Avaliação comparativa da precisão vertical de modelos digitais de elevação derivados de satélites globais gratuitos

Heitor Carvalho Lacerda, R. Leitão, M. A. Nero, P. Temba, Diego Rodrigues Macedo
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Abstract

Digital Elevation Models (DEM) make it possible to identify geomorphological results and model the dynamics of processes on the earth's surface. Identifying and analyzing the vertical accuracy of DEMs is relevant to understand the possibilities of using remote sensing products, which are periodically updated in different versions to improve quality. is research compared different DEM, such as NASADEM, TOPODATA, ASTER GDEM and ALOS AW3D30 in the Cerrado biome area, in the lower slopes. e analysis consisted of sampling 1002 homologous points from GNSS control points with high precision, and sampling in a vertical profile in 149 homologous points, towards the mouth-east direction of the Uberabinha river section. Statistical analyzes were performed using RMSE and Box-Plot and line graphs.  The results showed that NASADEM was the most accurate vertically (RMSE 3.8) than the other DEMs, with TOPODATA being the least accurate DEM (RMSR 8.81). It was found that vertical accuracy is more related to the (re)processing of the analyzed DEMs than to the type of acquisition of information by sensors, such as the InSar method and photogrammetry.
免费全球卫星数字高程模型垂直精度基准
数字高程模型(DEM)使识别地貌结果和模拟地球表面过程的动力学成为可能。识别和分析dem的垂直精度对于了解使用不同版本的遥感产品的可能性具有重要意义,这些产品会定期更新以提高质量。本研究对比了Cerrado生物群区不同的DEM,如NASADEM、TOPODATA、ASTER GDEM和ALOS AW3D30,在较低的斜坡上。e分析包括在GNSS控制点上高精度采样1002个同源点,在乌比滨哈河段口东方向的垂直剖面上采样149个同源点。采用均方根误差、箱线图和折线图进行统计分析。结果表明,NASADEM的垂直精度最高(RMSE为3.8),TOPODATA的垂直精度最低(RMSE为8.81)。研究发现,垂直精度更多地与分析dem的(再)处理有关,而不是与传感器获取信息的类型(如InSar方法和摄影测量)有关。
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