Estimating vegetation optical depth using L-band  passive microwave airborne data in HiWATER

Qi Wang; Linna Chai

doi:10.1117/12.2068726

8 November 2014 Estimating vegetation optical depth using L-band passive microwave airborne data in HiWATER

Qi Wang, Linna Chai

Proceedings Volume 9260, Land Surface Remote Sensing II; 92602X (2014) https://doi.org/10.1117/12.2068726
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

In this study, a relationship between polarization differences of soil emissivity at different incidence angles was constructed from a large quantity of simulated soil emissivity based on the Advanced Integrated Emission Model (AIEM) input parameters include: a frequency of 1.4 GHz (L-band), incident angles varying from 1°to 60° at a 1° interval, a wide range of soil moisture content and land surface roughness parameters. Then, we used this relationship and the ω-τ zero-order radiation transfer model to develop an inversion method of low vegetation optical depth at L-band, this work were under the assumption that there was no significant polarization difference between the vegetation signals. Based on this inversion method of low vegetation optical depth, we used the land surface passive microwave brightness temperature of Heihe Watershed obtained by airborne Polarimetric L-band Multibeam Radiometer (PLMR) in 2012 Heihe Watershed Allied Telemetry Experimental Research (HiWATER) to retrieve the corn optical depth in the flight areas, then the results were compared with the measured corn LAI. Results show that the retrieved corn optical depths were consisted with the measured LAI of corn. It proved that the corn optical depth inversion method proposed in this study was feasible. Moreover, the method was promising to apply to the satellite observations.

Citation Download Citation

Qi Wang and Linna Chai "Estimating vegetation optical depth using L-band passive microwave airborne data in HiWATER", Proc. SPIE 9260, Land Surface Remote Sensing II, 92602X (8 November 2014); https://doi.org/10.1117/12.2068726

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