Paper
26 September 2007 Modeling spaceborne lidar returns from vegetation canopies
Author Affiliations +
Abstract
Structural and biophysical parameters of vegetation canopies, such as tree heights, biomass, vertical and horizontal heterogeneity are important factors affecting flows of energy, water, carbon and trace gases through terrestrial systems. Knowing such parameters is required to model processes associated with photosynthesis, energy transfer, and evapotranspiration at local and global scales. Monitoring vegetation canopies has long been one of the main tasks of several proposed and launched space missions. Lidar instruments have demonstrated the best potential to provide estimates of vegetation height, cover, and canopy vertical structural profiles. A spaceborne lidar would deliver such data on global scale producing the total land biomass value with the accuracy demanded by carbon-cycle and global-change modelers. This paper presents the preliminary results of a numerical model simulating signal returns of a spaceborne lidar for the assessment of land-vegetation canopy biomass. It is a part of work with the overall purpose to develop a trade-off analysis tool for a spaceborne lidar system as a payload of a land-vegetation observation space mission. An end-to-end propagation of a spaceborne lidar sensing pulse through vegetation canopies is considered by the model. It consists of the modules characterizing the laser and the receiver optical systems, satellite's orbit, atmosphere, vegetation canopies, optical filtering, and detectors. This tool can be used to evaluate the effects of instrument configurations on the retrieval of vegetation structures, and to carry out trade-off studies in the instrument design.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Hu, I. Tcherniavski, A. Dudelzak, and A. Koujelev "Modeling spaceborne lidar returns from vegetation canopies", Proc. SPIE 6681, Lidar Remote Sensing for Environmental Monitoring VIII, 66810G (26 September 2007); https://doi.org/10.1117/12.734359
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KEYWORDS
LIDAR

Vegetation

3D modeling

Solar radiation models

Instrument modeling

Transmittance

Atmospheric propagation

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