气候变化领域集成服务门户(CCPortal): Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models

CCPortal

DOI	10.1016/j.rse.2020.112017
	Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models
	Webster C.; Mazzotti G.; Essery R.; Jonas T.
发表日期	2020
ISSN	00344257
卷号	249
英文摘要	Forest canopies act as intermediaries in radiation energy exchange between the atmosphere and the snow surface. The size, location and distribution of forest discontinuities are important controls on forest shortwave radiation transmission and subsequent snow surface shading and radiation energy exchange between the atmosphere and the canopy, but challenges arise when accounting for these vegetation characteristics at large spatial scales. Airborne LiDAR datasets contain detailed information about canopy structure across large spatial scales which can be exploited within 2D transmission models. However, airborne LiDAR data typically does not resolve lower canopy elements, leading to unrealistic depictions of individual trees. We present a methodology to enhance airborne LiDAR data by calculating additional trunk and branch points based on segmentation of a canopy height model, allowing more accurate estimates of canopy shortwave transmissivity. To demonstrate this, we deployed a computationally efficient 2D radiation transfer modelling framework that calculates direct and diffuse radiation from a set of distributed synthetic hemispherical images. The model can predict incoming direct and diffuse solar radiation at the snow surface at high spatial (meter-scale) and temporal (minute-scale) resolutions. Comparison between synthetic and real hemispherical photographs showed that synthetic images, if based on enhanced LiDAR data, featured canopy and individual tree crowns that were much denser than the original LiDAR portrays, improving the representation of vegetation structure especially within dense environments and along canopy edges. Corresponding modelled total shortwave radiation matched well with spatially gridded measurements from a moving pyranometer at two sites, where model RMSE was reduced to 59 and 29 W m−2 from 181 and 138 W m−2, respectively, compared to the same transmission model with the original LiDAR data. Maps of snow surface shading patterns corresponded well to those seen in aerial photographs, showing the enhanced LiDAR data can be used to solve complex spatiotemporal patterns of sub-canopy incoming radiation. This work demonstrates that canopy structure information from the lower canopy is an important aspect for accurate radiation transfer modelling, and methods presented here can successfully mitigate problems inherent in many airborne LiDAR datasets to improve spatially distributed estimates of sub-canopy shortwave radiation. © 2020 Elsevier Inc.
英文关键词	Airborne LiDAR; Canopy segmentation; Forest canopy; Hemispherical photography; Irradiance; LiDAR enhancement; Radiative transfer; Ray tracing; Shortwave radiation modelling; Synthetic hemispherical images; Vegetation shading
语种	英语
scopus关键词	Antennas; Forestry; Large dataset; Optical radar; Photography; Radiation; Snow; Transmissions; Vegetation; Canopy Height Models; Computationally efficient; Diffuse solar radiations; Direct and diffuse radiations; Hemispherical photographs; Individual tree crown; Spatiotemporal patterns; Vegetation structure; Image enhancement; airborne survey; data set; forest canopy; lidar; numerical model; radiative transfer; satellite data; shortwave radiation; spatial distribution; spatiotemporal analysis; stand structure; two-dimensional modeling
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179163
作者单位	WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, CH-7260, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland; School of Geosciences, University of Edinburgh, Edinburgh, United Kingdom; Laboratory of Hydraulics, Hydrology and Glaciology VAW, ETH Zurich, Zurich, Switzerland
推荐引用方式 GB/T 7714	Webster C.,Mazzotti G.,Essery R.,et al. Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models[J],2020,249.
APA	Webster C.,Mazzotti G.,Essery R.,&Jonas T..(2020).Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models.Remote Sensing of Environment,249.
MLA	Webster C.,et al."Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models".Remote Sensing of Environment 249(2020).