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

被引:11
作者
Meloche, J. [1 ,2 ]
Royer, A. [1 ,2 ]
Langlois, A. [1 ,2 ]
Rutter, N. [3 ]
Sasseville, V. [1 ,2 ]
机构
[1] Univ Sherbrooke, Dept Geomat Appliquee, Sherbrooke, PQ, Canada
[2] Ctr Etud Nord, Quebec City, PQ, Canada
[3] Northumbria Univ, Dept Geog & Environm Sci, Newcastle Upon Tyne, Tyne & Wear, England
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
Surface roughness; microwave remote sensing; frozen Arctic soil; SfM photogrammetry; SURFACE-ROUGHNESS; MOISTURE RETRIEVAL; TEMPERATURE; TEXTURE; IMAGERY; MODEL; TOOL;
D O I
10.1080/17538947.2020.1836049
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
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 Wegmuller and Matzler [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 (epsilon), 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.
引用
收藏
页码:1380 / 1396
页数:17
相关论文
共 54 条
  • [21] In-situ passive microwave emission model parameterization of sub-arctic frozen organic soils
    Montpetit, B.
    Royer, A.
    Roy, A.
    Langlois, A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 205 : 112 - 118
  • [22] Evaluation of multi-frequency bare soil microwave reflectivity models
    Montpetit, B.
    Royer, A.
    Wigneron, J. -P.
    Chanzy, A.
    Mialon, A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2015, 162 : 186 - 195
  • [23] The effect of roughness in simultaneously retrieval of land surface parameters
    Moradizadeh, Mina
    Saradjian, Mohammad R.
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2016, 94 : 127 - 135
  • [24] Murtiyoso A., 2017, ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci, V4, P163, DOI [DOI 10.5194/ISPRS-ANNALSIV-2-W2-163-2017, 10.5194/isprs-annals-IV-2-W2-163-2017, DOI 10.5194/ISPRS-ANNALS-IV-2-W2-163-2017]
  • [25] Soil moisture retrieval from AMSR-E
    Njoku, EG
    Jackson, TJ
    Lakshmi, V
    Chan, TK
    Nghiem, SV
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02): : 215 - 229
  • [26] Mapping snow depth from manned aircraft on landscape scales at centimeter resolution using structure-from-motion photogrammetry
    Nolan, M.
    Larsen, C.
    Sturm, M.
    [J]. CRYOSPHERE, 2015, 9 (04) : 1445 - 1463
  • [27] Picard G., 2013, GEOSCI MODEL DEV, V6, P1061, DOI [10.5194/gmd-6-1061-2013, DOI 10.5194/gmd-6-1061-2013]
  • [28] SMRT: an active-passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0)
    Picard, Ghislain
    Sandells, Melody
    Loewe, Henning
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2018, 11 (07) : 2763 - 2788
  • [29] High Resolution Mapping of Tundra Ecosystems on Victoria Island, Nunavut - Application of a Standardized Terrestrial Ecosystem Classification
    Ponomarenko, Serguei
    McLennan, Donald
    Pouliot, Darren
    Wagner, Johann
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2019, 45 (05) : 551 - 571
  • [30] Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data
    Rahman, M. M.
    Moran, M. S.
    Thoma, D. P.
    Bryant, R.
    Collins, C. D. Holifield
    Jackson, T.
    Orr, B. J.
    Tischler, M.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) : 391 - 402