Improvement of microwave emissivity parameterization of frozen Arctic soils using roughness measurements derived from photogrammetry. Issue 10 (3rd October 2021)

• Record Type: Journal Article
• Authors: Meloche, J.; Royer, A.; Langlois, A.; Rutter, N.; Sasseville, V.
• Is Part Of: International journal of digital earth. Volume 14:Issue 10(2021)
• Page Start: 1380
• Page End: 1396
• Publication Date: 2021-10-03
• Subjects: Surface roughness -- microwave remote sensing -- frozen Arctic soil -- SfM photogrammetry; Geographic information systems -- Periodicals; Sustainable development -- Information technology -- Periodicals; Social planning -- Information technology -- Periodicals; 910.285
• DOI: 10.1080/17538947.2020.1836049
• Languages: English
• ISSNs: 1753-8947

Abstract

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-situ photogrammetry 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: the Wegmüller and Mätzler [1999, TGRS] model (Weg99), the Wang and Choudhury [1981, JGR] 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 ( ε ), yielded an RMSE of 3.1 K ( R 2 = 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.