Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem

被引：3

作者：

Geremew, Tenaw ^{[1
]}

Gonsamo, Alemu ^{[2
]}

Zewdie, Worku ^{[1
]}

Pellikka, Petri ^{[3
,4
]}

机构：

[1] Entoto Observ & Res Ctr, Earth Observat Res Div, Addis Ababa, Ethiopia

[2] McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON, Canada

[3] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland

[4] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China

来源：

AFRICAN GEOGRAPHICAL REVIEW | 2024年 / 43卷 / 03期

关键词：

GEDI; extrapolation; canopy height; LiDAR; remote sensing; Ethiopia; REGRESSION; SELECTION; PLANTATIONS; PERFORMANCE; SOILS;

D O I：

10.1080/19376812.2023.2164865

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

Global Ecosystem Dynamics Investigation (GEDI); a full waveform lidar sensor, acquires samples of the terrain and vegetation structures. To derive a spatially continuous estimate, the canopy height and cover metrics retrieved from GEDI L2A and L2B, respectively, were extrapolated using support vector regression models and explanatory variables derived from multiple remotely sensed datasets. Explanatory variables extrapolated GEDI canopy height with RMSE = 3.83 m (R2 = 0.84) as the performance was validated using a subset of GEDI data. However, the accuracy decreased to RMSE = 7.98 m (R2 = 0.65) as validated with field-measured canopy heights. The accuracy of the prediction of forest canopy covers retrieved from GEDI L2B generally remains poor; RMSE = 0.14 (R2 = 0.53).

引用

页码：467 / 483

页数：17

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