- Related Research Areas
- Carbon Cycle & Ecosystems
PROBLEM: One of the most fundamental new technical challenges of a DESDynI spaceborne mission is the fusion of the several sensor modalities - LiDAR, SAR, InSAR - in order to accurately estimate desired Vegetation 3D and biomass parameters at their point of intersection and to extrapolate them over continuous areas. While testing and validation of fusion algorithms using empirical data from field sites is a necessary component of a DESDynI mission, the development of robust simulation models for these active sensors is not only possible, it is also required given the logical limits to the number of field sites that can be available in space and time that could account for the great range of variability that will affect sensor signals. Simulation models allow for testing of sensor parameters, ancillary data, and effects of environmental variables and to learn about and improve global retrievals and products. GOAL: Our goal is to develop and validate physical-based methods and simulation models for retrieving vegetation 3D structure and biomass, and to run them to analyze sensor fusion-extrapolation sensitivity to spatial-temporal variation over much greater range of conditions than is possible with field data. OBJECTIVES: 1) We will develop and validate simulation models for three sensors at our tier one site; 2) We will develop and validate fusion and extrapolation methods at our tier one site; 3) We will test robustness of models and methods in several tier two sites in different forest ecosystem types and further test sensitivity to environmental variability over all sites to simulate DESDynI-type missions.
Project PI: Kamal Sarabandi/The University of Michigan
Department of Electrical Engineering and Computer Science University of Michigan 1301 Beal Avenue Ann Arbor, MI 48109-2122
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