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TDS-1 GNSS reflectometry wind geophysical model function response to GPS block types

Geo-Spatial Information Science 2022年第2期25卷 312-324页

作者： Fade Chen Xiaohong Zhang Fei Guo Jiazhu Zheng Yang Nan mohamed freeshah School of Geodesy and Geomatics Wuhan UniversityWuhanChina College of Civil Engineering Nanjing Forestry UniversityNanjingChina GNSS Research Center Wuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Surveying Engineering Department Shoubra Faculty of EngineeringBenha UniversityBenhaEgypt

This paper presents the TDS-1 GNSS reflectometry wind Geophysical Model Function(GMF)response to GPS block *** observables were extracted from Delay Doppler Maps(DDMs)after taking the receiver antenna gains effects and GNSS-R geometry effects into *** the DDM is affected by GPS EffectiveIsotropic Radiated Power(EIRP),we first investigate the sensitivity of observables to the GPS ***,the observables at high SNRs are more sensitive to wind speed,but the spatial coverage at high signal to noise ratios(SNRs)is lower,while DDMs at low SNRs have the opposite *** balance the accuracy and spatial coverage,the DDM datasets are divided into two parts:high SNR(>0 dB)and low SNR(>−10 dB and≤0 dB)to develop wind ***,the influences of GPS block on wind speed retrieval both at high and low SNR is *** show that the block types have impacts on wind GMF and the use of a prior GPS block can contribute to a better wind speed retrieval both at high and low *** with ASCAT,the Root Mean Square Error(RMSE)value of wind speed retrieval at high and low SNR are 2.19 m/s and 3.13 m/s,respectively,when all TDS data are processed without distinguishing GPS block ***,if the TDS data are separately processed and used to develop wind GMF through different blocks,both the accuracy and correlation coefficient can be improved to some ***,the influence of significant height of the swell(Hs)on SNR observables is analyzed,and it is demonstrated that there is no obvious linear or nonlinear relationship between them.

关键词： Global Navigation Satellite System-Reflectometry(GNSS-R) Delay-Doppler Map(DDM) wind speed Geophysical Model Function(GMF) TechDemoSat-1(TDS-1) GPS block

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Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone

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International Journal of Digital Earth 2023年第1期16卷 3105-3124页

作者： Pingheng Li Aqil Tariq Qingting Li Bushra Ghaffar Muhammad Farhan Ahsan Jamil Walid Soufan Ayman El Sabagh mohamed freeshah Business School Huanggang Normal UniversityHuanggangPeople’s Republic of China Department of Wildlife Fisheries and AquacultureMississippi State UniversityMississippi StateMSUSA State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Airborne Remote Sensing Center Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China Department of Environmental Science Faculty of SciencesInternational Islamic UniversityIslamabadPakistan School of Earth Sciences and Engineering Hohai UniversityNanjingPeople’s Republic of China Department of Plant and Environmental Sciences New Mexico State UniversityLas CrucesNMUSA Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikhEgypt Geomatics Engineering Department Benha UniversityBanh1Egypt School of Geodesy and Geomatics Wuhan UniversityWuhanPeople’s Republic of China

In this research,we used the Revised Universal Soil Loss Equation(RUSLE)and Geographical Information System(GIS)to predict the annual rate of soil loss in the District Chakwal of *** parameters of the RUSLE model were estimated using remote sensing data,and the erosion probability zones were determined using *** estimated length slope(LS),crop management(C),rainfall erosivity(R),soil erodibility(K),and support practice(P)range from 0-68,227,0-66.61%,0-0.58,495.99-648.68 MJ/***^(-1).year^(-1),0.15-0.25 MJ/***^(-1).year^(-1),and 1 *** results indicate that the estimated total annual potential soi loss of approximately 4,67,064.25 ***^(-1).year^(-1) is comparable with the measured'sediment ioss of 11,631 ***^(-1).year^(-1) during the water year *** predicted soil erosion rate due to an increase in agricultural area is approximately 164,249.31 ***^(-1).year^(-1).In this study,we also used,Landsat imagery to rapidly achieve actual land use ***,38.i3%of the region was threatened by very high soil erosion,where the quantity of soil erosion ranged from 365487.35 ***^(-1).year^(-1),Integrating GIS and remote sensing with the RUSLE model helped researchers achieve their final ***-use planners and decision-makers use the result's spatial distribution of soil erosion in District Chakwal for conservation and management planning.

关键词： RUSLE Landsat land management DEM soil erosion

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