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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Simultaneous Retrieval of Surface Roughness Parameters for Bare Soils From Combined Active–Passive Microwave SMAP Observations
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Simultaneous Retrieval of Surface Roughness Parameters for Bare Soils From Combined Active–Passive Microwave SMAP Observations

机译:Simultaneous Retrieval of Surface Roughness Parameters for Bare Soils From Combined Active–Passive Microwave SMAP Observations

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摘要

An active–passive microwave retrieval algorithm for simultaneous determination of soil surface roughness parameters vertical root-mean-square (RMS) height (inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" tex-math notation="LaTeX"${s}$ /tex-math/inline-formula) and horizontal correlation length (inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" tex-math notation="LaTeX"${l}$ /tex-math/inline-formula) is presented for bare soils. The algorithm is based on active–passive microwave covariation, including the improved Integral Equation Method (Isup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"2/supEM), and is tested with global soil moisture active passive (SMAP) observations. The estimated retrieval results for inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" tex-math notation="LaTeX"${s}$ /tex-math/inline-formula and inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" tex-math notation="LaTeX"${l}$ /tex-math/inline-formula are overall consistent with values in the literature, indicating the validity of the proposed algorithm. Sensitivity analyses showed that the developed roughness retrieval algorithm is independent of permittivity for inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" tex-math notation="LaTeX"${varepsilon }_{s} 10$ /tex-math/inline-formula -. Furthermore, the physical model basis of this approach (Isup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"2/supEM) allows the application of different autocorrelation functions (ACF), such as Gaussian and exponential ACFs. Global roughness retrieval results confirm bare areas in deserts such as Sahara or Gobi. However, the type of ACF used within roughness parameter estimation is important. Retrieval results for the Gaussian ACF describe a rougher surface than retrieval results for the exponential ACF. No correlations were found between roughness results and the amount of precipitation or the soil texture, which could be due to the coarse spatial resolution of the SMAP data. The extension of this approach to vegetated soils is planned as an add-on study.

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