Title :
Microwave scattering from mixed-species forests, Queensland, Australia
Author :
Lucas, Richard M. ; Moghaddam, Mahta ; Cronin, Natasha
Author_Institution :
Inst. of Geogr. & Earth Sci., Univ. of Wales Aberystwyth, UK
Abstract :
The 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.
Keywords :
airborne radar; backscatter; forestry; optical radar; remote sensing by radar; synthetic aperture radar; vegetation mapping; Australia; C-band horizontal-vertical volume scattering; L-band HH trunk-ground scattering; LIDAR data; Landsat sensor data; P-band HH trunk-ground scattering; SAR channels; SAR inversion models; above-ground biomass retrieval; aerial photographs; airborne SAR data; biomass components; branch biomass; branch scattering; foliage biomass; light detection and ranging; microwave interaction; microwave scattering; mixed-species forests; polarizations; scattering mechanisms; simulated SAR backscatter data; small-branch biomass; structural components; structure diversity; subtropical Queensland; synthetic aperture radar; trunk biomass; wave scattering model; woodlands; Australia; Backscatter; Biomass; Frequency; Information retrieval; L-band; Light scattering; Optical polarization; Radar scattering; Synthetic aperture radar; Forestry; radar; scattering; simulation;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2004.834633