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首页> 外文期刊>International journal of remote sensing >Using unmanned aerial vehicles for high-resolution remote sensing to map invasive Phragmites australis in coastal wetlands
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Using unmanned aerial vehicles for high-resolution remote sensing to map invasive Phragmites australis in coastal wetlands

机译：使用无人飞行器进行高分辨率遥感制图绘制沿海湿地中的侵入性芦苇

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摘要

The wetland plant species, Phragmites australis, is present on every continent except Antarctica. Both native and non-native subspecies thrive in the USA with the non-natives quickly displacing native wetland plants. Along the Gulf Coast, Phragmites grows in very dense stands, and at heights of greater than 4.6 m, is usually the tallest grass species in a wetland, estuary, and marsh ecosystems. Phragmites is known to alter the ecology of these wetland systems making them less suitable as habitat for many species of flora and fauna. Furthermore, Phragmites presents a navigation hazard to smaller boats by impairing visibility along shorelines and around bends of canals and rivers. Management efforts targeting non-native Phragmites rely heavily on accurately mapping invaded areas. Historically, mapping has been done through walking the perimeter of a stand with a Global Positioning System (GPS) unit, using satellite imagery, or through the use of aerial photography from manned aircraft. These methods are time consuming, are expensive, can have an inadequate resolution, and in some cases are prone to human error. In this work, an Unmanned Aerial System (UAS) was used to capture visible imagery to create a basin-wide distribution map of a large wetland along the US Pearl River delta in southeastern Louisiana. The imagery was collected in the summer and individual images were mosaicked to create a larger map. We then evaluated the use of texture analysis on the mosaics to automatically map the invasive. Specifically, Gabor filters, grey level co-occurrence matrices, segmentation-based fractal texture analysis, and wavelet-based texture analysis were compared for mapping the Phragmites. Our experimental results, conducted using the imagery we collected over four study areas (approximately 2250 ha) along the US Pearl River delta, indicate the proposed texture-based approach yields an average accuracy of 85%, an average kappa accuracy of 70%. These maps have shown to be very useful for resource managers to hasten the eradication efforts of Phragmites.
机译：除南极洲外，每个大陆都存在湿地植物物种芦苇（Phragmites australis）。本地和非本地亚种在美国都非常活跃，非本地人迅速取代了本地湿地植物。沿着墨西哥湾沿岸，芦苇生长在非常茂密的林分中，高度超过4.6 m，通常是湿地，河口和沼泽生态系统中最高的草种。众所周知，芦苇会改变这些湿地系统的生态，使其不适合作为许多动植物物种的栖息地。此外，芦苇会削弱沿海岸线以及运河和河流弯道周围的能见度，从而对较小的船只造成航行危险。针对非本地芦苇的管理工作在很大程度上依赖于准确绘制入侵区域的地图。从历史上看，地图是通过使用全球定位系统（GPS）单元在展台周围行走，使用卫星图像或通过使用有人驾驶飞机的航拍来完成的。这些方法耗时，昂贵，解析度不足，并且在某些情况下容易出现人为错误。在这项工作中，使用了无人航空系统（UAS）捕获可见图像，以创建沿路易斯安那州东南部美国珠江三角洲的大湿地的全流域分布图。这些图像是在夏季收集的，并且将各个图像镶嵌在一起以创建更大的地图。然后，我们评估了在镶嵌图上使用纹理分析以自动绘制侵入图的使用。具体来说，比较了Gabor滤波器，灰度共现矩阵，基于分割的分形纹理分析和基于小波的纹理分析，以绘制Phragmites。我们的实验结果是使用我们在美国珠江三角洲四个研究区域（约2250公顷）上收集的图像进行的，表明所提出的基于纹理的方法的平均准确度为85％，平均kappa准确度为70％。这些地图对于资源管理者加速消灭芦苇的工作非常有用。

著录项

  • 来源
    《International journal of remote sensing》 |2017年第10期|2199-2217|共19页
  • 作者

    Samiappan Sathishkumar; Turnage Gray; Hathcock Lee; Casagrande Luan; Stinson Preston; Moorhead Robert;

  • 作者单位

    Mississippi State Univ, Geosyst Res Inst, 2 Res Blvd, Starkville, MS 39759 USA;

    Mississippi State Univ, Geosyst Res Inst, 2 Res Blvd, Starkville, MS 39759 USA;

    Mississippi State Univ, Geosyst Res Inst, 2 Res Blvd, Starkville, MS 39759 USA;

    Univ Fed Santa Catarina, Dept Comp Engn, Florianopolis, SC, Brazil;

    Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS USA;

    Mississippi State Univ, Geosyst Res Inst, 2 Res Blvd, Starkville, MS 39759 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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