerraSAR-X数据，绘制了2010年春季爱沙尼亚发生的大面积洪水。这是第一次通过星载遥感在爱沙尼亚绘制大规模的洪水区域。这也是X波段SAR图像首次成功用于温带林区林冠下的洪水制图。研究区域的树高平均为15–25米，主要树种为桦木（叶型），松树和云杉。将结果与同一洪水事件的ALOS PALSAR和Envisat ASAR图像进行了比较。在研究区域中，与非淹没区域相比，TerraSAR-X在混交林淹没区域的反向散射平均高出3.2 dB。在落叶和针叶林中，淹没和未淹没森林之间的平均反向散射差异更大，分别为6.2 dB和4.0 dB。开发了一种监督分类算法，以从TerraSAR-X图像生成洪水区域的高分辨率地图，以展示X波段的洪水映射能力。我们的结果表明，尽管X波段SAR波长短，衰减高，但目前在空间SAR仪器中分辨率最高的星载X波段SAR数据可用于绘制温带森林冠层下的洪水图。

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