Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters

被引:105
作者
Adam, Markus [1 ]
Urbazaev, Mikhail [1 ]
Dubois, Clemence [1 ]
Schmullius, Christiane [1 ]
机构
[1] Friedrich Schiller Univ Jena, Dept Earth Observat, Loebdergraben 32, D-07743 Jena, Germany
关键词
spaceborne lidar; GEDI; accuracy assessment; canopy height model; digital terrain model; LIDAR-DERIVED ELEVATION; ICESAT/GLAS; AIRBORNE; BEECH;
D O I
10.3390/rs12233948
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lidar remote sensing has proven to be a powerful tool for estimating ground elevation, canopy height, and additional vegetation parameters, which in turn are valuable information for the investigation of ecosystems. Spaceborne lidar systems, like the Global Ecosystem Dynamics Investigation (GEDI), can deliver these height estimates on a near global scale. This paper analyzes the accuracy of the first version of GEDI ground elevation and canopy height estimates in two study areas with temperate forests in the Free State of Thuringia, central Germany. Digital terrain and canopy height models derived from airborne laser scanning data are used as reference heights. The influence of various environmental and acquisition parameters (e.g., canopy cover, terrain slope, beam type) on GEDI height metrics is assessed. The results show a consistently high accuracy of GEDI ground elevation estimates under most conditions, except for areas with steep slopes. GEDI canopy height estimates are less accurate and show a bigger influence of some of the included parameters, specifically slope, vegetation height, and beam sensitivity. A number of relatively high outliers (around 9-13% of the measurements) is present in both ground elevation and canopy height estimates, reducing the estimation precision. Still, it can be concluded that GEDI height metrics show promising results and have potential to be used as a basis for further investigations.
引用
收藏
页码:1 / 28
页数:28
相关论文
共 51 条
[1]   Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec [J].
Boudreau, Jonathan ;
Nelson, Ross F. ;
Margolis, Hank A. ;
Beaudoin, Andre ;
Guindon, Luc ;
Kimes, Daniel S. .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (10) :3876-3890
[2]  
Bretar C., 2008, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, V37, P415
[3]   Assessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data [J].
Chen, Qi .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) :111-122
[4]   Upward-fusion urban DTM generating method using airborne Lidar data [J].
Chen, Ziyue ;
Devereux, Bernard ;
Gao, Bingbo ;
Amable, Gabriel .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 72 :121-130
[5]  
DIVA-GIS, DEU ADM
[6]  
Dubayah R., 2020, GEDI L2B CANOPY COVE, DOI DOI 10.5067/GEDI/GEDI02_B.001
[7]  
Dubayah R., 2020, GEDI L2A ELEVATION H, DOI [10.5067/GEDI/GEDI02_A.001, DOI 10.5067/GEDI/GEDI02_A.001]
[8]   The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography [J].
Dubayah, Ralph ;
Blair, James Bryan ;
Goetz, Scott ;
Fatoyinbo, Lola ;
Hansen, Matthew ;
Healey, Sean ;
Hofton, Michelle ;
Hurtt, George ;
Kellner, James ;
Luthcke, Scott ;
Armston, John ;
Tang, Hao ;
Duncanson, Laura ;
Hancock, Steven ;
Jantz, Patrick ;
Marselis, Suzanne ;
Patterson, Paul L. ;
Qi, Wenlu ;
Silva, Carlos .
SCIENCE OF REMOTE SENSING, 2020, 1
[9]   Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California [J].
Duncanson, Laura ;
Neuenschwander, Amy ;
Hancock, Steven ;
Thomas, Nathan ;
Fatoyinbo, Temilola ;
Simard, Marc ;
Silva, Carlos A. ;
Armston, John ;
Luthcke, Scott B. ;
Hofton, Michelle ;
Kellner, James R. ;
Dubayah, Ralph .
REMOTE SENSING OF ENVIRONMENT, 2020, 242
[10]   Accuracy of vegetation height and terrain elevation derived from ICESat/GLAS in forested areas [J].
Enssle, F. ;
Heinzel, J. ;
Koch, B. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2014, 31 :37-44