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Accuracy evaluation of multi-source DEM data based on the analysis of vegetation-induced penetration rate in the forest area

  • role： First author第一作者
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430078, China

  • Email：1565585625@qq.com
  • Introduction：蔡士雪，研究方向为多源高程数据精度评价及树高去除。E-mail： 1565585625@qq.com
CAI Shixue1,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430078, China

  • Email：yuelw@cug.edu.cn
  • Introduction：岳林蔚，研究方向为空间数据质量改善、多源遥感数据融合、图像超分辨率重建、水环境协同分析等。E-mail： yuelw@cug.edu.cn
YUE Linwei1*,  
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430078, China

YIN Chao1,  
  • Affiliation：

    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

QIU Zhonghang2

résumé

With the development of modern remote sensing observation technology, there are several versions of public elevation datasets. However, due to the shielding effect or absorption of electromagnetic waves by dense vegetation in forest areas, the elevation obtained by remote sensing techniques is inevitably influenced by the systematic deviation. In this paper, the radar-derived DEM products (i.e., SRTM1 and TanDEM-X 90) and optical-sensor based AW3D30 dataset were chosen to analyze the characteristics of elevation deviations of multi-source DEM products in forest areas. The Maryland and Sonoma County of the United States were selected as the study regions. Using the 3DEP as the reference of bare-ground elevation, the vegetation-induced penetration rates of the three elevation products in the areas with different terrain conditions and covered by various forest types were obtained. The results showed that the overall penetration rate of SRTM1 obtained through C-band radar detection is the largest among the three datasets, followed by TanDEM-X 90 and AW3D 30 with comparable penetration rates. In terms of forest types, the penetration rates in coniferous forests are greater than that in broad-leaved forest. Moreover, the forest penetration rate decreases with the increase of canopy coverage, especially for TanDEM-X 90 and AW3D 30. In addition to the influence of detection wavelength, the main reason is that both TanDEM-X 90 and AW3D 30 are sampled from high-resolution data, and the high-resolution raw data before resampling make it easier to detect the open area between trees. In addition, the complex terrain environment will decrease the vertical accuracy of DEM datasets, and result in relatively lower penetration rates. Based on the results, the vegetation-induced penetration rate was synthetically affected by multiple factors, including sensor’s working waveband, forest type, canopy coverage, and terrain slope. The canopy height should be removed for the elevation datasets considering different penetration power of vegetation to obtain more accurate surface information. This research is helpful in improving the accuracy of canopy height removal for elevation products, and it provides a scientific reference basis for users when selecting the appropriate elevation products in the applications.

mots-clés

SRTM1;TanDEM-X 90;AW3D 30;forest area;penetration rate;accuracy evaluation

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