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Ice cloud imager instrument for MetOp Second Generation MetOp第二代冰云成像仪
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878946
V. Kangas, S. D'addio, U. Klein, M. Loiselet, G. Mason, J. Orlhac, R. González, M. Bergadà, M. Brandt, B. Thomas
{"title":"Ice cloud imager instrument for MetOp Second Generation","authors":"V. Kangas, S. D'addio, U. Klein, M. Loiselet, G. Mason, J. Orlhac, R. González, M. Bergadà, M. Brandt, B. Thomas","doi":"10.1109/MICRORAD.2014.6878946","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878946","url":null,"abstract":"Ice Cloud Imager (ICI) is a microwave/ sub-millimetre wave radiometer that is being developed for MetOp Second Generation Programme. ICI will provide unique frequency range that has never been measured from space using nadir looking instrument.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
A novel reconstruction algorithm for the improvement of SMOS brightness temperatures 一种改善SMOS亮度温度的重建算法
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878922
V. González-Gambau, A. Turiel, J. Martínez, E. Olmedo, I. Corbella
{"title":"A novel reconstruction algorithm for the improvement of SMOS brightness temperatures","authors":"V. González-Gambau, A. Turiel, J. Martínez, E. Olmedo, I. Corbella","doi":"10.1109/MICRORAD.2014.6878922","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878922","url":null,"abstract":"RFI (Radio Frequency Interference) sources, Sun signal and even land-sea transitions may generate large sidelobes that corrupt SMOS brightness temperature products and therefore, the quality of the soil moisture and sea surface salinity retrievals. This work focuses on the reduction of this Gibbs-like contamination in brightness temperature scenes using an alternative image reconstruction approach. This technique is based on sampling the signal at the nodal points, that is, at those points at which the oscillating interference causes the minimum distortion to the geophysical signal. The method has been successfully tested using ocean views significantly reducing general ripples and sidelobes in the contaminated brightness temperature images. In addition, it reduces the standard deviation of the difference between the SMOS measurements and the theoretical model by 1K, which is crucial to improve the quality of the sea surface salinity retrievals.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133735760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Image synthesis for the GeoSTAR array GeoSTAR阵列的图像合成
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878934
A. Tanner, T. Gaier, P. Kangaslahti, B. Lambrigtsen, I. Ramos
{"title":"Image synthesis for the GeoSTAR array","authors":"A. Tanner, T. Gaier, P. Kangaslahti, B. Lambrigtsen, I. Ramos","doi":"10.1109/MICRORAD.2014.6878934","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878934","url":null,"abstract":"A new approach to the GeoSTAR image inversion is presented below which solves several practical problems which are encountered with large interferometer arrays. The approach is a variation of the G-matrix solution that uses the measured spatial response of the array-e.g. as measured on the antenna range-as the basis for image synthesis. But rather than attempting inversions of the entire array-a process very sensitive to errors-a new approach is presented which corrects the visibility responses of the array piecewise. The technique starts by assuming that the response of a given visibility sample in a STAR array will deviate from that of an idealized model in a manner that can be characterized by just a few low-order spatial harmonics. This presumes that imperfections of the antenna elemental radiation patterns and of the interferometric fringe frequencies are dominated by errors which are largely contained within the physical area of the elemental antenna apertures and of their immediate surroundings-due to mechanical tolerances, mutual coupling, scattering, etc.. As such, it should be possible to correct anomalies in the measured response of a given visibility sample by combining it with its nearest neighbors on the U-V plane.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117179908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intercalibration of the Advanced Microwave Scanning Radiometer-2 (AMSR2) level-1B dataset 高级微波扫描辐射计-2 (AMSR2) level-1B数据集的互定标
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878940
A. Okuyama, K. Imaoka
{"title":"Intercalibration of the Advanced Microwave Scanning Radiometer-2 (AMSR2) level-1B dataset","authors":"A. Okuyama, K. Imaoka","doi":"10.1109/MICRORAD.2014.6878940","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878940","url":null,"abstract":"This paper reports characteristics of the AMSR2 L1B brightness temperature (Tb) measurement through intercalibration approach among other microwave radiometers including the TRMM/TMI with help of radiative transfer models. The intercalibration results indicate that AMSR2 has calibration difference, 5K at most, compared with TMI and the relative differences of some channels depend on observed scene temperature. There is no apparent seasonal variation and no undesirable discrepancy between daytime and nighttime orbits on the AMSR2 Tbs. The cause of the calibration difference is under investigation.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116623740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
On the detection of RFI using the complex signal kurtosis in microwave radiometry 微波辐射测量中复信号峰度检测RFI的研究
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878903
D. Bradley, Joel M. Morris, T. Adalı, J. Johnson, M. Aksoy
{"title":"On the detection of RFI using the complex signal kurtosis in microwave radiometry","authors":"D. Bradley, Joel M. Morris, T. Adalı, J. Johnson, M. Aksoy","doi":"10.1109/MICRORAD.2014.6878903","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878903","url":null,"abstract":"Radio-frequency interference (RFI) is a threat to the utility of radiometric measurements by spaceborne microwave radiometers since it corrupts natural thermal emission that must be remotely sensed by the radiometer. Use of these measurements containing undetected RFI results in erroneous geophysical parameter retrievals [1]. Various test-statistics such as the kurtosis are currently used to detect RFI. These are based on measurements of non-Gaussianity of the probability density function (pdf ) of the received radiometer signal [2,3]. Though the kurtosis was shown to be the best test-statistic for detecting a wide variety of RFI signal types, to date, only the kurtosis of real-valued signals has been applied to the problem of RFI detection. This paper investigates the use of the complex signal kurtosis in full-polarimetric radiometers for RFI detection.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Estimation of TRMM microwave imager antenna temperature during Deep Space Calibration maneuvers 深空定标机动中TRMM微波成像仪天线温度的估计
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878943
S. Farrar, L. Jones
{"title":"Estimation of TRMM microwave imager antenna temperature during Deep Space Calibration maneuvers","authors":"S. Farrar, L. Jones","doi":"10.1109/MICRORAD.2014.6878943","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878943","url":null,"abstract":"In 1998, the Tropical Rainfall Measuring Mission observatory performed a set of maneuvers known as Deep Space Calibration (DSC) that allowed the TRMM Microwave Imager conically scanning antenna beam to view a known non-polarized calibration scene of 2.7 Kelvin. However, during this period the radiometric transfer function (radiometric counts-to-TA) was only valid for only a very short portion of main reflector deep space view. This paper discusses three methods of reconstructing the radiometric transfer function thereby providing a longer time series of Antenna Temperature (TA) for absolute calibration. Earth emission entering into the feed spillover region of the antenna pattern is acknowledged within this paper. The motivation of this work is for preparation of the Global Precipitation Measurement (GPM) Microwave Imager (GMI) DSC maneuvers set for May of 2014.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115245797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms 基于超分辨率算法的smos图像中rfi源的精确定位
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878902
Hyuk Park, Adriano Camps, V. González-Gambau
{"title":"Accurate geolocation of rfi sources in smos imagery based on superresolution algorithms","authors":"Hyuk Park, Adriano Camps, V. González-Gambau","doi":"10.1109/MICRORAD.2014.6878902","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878902","url":null,"abstract":"Accurate geolocation of SMOS RFI sources is very important for effectively switching-off the illegal emitter in the protected L-band. We present a novel approach for the geolocation of SMOS RFI sources, based on the Direction of Arrival (DOA) estimation techniques normally used in the sensor array. The MUSIC DOA estimation algorithm is tailored for SMOS RFI source detection. In the test results, the proposed MUSIC method shows improved performance in terms of angular/spatial resolution.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130910702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The NCAR Microwave Temperature Profiler: Data applications from recent deployments NCAR微波温度分析器:最近部署的数据应用
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878924
J. Haggerty, K. Schick, M. Mahoney, B. Lim
{"title":"The NCAR Microwave Temperature Profiler: Data applications from recent deployments","authors":"J. Haggerty, K. Schick, M. Mahoney, B. Lim","doi":"10.1109/MICRORAD.2014.6878924","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878924","url":null,"abstract":"A Microwave Temperature Profiler (MTP) was developed for research with the NSF-NCAR Gulfstream-V aircraft. MTP is a scanning microwave radiometer that measures thermal emission at spectral lines in the 50-60 GHz oxygen complex. A statistical retrieval method derives vertical temperature profiles from the measurements using radiosonde profiles in the vicinity of the aircraft as a priori information. This paper describes application of MTP data for analysis of data collected in recent field projects with varied scientific objectives.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Clock scanning microwave interferometric radiomter and its potential applications at GEO 时钟扫描微波干涉辐射计及其在地球静止轨道上的潜在应用
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878928
Cheng Zhang, Ji Wu, Hao Liu, Jingye Yan
{"title":"Clock scanning microwave interferometric radiomter and its potential applications at GEO","authors":"Cheng Zhang, Ji Wu, Hao Liu, Jingye Yan","doi":"10.1109/MICRORAD.2014.6878928","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878928","url":null,"abstract":"Applying passive microwave sensor in geostationary earth orbit (GEO) earth observations are of special interest because it has the advantages of temporally continuous and spatially large coverage compared to the low earth orbit (LEO) systems, which provide relatively narrow swaths with a revisit time of 12 hours or more. Unfortunately the required horizontal resolution leads to a rather large antenna size in GEO which is unpractical for the traditional real aperture radiometers especially in low frequency bands. A new concept of clock scanning microwave interferometric radiometer (CS-MIR) using aperture synthesis provides an opportunity to resolve this problem. This paper describes some approaches of CS-MIR, specifically on aspects of array configuration, sampling patterns and potential GEO applications.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127077023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Snow layering effects on L-band passive measurements at Dome C - Antarctica 积雪对南极C丘l波段被动测量的影响
2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2014-03-24 DOI: 10.1109/MICRORAD.2014.6878908
M. Brogioni, S. Pettinato, F. Montomoli, G. Macelloni
{"title":"Snow layering effects on L-band passive measurements at Dome C - Antarctica","authors":"M. Brogioni, S. Pettinato, F. Montomoli, G. Macelloni","doi":"10.1109/MICRORAD.2014.6878908","DOIUrl":"https://doi.org/10.1109/MICRORAD.2014.6878908","url":null,"abstract":"The analysis of microwave measurements collected by ground-based radiometers at Dome C, Antarctica, during the Domex experiments reveals that snow layering has a significant impact on the microwave emission of snow even at such low frequency. In order to better understand the relationships between the measured brightness temperature and the ice sheet parameters acquired data has been simulated by using an electromagnetic model and a Monte Carlo analysis in order to consider the natural variability of snow parameters. The e.m. model (Dense Medium Radiative Transfer theory under Quasi Cristalline Apporximation with Coherent potentials in multilayers version) was used to fit the angular trend of microwave observations collected at C- and L-band at Concordia Station. The analysis permitted to identify the variability in the snow density vertical profile as a major factor in determining the microwave signature of the snow emission. To further assess the impact of density profile, also the time-series of the sun microwave radiation reflected by the snowpack was simulated. This analysis pointed out that the coherent interference of the sun radiation among the layers can explain the particular sun signature found in Domex dataset.","PeriodicalId":309298,"journal":{"name":"2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127405316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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