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Shore Zone Classification from ICESat-2 Data over Saint Lawrence Island

机译：Shore区分类来自Saint Lawrence Island的Icesat-2数据

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摘要

The shore zone is the most active zone in the atmosphere, hydrosphere, biosphere and lithosphere of nature, and has the environmental characteristics of both ocean and land. The ICESat-2 satellite provides height measurements of shore zone using a photon-counting LiDAR. The purpose of this study is to explore the application potential of ICESat-2 satellite data in shore zone classification. Saint Lawrence Island, Alaska, was chosen as the study area. Firstly, in this study, the upper and lower boundaries of the shore zone of the study area were extracted based on Google Earth images. The slope and width between the two boundaries were then calculated according to the formula. Secondly, six statistical indicators (standard deviation, relative standard deviation, average absolute deviation, relative average deviation, absolute median error and quartile deviation) related to the substrate and sediment classification that could reflect the characteristics of the shore zone profile were extracted, and the statistical indicators were used as input parameters of the softmax regression model for classification. Finally, the accuracy of the shore zone classification was validated using the ShoreZone classification system. The results show that, among the 246 shore zone sections in the study area, 86% (212) has been correctly classified. The results therefore indicate that ICESat-2 data can be used to support the characterization of shore zone morphology.
机译：岸区是大气中最活跃的区域，水圈，生物圈和岩石圈的自然界，具有海洋和土地的环境特征。 ICESAT-2卫星使用光子计数的LIDAR提供肖氏区的高度测量。本研究的目的是探讨岸区分类中ICESAT-2卫星数据的应用潜力。萨莱斯岛阿拉斯加，被选为研究区。首先，在本研究中，基于Google接地图像提取研究区域的肖氏区的上边界。然后根据公式计算两个边界之间的斜率和宽度。其次，提取与基板和沉积物分类有关的六种统计指标（标准偏差，相对标准偏差，平均绝对偏差，相对平均偏差，绝对中值，绝对中值，绝对中值，绝对中值，绝对偏差，绝对中值，绝对中值，绝对偏差，绝对中值，绝对偏差，绝对偏差，绝对偏差，绝对偏差，绝对偏差是可能反映岸区剖面的特征的分类统计指标用作分类Softmax回归模型的输入参数。最后，使用ShoreZone分类系统验证了岸区分类的准确性。结果表明，在研究区域的246个岸区部分中，86％（212）已正确分类。因此，结果表明ICESAT-2数据可用于支持岸区形态的表征。

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  • 来源
    《Marine Geodesy》 |2021年第5期|454-466|共13页
  • 作者

    Xie Huan; Sun Yuan; Liu Xiaoshuai; Xu Qi; Guo Yalei; Liu Shijie; Xu Xiong; Liu Sicong; Tong Xiaohua;

  • 作者单位

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

    Tongji Univ Coll Surveying & Geoinformat Shanghai Key Lab Planetary Mapping & Remote Sensi Shanghai Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ATL03; ICESat-2; Saint Lawrence Island; shore zone classification;

    机译：ATL03;ICESAT-2;圣劳伦斯岛;岸区分类;

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