Art and Design / art / Volume 3 / Issue 2 / DOI: 10.61369/art.5113
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玛曲地区介电常数敏感性探究

高岩 曹*
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1 商丘工学院 土木工程学院, 商丘工学院 土木工程学院
art 2024 , 3(2), 576–578;
Published: 20 February 2024
© 2024 by the Author(s). Licensee Art and Design, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

土壤介电常数反映了电介质与电磁波相互作用的特征,是地表微波亮温模拟和土壤水分反演的一个关键因素,其受到土壤水分、土壤温度等多种因素的影响,本文利用半经验模型(Mironov、Dobson 和Wang-Schmugge土壤介电常数模型)模拟介电常数,得到土壤介电常数的实部和虚部与土壤水分和浅层土壤正相关,并且亮温模拟和土壤水分反演主要依靠介电常数的实部。

Keywords
土壤水分
浅层、深层土壤温度
介电常数
References

[1] 陈权,曾江源,李震,等.遥感监测介电常数与土壤含水率关系模型[J].农业工程学报,2012, 28(12): 171 ~ 175.
[2] Dente L, Vekerdy Z, Wen J, et al. Maqu network for validation of satellitederived soil moisture products[J].International Journal of Applied Earth Observation and Geoinformation, 2012, 17: 55 ~ 65.
[3] Su Z, Wen J, Dente L, et al. The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products[J].Hydrology and Earth System Sciences,2011, 15(7): 2303 ~ 2316.
[4] Dorigo W A, Wagner W, Hohensinn R, et al. The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements[J].Hydrology and earth system sciences, 2011, 15(5): 1675 ~ 1698.
[5] Dorigo W, Himmelbauer I, Aberer D, et al. The International Soil Moisture Network: serving Earth system science for over a decade[J].Hydrology and Earth System Sciences, 2021, 25(11): 5749 ~ 5804.
[6] Hengl T, Mendes De Jesus J, Heuvelink G B M, et al. SoilGrids250m: Global gridded soil information based on machine learning[J].PLOS ONE, 2017, 12(2):e169748.
[7] Mironov V L, Dobson M C, Kaupp V H, et al. Generalized refractive mixing dielectric model for moist soils[J].IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(4): 773 ~ 785.
[8] Mironov V L, Fomin S V. Temperature and Mineralogy Dependable Model for Microwave Dielectric Spectra of Moist Soils[J].Piers Online, 2009, 5(5):411 ~ 415.
[9] Mironov V L, Kosolapova L G, Fomin S V. Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils[J].IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(7): 2059 ~ 2070.
[10] Zhang L, Meng Q, Hu D, et al. Comparison of different soil dielectric models for microwave soil moisture retrievals[J].International Journal of Remote Sensing, 2020, 41(8): 3054 ~ 3069.
[11] Liu J, Liu Q. Soil moisture estimate uncertainties from the effect of soil texture on dielectric semiempirical models[J].Remote Sensing, 2020, 12(14): 2343.
[12] Montpetit B, Royer A, Wigneron J, et al. Evaluation of multi-frequency bare soil microwave reflectivity models[J].Remote Sensing of Environment, 2015,162: 186 ~ 195.

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