Applicability of the global TanDEM-X elevation data for terrain modelling of a forested karst area: a case study from Slovak Karst

IF 0.5 Q3 GEOGRAPHY
P. Bandura, M. Gallay
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引用次数: 1

Abstract

New interferometric radar data of the TanDEM-X space mission have become recently available as a global digital elevation model providing 0.4 arc second spatial resolution (ca. 12 meters). The TanDEM-X dataset brings new options into geoscientific research across multiple scales. However, the accuracy and suitability of this data have not been evaluated in such an extensive manner as, for example, the widely used SRTM data which resolution is 1 arc second (ca. 30 m). We present a validation of the vertical accuracy of TanDEM-X DEM product and an evaluation of its suitability for landform classification in a forested karst area. The DEM segmentation using geomorphons was used for the automated object-based landform classification. We focused on the identification of dolines for which polygons of dolines mapped by an expert-driven approach were used for validation. Airborne lidar data in the form of DSM and DTM were used as the reference dataset for validation of the TanDEM-X DEM vertical accuracy. The results from the study area show that the vertical RMSE of the TanDEM-X data is 3.42 m with respect to the lidar DSM and 9.64 m in comparison with lidar DTM. The identification of dolines by the geomorphon approach achieved 73 % with TanDEM-X, lower than for the lidar DTM (85 %). The TanDEM-X elevation errors were strongly correlated with the canopy height derived from the lidar data suggesting limited suitability of the TanDEM-X data for mapping fine-scale geomorphological features under forests while there was a good match with the lidar DTM terrain in open areas. URL: https://www.gcass.science.upjs.sk/
全球TanDEM-X高程数据在森林喀斯特地区地形建模中的适用性:斯洛伐克喀斯特地区的案例研究
TanDEM-X空间任务的新干涉雷达数据最近成为全球数字高程模型,提供0.4角秒的空间分辨率(约12米)。TanDEM-X数据集为跨多个尺度的地球科学研究带来了新的选择。然而,这些数据的准确性和适用性尚未得到广泛的评估,例如,广泛使用的分辨率为1角秒(约30米)的SRTM数据。我们提出了对TanDEM-X DEM产品垂直精度的验证,并评估了其在森林喀斯特地区地形分类的适用性。利用地貌学对DEM进行分割,实现了基于地物的地形自动分类。我们专注于识别由专家驱动的方法绘制的多线多边形用于验证的多线。以DSM和DTM两种形式的机载激光雷达数据作为参考数据集,验证了TanDEM-X DEM垂直精度。研究区结果表明,TanDEM-X数据相对于激光雷达DSM的垂直RMSE为3.42 m,相对于激光雷达DTM的垂直RMSE为9.64 m。TanDEM-X的地貌学方法对直线的识别率为73%,低于激光雷达DTM(85%)。TanDEM-X高程误差与由激光雷达数据获得的冠层高度密切相关,表明TanDEM-X数据对森林下精细尺度地貌特征的适用性有限,而与开放地区的激光雷达DTM地形匹配良好。URL: https://www.gcass.science.upjs.sk/
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
期刊介绍: Geographia Cassoviensis is a biannual peer-reviewed journal published by the Pavol Jozef Šafárik University in Košice since 2007. It is available both in print and open-access electronic version. The journal publishes original research articles from Geography and other closely-related research fields. Since 2016 the journal is indexed in SCOPUS and ERIH PLUS - European Reference Index for Humanities and Social Sciences, and since 2017 also in Emerging Sources Citation Index by Clarivate Analytics.
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