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Carbon Cycle & Ecosystems

The performance of the ICESat-II system for remote sensing of vegetation structure will depend on aspects of the sensor design that have yet to be fully defined. Sensor parameters such as footprint size, pulse length and track spacing will have a profound effect on the utility of individual observations and the mission's ability to meet its terrestrial vegetation goals. Our understanding of the trade-spaces for these parameters, both for vegetation considered alone and when considering all the disciplines involved in the ICESat-II mission, is still in an early stage of development. We have developed considerable resources to address this class of problem, including field and airborne data coincident with GLAS waveforms in all major forest biomes. We have experience synthesizing waveforms from existing airborne lidar data and from field collected or modeled forest inventory data, which allows us to model and verify the sensitivity of individual lidar observations to environmental effects (e.g. terrain slope). We are currently developing a model that relates the sampling pattern of spaceborne lidar systems and the accuracy of the lidar measurement itself to the spatial characteristics of the landscape to estimate the confidence in estimates of biomass at any spatial scale. These tools will provide a quantitative basis for determining optimal measurement parameters for the mission, as constrained by the overall goals of the mission.

Project PI: Michael Lefsky/Colorado State

Colorado State Univeristy Department of Forest, Rangeland, and Watershed Stewardship Forestry Building Fort Collins, Colorado 80523

Phone: (970) 491-0602

Fax: (970) 491- 675

Email: lefsky@cnr.colostate.edu

http://warnercnr.colostate.edu/~lefsky/background.html

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Started: Aug 10, 2010

Last Activity: Dec 15, 2010

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