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Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data

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4 Author(s)
Franck Garestier ; Continental & Coastal Morphodynamic Lab., Univ. de Caen-Basse Normandie, Caen, France ; Pascale C. Dubois-Fernandez ; Dominique Guyon ; Thuy Le Toan

L- and P-band airborne polarimetric synthetic aperture radar (SAR) data acquired by the RAMSES system over different height maritime pine (Pinus Pinaster Ait.) stands of the Nezer forest (Landes, France) have been evaluated for forest biophysical parameter estimation. A pseudolinear correlation has been brought to evidence at P-band between polarimetric anisotropy and mean tree height, which is also linked to other biophysical parameters in the Nezer forest, meaning that SAR polarimetry constitutes a promising tool for forest parameter retrieval at low frequency. The spatial conditions have been evaluated through the quantification of the impact of signal-to-noise ratio diminution and resolution degradation on the forest height inversion. It has been shown that the inversion accuracy remains acceptable for N Esigma0, representing the noise level of the SAR image, which is lower than -15 dB, and for spatial resolution increasing up to 15 m.

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:47 ,  Issue: 10 )