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Simulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland

hal.structure.identifierNanjing University of Information Science and Technology [NUIST]
dc.contributor.authorBAI, Xiaojing
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorZHENG, Donghai
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorLI, Xin
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierUniversity of Twente
dc.contributor.authorVAN DER VELDE, Rogier
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
hal.structure.identifierUniversity of Twente
dc.contributor.authorZHANG, Pei
hal.structure.identifierUniversity of Twente
dc.contributor.authorSU, Zhongbo
dc.date.accessioned2024-04-08T11:43:43Z
dc.date.available2024-04-08T11:43:43Z
dc.date.issued2023-07
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195119
dc.description.abstractEnPassive microwave observation at multiple frequencies has received increasing research interests due to its capability to provide comprehensive information of land surface properties. This paper contributes to the simulation of land surface emission and estimation of vegetation optical depth (VOD) at multiple frequencies using a discrete scattering model with a single set of model parameter values. Validity of the Tor Vergata (TVG) discrete scattering model in simultaneously reproducing the Soil Moisture Active Passive (SMAP) L-band (1.4 GHz) and Advanced Microwave Scanning Radiometer 2 (AMSR2) C-(6.925 GHz) and X-band (10.7 GHz) ob-servations over the Tibetan grassland ecosystem is evaluated. Frequency-specific and multi-frequency calibration strategies are implemented to find the suitable set of model parameter values and to isolate the impact of fre-quency on parameter values. On this basis, the calibrated TVG model is further used to estimate the VOD, and to investigate the impact of microwave frequency and observation angle on the emission simulations and VOD parameterization.The results show that both frequency-specific and multi-frequency calibration strategies achieve comparable and reasonable simulations of SMAP and AMSR2 observations, confirming the feasibility of using an identical physically-based model (i.e. the calibrated TVG model) to simulate multi-frequency land emission driven by a single set of model parameter values. As such, the dependence of emission components and VOD on frequency can be elaborated after isolating the impact of frequency on parameter values. The VOD values derived from the TVG simulations generally increase with increasing frequency and can be linearly correlated to the LAI varia-tions, while current satellite-based retrievals have almost the same magnitude at the L-, C-, and X-band. The explanation for this can be that the retrieved VOD is different from the theoretical definition. Sensitivity test performed using the calibrated TVG model further shows that polarization-dependence of VOD becomes more apparent with the increasing observation angle and frequency. New parameterization has thus been developed to characterize the dependence of VOD on the frequency, observation angle, and polarization for grassland based on the results of sensitivity test. This study may provide new insights in improving model of land emission and retrievals of SM and VOD with physical interpretability based on multi-frequency satellite observations.
dc.language.isoen
dc.publisherElsevier
dc.subject.enMulti-frequency
dc.subject.endiscrete scattering model
dc.subject.enVOD
dc.subject.enSMAP
dc.subject.enAMSR2
dc.subject.enCIMR
dc.title.enSimulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2023.113592
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.page113592
bordeaux.volume292
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04120206
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04120206v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2023-07&rft.volume=292&rft.spage=113592&rft.epage=113592&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=BAI,%20Xiaojing&ZHENG,%20Donghai&LI,%20Xin&J.-P.,%20Wigneron&VAN%20DER%20VELDE,%20Rogier&rft.genre=article


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