Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data

REMOTE SENSING OF ENVIRONMENT

卷:217

Article

Pablo, Crespo-Peremarch¹  Piotr, Tompalski²  Nicholas C, Coops²  Angel, Ruiz Luis¹ 

[1] Univ Politecn Valencia, Geoenvironm Cartog & Remote Sensing Grp CGAT, Dept Cartog Engn Geodesy & Photogrammetry, Cami de Vera S-N, E-46022 Valencia, Spain

[2] Univ British Columbia, IRSS, Dept Forest Resources Management, Forest Sci Ctr, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada

关键词: Lidar;    Airborne laser scanning;    Full-waveform;    Terrestrial laser scanning;    Understory;    Characterization;    Mediterranean forest;   

DOI  :  10.1016/j.rse.2018.08.033

来源: Elsevier

【 摘 要 】

The use of laser scanning acquired from the air, or ground, holds great potential for the assessment of forest structural attributes, beyond conventional forest inventory. The use of full-waveform airborne laser scanning (ALS(FW)) data allows for the extraction of detailed information in different vertical strata compared to discrete ALS (ALS(D)). Terrestrial laser scanning (TLS) can register lower vertical strata, such as understory vegetation, without issues of canopy occlusion, however is limited in its acquisition over large areas. In this study we examine the ability of ALS(FW) to characterize understory vegetation (i.e. maximum and mean height, cover, and volume), verified using TLS point clouds in a Mediterranean forest in Eastern Spain. We developed nine full-waveform metrics to characterize understory vegetation attributes at two different scales (3.75 m square subplots and circular plots with a radius of 15 m); with, and without, application of a height filter to the data. Four understory vegetation attributes were estimated at plot level with high R-2 values (mean height: R-2 = 0.957, maximum height: R-2 = 0.771, cover: R-2 = 0.871, and volume: R-2 = 0.951). The proportion of explained variance was slightly lower at 3.75 m side cells (mean height: R-2 = 0.633, maximum height: R-2 = 0.470, cover: R-2 = 0.581, and volume R-2 = 0.651). These results indicate that Mediterranean understory vegetation can be estimated and accurately mapped over large areas with ALS(FW). The future use of these types of predictions includes the estimation of ladder fuels, which drive key fire behavior in these ecosystems.

【 授权许可】

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