Assessment of TanDEM-X DEM 2020 Data in Temperate and Boreal Forests and Their Application to Canopy Height Change

被引:2
|
作者
Schlund, Michael [1 ]
von Poncet, Felicitas [2 ]
Wessel, Birgit [3 ]
Schweisshelm, Barbara [4 ]
Kiefl, Nadine [5 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat, Enschede, Netherlands
[2] Intelligence Airbus Def & Space, Immenstaad, Germany
[3] German Aerosp Ctr DLR, German Remote Sensing Data Ctr, Oberpfaffenhofen, Germany
[4] German Aerosp Ctr DLR, Remote Sensing Technol Inst, Oberpfaffenhofen, Germany
[5] Bayer Staatsforsten AoR, Munich, Germany
来源
PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE | 2023年 / 91卷 / 02期
关键词
InSAR; TanDEM-X; Canopy height changes; LiDAR; Forest; BIOMASS; PENETRATION; PERFORMANCE; PREDICTION; RADAR; MODEL;
D O I
10.1007/s41064-023-00235-1
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Space-borne digital elevation models (DEM) are considered as important proxy for canopy surface height and its changes in forests. Interferometric TanDEM-X DEMs were assessed regarding their accuracy in forests of Germany and Estonia. The interferometric synthetic aperture radar (InSAR) data for the new global TanDEM-X DEM 2020 coverage were acquired between 2017 and 2020. Each data acquisition was processed using the delta-phase approach for phase unwrapping and comprise an absolute height calibration. The results of the individual InSAR heights confirmed a substantial bias in forests. This was indicated by a mean error (ME) between - 5.74 and - 6.14 m associated with a root-mean-squared-error (RMSE) between 6.99 m and 7.40 m using airborne light detection and ranging (LiDAR) data as a reference. The bias was attributed to signal penetration, which was attempted to be compensated. The ME and RMSE improved substantially after the compensation to the range of - 0.54 to 0.84 m and 3.55 m to 4.52 m. Higher errors of the penetration depth compensated DEMs compared to the original DEMs were found in non-forested areas. This suggests to use the penetration compensation only in forests. The potential of the DEMs for estimating height changes was further assessed in a case study in Estonia. The canopy height change analysis in Estonia indicated an overall accuracy in terms of RMSE of 4.17 m and ME of - 0.93 m on pixel level comparing TanDEM-X and LiDAR height changes. The accuracy improved substantially at forest stand level to an RMSE of 2.84 m and an ME of - 1.48 m. Selective penetration compensation further improved the height change estimates to an RMSE of 2.14 m and an ME of - 0.83 m. Height loss induced by clearcutting was estimated with an ME of - 0.85 m and an RMSE of 3.3 m. Substantial regrowth resulted in an ME of - 0.46 m and an RMSE of 1.9 m. These results are relevant for exploiting multiple global acquisitions of TanDEM-X, in particular for estimating canopy height and its changes in European forests.
引用
收藏
页码:107 / 123
页数:17
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