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An investigation on microwave transmissivity at frequencies of 18.7 and 36.5 GHz for diverse forest types during snow season

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International Journal of Digital Earth 2021年第10期14卷 1354-1379页

作者： Wang Guangrui Li Xiaofeng Chen Xiuxue Jiang Tao Zheng Xingming Wei Yanlin Wan Xiangkun Wang Jian Northeast Institute of Geography and Agroecology Chinese Academy of SciencesChangchunPeople’s Republic of China College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China Changchun Jingyuetan Remote Sensing Experiment Station Chinese Academy of SciencesChangchunPeople’s Republic of China School of Statistics Dongbei University of Finance and EconomicsDalianPeople’s Republic of China

Forests have invariably been considered as an obstacle in retrieving land surface parameters from spaceborne passive microwave brightness temperature(T_(B))*** quantifying the effect of forests on microwave signals,several models have been ***,these models rarely reveal the dependence of microwave radiation on forest types,which can hardly meet the needs of high-accuracy retrieval of terrestrial parameters in forested regions.A ground-based microwave radiometric observation experiment was designed to investigate the dependence of microwave radiation on frequency,polarization,and forest *** TB at 18.7-and 36.5-GHz for horizontal-and vertical-polarization from the forest canopy was measured at 14 sample plots in Northeast China,along with snowpack and forest structural *** providing fits to experimental data,new empirical transmissivity models for three forest types were developed,as a function of woody stem volume and depending on the frequency/*** proposed models give diverse asymptotic transmissivity saturation levels and the corresponding saturation point of woody stem volume for different forest ***-mean-square error results between T_(B) simulations and Advanced microwave Scanning Radiometer-2 observations are approximately 3-6 *** study provides an experimental and theoretical reference for further development of inversion models for snow parameters in forested areas.

关键词： Forest transmissivity snow woody stem volume microwave radiometry HUT

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Evaluation of stereology for snow microstructure measurement and microwave emission modeling:a case study

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International Journal of Digital Earth 2021年第10期14卷 1316-1336页

作者： Jinmei Pan M.T.Durand Z.Courville B.J.Vander Jagt N.P.Molotch S.A.Margulis E.J.Kim M.Schneebeli C.Mätzler State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China School of Earth Science and Byrd Polar Research Center The Ohio State UniversityColumbusOHUSA US Army Corps of Engineers Cold Regions Research and Engineering Laboratory HanoverNHUSA Geography Department and Institute of Arctic and Alpine Research University of ColoradoBoulderCOUSA Department of Civil and Environmental Engineering University of CaliforniaLos AngelesCAUSA Hydrospheric and Biospheric Sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMDUSA WSL Institute for Snow and Avalanche Research SLF Davos DorfSwitzerland Institute of Applied Physics and Oeschger Centre for Climate Change Research University of BernBernSwitzerland

Reliablemicrostructuremeasurement of snow is a requirement for microwave radiative transfer model *** specific surface area(SSA)can be measured using stereological methods,in which snow samples are cast in the field and photographed in the *** stereology photographs manually by counting intersections of test cycloids with air-ice boundaries reduces the problems in binary *** paper is a case study to evaluate the repeatability of the manually stereology interpretation by two independent research *** further assessed how uncertainty in snow SSA influences simulated brightness temperature(TB)driven by the microwave Emission Model of Layered Snowpacks(MEMLS),and how stereology compares to Near Infrared(NIR)camera and hand *** was obtained from two alpine snow profiles from Steamboat Springs,*** showed that stereological SSA values measured by two groups are highly consistent,and the ground radiometer measured T_(B)at 19 and 37 GHz was successfully predicted(RMSE<3.8 K);simulations using NIR SSA and hand-lens geometric grain size(Dg)measurements have larger *** conclusion was not sensitive to uncertainty in the free parameters of TB modeling.

关键词： microwave radiometry snow stereology snow microstructure MEMLS

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MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B microwave IMAGER

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Journal of Tropical Meteorology 2015年第1期21卷 84-91页

作者：安大伟陆风窦芳丽张鹏 National Satellite Meteorological Center China Meteorological Administration

The purpose of this study is to select a suitable sea wind retrieval method for FY-3B(MWRI). Based on the traditional empirical model of retrieving sea surface wind speed, and in the case of small sample size of FY-3B satellite load regression analysis, this paper analyzes the channel differences between the FY-3B satellite microwave radiation imager(MWRI) and TMI onboard the TRMM. The paper also analyzes the influence of these differences on the channel in terms of receiving temperature, including channel frequency, sensitivity and scaling precision. Then, the limited range of new model coefficient regression analysis is determined(in which the channel range settings include the information and features of channel differences), the regression methods of the finite field are proposed, and the empirical model of wind speed retrieval applicable to MWRI is obtained, which achieves robust results. Compared to the TAO buoy data, the mean deviation of the new model is 0.4 m/s, and the standard deviation is 1.2 m/s. In addition,the schematic diagram of the tropical sea surface wind speed retrieval is provided.

关键词： microwave radiometry tropical sea surface wind MWRI FY-3B

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