Improvement of microwave emissivity parameterization of frozen Arctic soils using roughness measurements derived from photogrammetry

Meloche, Julien, Royer, Alain, Langlois, Alexandre, Rutter, Nick and Sasseville, Vincent (2020) Improvement of microwave emissivity parameterization of frozen Arctic soils using roughness measurements derived from photogrammetry. International Journal of Digital Earth. ISSN 1753-8947 (In Press)

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Abstract

Soil emissivity of Arctic regions is a key parameter for assessing surface properties from microwave brightness temperature (Tb) measurements. Particularly in winter, frozen soil permittivity and roughness are two poorly characterized unknowns that must be considered. Here, we show that after removing snow, the 3D soil roughness can be accurately inferred from in-situphotogrammetry using Structure from Motion (SfM). We focus on using SfM techniques to provide accurate roughness measurements and improve emissivity models parametrization of frozen arctic soil for microwave applications. Validation was performed from ground-based radiometric measurements at 19 and 37 GHz using three different soil emission models: theWegmüller and Mätzler (1999) model (Weg99), the Wang and Choudhury (1981) model (QNH), and a geometrical optics model (Geo Optics). Measured and simulated brightness temperatures over different tundra and rock sites in the Canadian High Arctic show that Weg99, parametrized with SfM-based roughness and optimized permittivity (휀), yielded a RMSE of 3.1 K (푅2 = 0.71) for all frequencies and polarizations. Our SfM based approach allowed us to measure roughness with 0.1 mm accuracy at 55 locations of different land cover type using a digital camera and metal plates of know dimensions.

Item Type: Article
Uncontrolled Keywords: surface roughness, Microwave remote sensing, frozen Arctic soil, SfM photogrammetry
Subjects: F600 Geology
F700 Ocean Sciences
F800 Physical and Terrestrial Geographical and Environmental Sciences
F900 Others in Physical Sciences
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Depositing User: Rachel Branson
Date Deposited: 11 Oct 2020 11:48
Last Modified: 11 Oct 2020 12:00
URI: http://nrl.northumbria.ac.uk/id/eprint/44470

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