Abstract
Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to morphology of agricultural crops as dimensionality of the stalks, leaves and panicles through their electromagnetic scattering characteristics. Thus, models based on the radiative transfer of a polarized electromagnetic wave can be used to model the backscattering response of an agricultural canopy. In this study, a metamodel-based probabilistic inversion algorithm is presented to invert the morphology based scattering model for the crop height estimation. The accuracy analysis are conducted with respect to ground measured height of rice canopies for polarimetric TerraSAR-X and RADARSAT-2 data.
| Original language | English |
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| Article number | 7559237 |
| Journal | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR |
| Publication status | Published - 2016 |
| Event | 11th European Conference on Synthetic Aperture Radar, EUSAR 2016 - Hamburg, Germany Duration: 6 Jun 2016 → 9 Jun 2016 |
Bibliographical note
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