Multi-Temporal Speckle Filtering of Polarimetric P-Band SAR Data over Dense Tropical Forests: Study Case in French Guiana for the BIOMASS Mission

نویسندگان

چکیده

The purpose of this paper is twofold, considering first the generalization a multichannel speckle filter in order to handle temporal stacks polarimetric SLC SAR data, and secondly development an ad hoc performance indicator based on Polarimetric Orientation Angle (POA) better estimate resulting reduction than standard Equivalent Number Looks (ENL) over densely vegetated regions, like tropical forests. Being ability PolSAR measurements retrieve ground slopes through dense vegetation, requires use low frequencies such as P-band, well fully data. This study has thereby particular interest context upcoming BIOMASS spaceborne mission whose launch scheduled 2023, makes data from TropiSAR airborne campaign initiated early stage developments. Conducted several test sites forests French Guiana, gives us opportunity herein exploit P-band with repeated time intervals transposable terms signal decorrelation. application generalized Paracou site dataset reveals limitations ENL analytical formula assess case spatially correlated media forests, for correlation between POA azimuthal computed independent Digital Surface Model.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13010142