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Absolute and relative height-pixel accuracy of SRTM-GL1 over the South American Andean Plateau

机译:南美安第斯高原地区SRTM-GL1的绝对和相对高度像素精度

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Previously available only over the Continental United States (CONUS), the 1 arc-second mesh size (spatial resolution) SRTM-GL1 (Shuttle Radar Topographic Mission - Global 1) product has been freely available worldwide since November 2014. With a relatively small mesh size, this digital elevation model (DEM) provides valuable topographic information over remote regions. SRTM-GL1 is assessed for the first time over the South American Andean Plateau in terms of both the absolute and relative vertical point-to-point accuracies at the regional scale and for different slope classes. For comparison, SRTM-v4 and GDEM-v2 Global DEM version 2 (GDEM-v2) generated by ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) are also considered. A total of approximately 160,000 ICESat/GLAS (Ice, Cloud and Land Elevation Satellite/Geoscience Laser Altimeter System) data are used as ground reference measurements. Relative error is often neglected in DEM assessments due to the lack of reference data. A new methodology is proposed to assess the relative accuracies of SRTM-GL1, SRTM-v4 and GDEM-v2 based on a comparison with ICESat/GLAS measurements. Slope values derived from DEMs and ICESat/GLAS measurements from approximately 265,000 ICESat/GLAS point pairs are compared using quantitative and categorical statistical analysis introducing a new index: the False Slope Ratio (FSR). Additionally, a reference hydrological network is derived from Google Earth and compared with river networks derived from the DEMs to assess each DEM's potential for hydrological applications over the region. In terms of the absolute vertical accuracy on a global scale, GDEM-v2 is the most accurate DEM, while SRTM-GL1 is more accurate than SRTM-v4. However, a simple bias correction makes SRTM-GL1 the most accurate DEM over the region in terms of vertical accuracy. The relative accuracy results generally did not corroborate the absolute vertical accuracy. GDEM-v2 presents the lowest statistical results based on the relative accuracy, while SRTM-GL1 is the most accurate. Vertical accuracy and relative accuracy are two independent components that must be jointly considered when assessing a DEM's potential. DEM accuracies increased with slope. In terms of hydrological potential, SRTM products are more accurate than GDEM-v2. However, the DEMs exhibit river extraction limitations over the region due to the low regional slope gradient. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
机译:以前仅在美国大陆(CONUS)上可用,自2014年11月起已在全球范围内免费提供1弧秒网格大小(空间分辨率)的SRTM-GL1(航天飞机雷达地形任务-全球1)产品。尺寸,这种数字高程模型(DEM)可在偏远地区提供有价值的地形信息。 SRTM-GL1首次在南美安第斯高原上进行了区域范围和不同坡度类别的绝对和相对垂直点对点精度的评估。为了进行比较,还考虑了ASTER(先进的星载热发射和反射辐射仪)生成的SRTM-v4和GDEM-v2全球DEM版本2(GDEM-v2)。总共约有160,000个ICESat / GLAS(冰,云和土地高程卫星/地球科学激光测高仪系统)数据用作地面参考测量。由于缺乏参考数据,在DEM评估中经常忽略相对误差。基于与ICESat / GLAS测量的比较,提出了一种新的方法来评估SRTM-GL1,SRTM-v4和GDEM-v2的相对精度。使用定量和分类统计分析方法引入了一个新指标:假斜率(FSR),比较了DEM和来自约265,000 ICESat / GLAS点对的ICESat / GLAS测量得出的斜率值。此外,参考水文网络来自Google Earth,并将其与DEM中的河流网络进行比较,以评估每个DEM在该地区的水文应用潜力。就全球范围内的绝对垂直精度而言,GDEM-v2是最准确的DEM,而SRTM-GL1比SRTM-v4更准确。然而,就垂直精度而言,简单的偏置校正使SRTM-GL1在该区域内成为最准确的DEM。相对精度结果通常不能证实绝对垂直精度。基于相对准确度,GDEM-v2呈现的统计结果最低,而SRTM-GL1最准确。垂直精度和相对精度是评估DEM潜力时必须共同考虑的两个独立组件。 DEM精度随斜率增加。在水文潜力方面,SRTM产品比GDEM-v2更准确。然而,由于低的区域坡度梯度,DEM在该区域表现出河流提取的局限性。 (C)2016国际摄影测量与遥感学会(ISPRS)。由Elsevier B.V.发布。保留所有权利。

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  • 作者单位

    Univ Brasilia, Inst Geociencia, Brasilia, DF, Brazil|Observ Changements Environm Amazonie, Lab Mixte Int, Brasilia, DF, Brazil;

    Univ Brasilia, Inst Geociencia, Brasilia, DF, Brazil;

    Univ Mayor San Andres, Inst Hidraul & Hidrol, La Paz, Bolivia;

    Univ Paul Sabatier, CNRS, Inst Rech Dev, Geosicence Environm Toulouse, Toulouse, France;

    Univ Estado Amazonas, Recursos Hidr & Altimetria Espacial Amazonia, Manaus, Amazonas, Brazil|Observ Changements Environm Amazonie, Lab Mixte Int, Brasilia, DF, Brazil;

    Univ Mayor San Andres, Inst Hidraul & Hidrol, La Paz, Bolivia;

    Univ Brasilia, Inst Geociencia, Brasilia, DF, Brazil|Observ Changements Environm Amazonie, Lab Mixte Int, Brasilia, DF, Brazil;

    Observ Changements Environm Amazonie, Lab Mixte Int, Brasilia, DF, Brazil|Inst Rech Dev, ESPACE DEV, Montpellier, France;

    Univ Paul Sabatier, CNRS, Inst Rech Dev, Geosicence Environm Toulouse, Toulouse, France|Observ Changements Environm Amazonie, Lab Mixte Int, Brasilia, DF, Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Digital elevation model; SRTM; Accuracy; South America; Andean Plateau;

    机译:数字高程模型SRTM精度南美安第斯高原;

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