Microwave scattering from mixed-species forests, Queensland, Australia

Abstract

Lucas, Richard, Moghaddam, M., Cronin, N., (2004) 'Microwave scattering from mixed-species forests, Queensland, Australia', IEEE Transactions on Geoscience and Remote Sensing 42(10) pp.2142-2159 RAE2008The potential of synthetic aperture radar (SAR) data for retrieving the above-ground and component (e.g., branch, trunk) biomass of mixed-species forests (including woodlands) typical to subtropical Queensland, Australia, was evaluated using a wave scattering model based on that of Durden et al. (1989). The model was parameterized using field data collected for nine forest types, which were selected through combined analysis of 1 : 4000 aerial photographs and light detection and ranging data. The simulated SAR backscatter data demonstrated a good correspondence at most frequencies and polarizations with Airborne SAR data. Analysis of scattering mechanisms revealed dominance of C-band horizontal-vertical (HV) volume scattering and increases with small-branch/foliage biomass, dominance of L- and P-band HH trunk-ground scattering and increases with trunk biomass, and dominance of L-band HV volume (branch) scattering and increases with large-branch biomass. The study concluded that above-ground biomass estimated using empirical relationships with selected SAR channels will be more reliable for forests of similar structural form due to dominance of microwave interaction with particular biomass components and the strength and consistency of relationships between these and the affiliated components that represent the total. In mixed-species forests, retrieval will be compromised by interaction with a greater diversity of structures and variability in relationships between structural components. Although empirical relationships with selected combinations of channels (e.g., L-band HH/HV) might allow retrieval of component and total biomass of forests containing trees of similar form (e.g., as mapped using Landsat sensor data), the use of SAR inversion models was considered a more appropriate route for retrieving the biomass of forests containing a mix of structural forms.Peer reviewe

Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations

“…Overall, modeling results agree in that with increasing radar wavelength, the scattering from larger tree constituents gains importance; nonetheless, the modeled backscatter signal was hardly dominated by a single scatterer type/backscatter contribution consistently in all of the studies surveyed [64,[68][69][70][71]. As a result, scattering theory suggested that:…”

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“…These models do not explain a system, but provide a relationship between variables derived from a base table. Lucas et al, 2004, showed that they were suitable to estimate structural variables using the C, L and P bands. In this study, an empirical model has proved satisfactory for Eucalyptus groves.…”

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