NDLI: Inversion of a lidar waveform model for forest biophysical parameter estimation

Content Provider	IEEE Xplore Digital Library
Author	Koetz, B. Morsdorf, F. Sun, G. Ranson, K.J. Itten, K. Allgower, B.
Copyright Year	2004
Abstract	Due to its measurement principle, light detection and ranging (lidar) is particularly suited to estimate the horizontal as well as vertical distribution of forest structure. Quantification and characterization of forest structure is important for the understanding of the forest ecosystem functioning and, moreover, will help to assess carbon sequestration within forests. The relationship between the signal recorded by a lidar system and the canopy structure of a forest can be accurately characterized by physically based radiative transfer models (RTMs). A three-dimensional RTM is capable of representing the complex forest canopy structure as well as the involved physical processes of the lidar pulse interactions with the vegetation. Consequently, the inversion of such an RTM presents a novel concept to retrieve biophysical forest parameters that exploits the full lidar signal and underlying physical processes. A synthetic dataset and data acquired in the Swiss National Park (SNP) successfully demonstrated the feasibility and the potential of RTM inversion to retrieve forest structure from large-footprint lidar waveform data. The SNP lidar data consist of waveforms generated from the aggregation of small-footprint lidar returns. Derived forest biophysical parameters, such as fractional cover, leaf area index, maximum tree height, and the vertical crown extension, were able to describe the horizontal and vertical forest canopy structure.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	49
Ending Page	53
Page Count	5
File Size	307923
File Format	PDF
ISSN	1545598X
Volume Number	3
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Parameter estimation Vegetation mapping Ecosystems Information retrieval Remote sensing Sun Light scattering Biomass Pulse measurements tree height Biophysical parameters fcover inversion leaf area index (LAI) light detection and ranging (lidar) waveform three-dimensional (3-D) model
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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