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Estimation of comprehensive forest variable sets from multiparameter SAR data over a large area with diverse species

Polarimetric and multifrequency data from the NASA/JPL airborne synthetic aperture radar (AIRSAR) have been used in a multi-tier estimation algorithm to calculate a comprehensive set of forest canopy properties including branch layer moisture and thickness, trunk density, trunk water content and diameter, trunk height, and subcanapy soil moisture. The estimation algorithm takes advantage of species-specific allometric relations, and is applied to a 100Km x 100Km area in the Canadian boreal region containing many different vegetation species types. The results show very good agreement with ground measurements taken at several focused and auxiliary study sites. This paper expands on the results reported in [1] and applies the algorithm on the regional scale.

variable estimation forestry multiparameter SAR↗

Applications of SAR Measurements in Ocean-Ice Atmosphere Interaction Studies

The difficulty in observing the polar sea-ice cover and its influence on the atmospheric and oceanic boundary layer is the ephemerality of active geophysical prosesses. Identifying timescales of sea-ice formation, change and decay, is the key to successful measurement of these processes.

sea-ice formation microwave radar imaging SAR↗