{"title":"Sentinel-1A LEOP and commissioning","authors":"R. Torres, Svein Lokas, D. Geudtner, B. Rosich","doi":"10.1109/IGARSS.2014.6946714","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946714","url":null,"abstract":"Sentinel-1A, the first component of the Copernicus Space Segment developed by the European Space Agency, has been launched 3 April 2014. The LEOP Phase is expected to last three days where all subsystems and the SAR instrument will be checked. It is immediately followed by the three-month Commissioning Phase that will include the in-orbit Calibration and Characterisation, and the verification of the satellite, in order to deliver a full functional and well performing satellite to the mission operations. This paper will present the LEOP and Commissioning activities in progress, and the status of Calibration, Characterisation and Verification activities of the Commissioning in place.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129375824","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}
M. Chabot, Camille Decoust, C. Lambert, P. Rolland, Pierre Ledantec, D. Williams
{"title":"RADARSAT-2 system operations and performance","authors":"M. Chabot, Camille Decoust, C. Lambert, P. Rolland, Pierre Ledantec, D. Williams","doi":"10.1109/IGARSS.2015.7326067","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326067","url":null,"abstract":"Now in its seventh year of flight operations, the RADARSAT-2 spaceborne Synthetic Aperture RADAR (SAR) remote sensing satellite continues to perform well and system performance targets continue to be met or bettered. This paper provides a status summary of the satellite, system, and operations performance over the past year, describes some highlights of recent challenges, changes, and achievements, and outlines some enhancement work in progress and in future plans. The status was last reported at IGARSS in 2012 [1].","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125319653","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}
{"title":"Twelve monthly maps of ground Albedo parameters derived from MODIS data sets","authors":"P. Blanc, B. Gschwind, M. Lefèvre, L. Wald","doi":"10.1109/IGARSS.2014.6947177","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947177","url":null,"abstract":"The National Aeronautics and Space Administration (NASA) of the USA is making available to anyone worldwide maps of ground albedo parameters that are derived from the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument. The first parameter fiso describes the isotropic part of the bidirectional reflectance distribution function (BRDF); the two other parameters fvol and fgeo are linked to the viewing and illuminating geometry and describe the anisotropic part of the BRDF. These maps exhibit missing values. This communication describes a series of 12 monthly maps of the BRDF parameters with no missing values available on the Web. In addition, a method for computing the ground albedo is proposed that does not require the a priori knowledge of the ratio of the direct to the global irradiance.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409330","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}
{"title":"Airborne radar clutter simulation using hyperspectral and LiDAR imagery","authors":"M. S. Seyfioglu, S. Gurbuz","doi":"10.1109/IGARSS.2014.6947092","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947092","url":null,"abstract":"A key factor degrading the performance of airborne radar is clutter. Many current clutter mitigation algorithms rely on statistical clutter models; however, such models fail to incorporate the time varying, site dependent nature of unwanted scattering. Hyperspectral imagery combined with lidar-derived elevation data offers a unique and comprehensive assessment of the radar clutter environment. Elevation data can be used to compute the range of scatters to the radar, while hyperspectral data processing can yield information on terrain features, which directly impacts electromagnetic backscattering. A simulated airborne clutter map is provided, and statistics compared to typical clutter distributions.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133205897","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}
L. Dreschler-Fischer, O. Lavrova, B. Seppke, M. Gade, T. Bocharova, A. Serebryany, Oliver Bestmann
{"title":"Detecting and tracking small scale eddies in the black sea and the Baltic Sea using high-resolution Radarsat-2 and TerraSAR-X imagery (DTeddie)","authors":"L. Dreschler-Fischer, O. Lavrova, B. Seppke, M. Gade, T. Bocharova, A. Serebryany, Oliver Bestmann","doi":"10.1109/IGARSS.2014.6946650","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946650","url":null,"abstract":"High-resolution Synthetic Aperture radar (SAR) images of coastal and off-coastal areas provide a nearly weather independent monitoring of small-scale oceanographic features. In this paper, we describe the advances, which have been achieved within the DTeddie project. Therefore, we present the application of formerly developed algorithms to high-resolution SAR data to estimate the sea surface current at sub-mesoscale. Inside the derived current sea surface current fields, vortical structures, e.g. eddies, will be detected by means of local current anomalies. Another approach uses the alignment of anchored ships as an indicator of the sea surface current. To infer dependent information for each ship, we present an automatic registration method between coastal photographs and the SAR images. Both approaches have proven to yield valuable results with respect to the detection of vortical current flows at sub-mesoscale.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128891435","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}
{"title":"Precipitation characterization using simultaneous Ku- and Ka-band differential Doppler velocity measurements","authors":"R. Beauchamp, V. Chandrasekar","doi":"10.1109/IGARSS.2014.6947392","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947392","url":null,"abstract":"Radar observed differential Doppler velocity can be a proxy for the dual-frequency ratio for vertical pointing observations. Vertical pointing dual-frequency data was collected with the NASA D3R and the relationship between Ku- and Ka-band velocity measurements is discussed. It is shown that the differential Doppler velocity between frequencies provides insight into the microphysical properties of rain. The differential Doppler velocity can be used to estimate the median volume diameter, D0.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125478608","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}
C. Notarnicola, L. Pasolli, G. Cuozzo, F. Greifeneder, G. Bertoldi, S. Chiesa, G. Niedrist, Davide Castelletti, U. Tappeiner, L. Bruzzone, M. Zebisch
{"title":"Temporal and spatial soil moisture dynamics in mountain meadows by integrating Radarsat 2 images and ground data","authors":"C. Notarnicola, L. Pasolli, G. Cuozzo, F. Greifeneder, G. Bertoldi, S. Chiesa, G. Niedrist, Davide Castelletti, U. Tappeiner, L. Bruzzone, M. Zebisch","doi":"10.1109/IGARSS.2014.6946652","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946652","url":null,"abstract":"In mountain areas, soil moisture is a key parameter for both agricultural management and natural hazard support. This paper presents an approach for retrieval of soil moisture content (SMC) from different satellite sensors with a specific focus on mountain areas. The experimental analysis was carried out on images acquired over the Südtirol/Alto Adige Province (Italy) during 2010-2011 from the RADARSAT2 in quad-pol mode and Envisat ASAR in Wide Swath mode in VV polarization. The methodology for soil moisture retrieval is based on the Support Vector Regression (SVR) method specifically trained to be able to consider topographic effects of the mountain areas. The comparison with ground measurements collected during field campaigns indicates an RMSE value of around 5% of SMC% while the comparison with fixed ground stations reports an error of around 9% of SMC%. Comparing RADARSAT2 and ASAR SMC, both datasets reveal very similar distributions of SMC values. The cumulative histogram curve for the two datasets shows a slight underestimation of SMC in the ASAR product. This could be ascribed to the reduced resolution of ASAR WS and the use of VV polarization.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130816201","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}
{"title":"Intensity-level-selection-based wind retrieval from shipborne nautical X-band radar data","authors":"Y. Liu, Weimin Huang, E. Gill","doi":"10.1109/IGARSS.2014.6947462","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947462","url":null,"abstract":"In this paper, a modified intensity-level-selection-based algorithm for sea surface wind retrieval from shipborne X-band nautical radar images is presented. A data quality control process is introduced to improve the accuracy of wind measurements, including the recognition of blockages and islands in the temporally integrated radar images. Moreover, a harmonic function is used to least-squares fit the selected range vector to antenna look directions to improve the wind direction determination. The wind information obtained from the radar data is compared with shipborne anemometer results. The modified algorithm reduces the mean differences between the radar and the anemometer results for wind direction and speed by about 7.4° and 1.2 m/s, respectively.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906118","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}
{"title":"In-orbit calibration scanning microwave radiometer on HY-2 satellite of China","authors":"Zhenzhan Wang, Yun Li, X. Yin","doi":"10.1109/IGARSS.2014.6946838","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946838","url":null,"abstract":"In this paper, we give a method of calibrating Tb on HY-2 satellite by cross comparing them with those from WindSat satellite. The results show that the re-calibrated Tb were obviously closer to the simulated Tb by using ECWMF data. We will further investigate the accuracies with newly launched microwave radiometer AMSR2.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114640340","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}
{"title":"Multitemporal soil moisture retrieval from 3-days ERS-2 data: Comparison with ASCAT, SMOS and in situ measurements","authors":"N. Pierdicca, L. Pulvirenti, F. Fascetti","doi":"10.1109/IGARSS.2014.6946970","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946970","url":null,"abstract":"The use of soil moisture maps derived from satellite remote sensing measurements in operational applications (e.g. hydrology) was generally limited to instruments providing low resolution data (scatterometers, microwave radiometers) so far, because only these instruments offered a suitable temporal resolution. However, with the launch, in 2014, of a new generation of synthetic aperture radar (SAR) systems working at L- and C-bands (i.e., SMAP, Sentinel-1), it is expected the availability of soil moisture maps characterized by high spatial resolution and short revisit time. This kind of data give also the opportunity to improve the quality of SAR-derived soil moisture maps by applying multitemporal inversion techniques that, using a time series of SAR data, allows for dealing with the well-known ill-posedness of the retrieval problem. In anticipation of the availability of Sentinel-1 images, this study uses a dataset of ERS-2 SAR data with a revisit time of only three days to test a multitemporal soil moisture retrieval algorithm, already designed within the framework of project funded by European Space Agency, when vegetation is well-developed. As validation data, the in situ measurements of a set of stations belonging to the International Soil Moisture Network are used. To provide further insights on soil moisture retrieval from satellite microwave data, SAR retrievals and stations measurements are also compared with the estimates provided by ASCAT and SMOS.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126932395","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}