Interferometric processing of TanDEM-X data

Fritz, Thomas; Rossi, Cristian; Yague-Martinez, Nestor; Rodriguez-Gonzalez, Fernando; Lachaise, Marie; Breit, Helko

doi:10.1109/igarss.2011.6049701

Cited by 94 publications

(65 citation statements)

References 5 publications

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“…For each scene, the operational TanDEM-X processor delivers several quicklook images as by-products from the interferometric processing chain [26]. These quicklooks are characterized by a lower resolution compared to the corresponding interferometric data at full resolution, having a ground pixel spacing of about 50 m × 50 m, and are generated for several different quantities, such as the amplitude, the interferometric coherence, and the resulting DEM.…”

Section: Tandem-x Acquisitions Over Greenlandmentioning

confidence: 99%

Characterization of Snow Facies on the Greenland Ice Sheet Observed by TanDEM-X Interferometric SAR Data

et al. 2017

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This paper presents for the first time a detailed study on information content of X-band single-pass interferometric spaceborne SAR data with respect to snow facies characterization. An approach for classifying different snow facies of the Greenland Ice Sheet by exploiting X-band TanDEM-X interferometric synthetic aperture radar acquisitions is firstly detailed. Large-scale mosaics of radar backscatter and volume correlation factor, derived from quicklook images of the interferometric coherence, represent the starting point for applying an unsupervised classification method based on the c-means fuzzy clustering algorithm. The data was acquired during winter 2010/2011. A partition of four different snow facies was chosen and interpreted using reference melt data, snow density, and in situ measurements. The variations in the stratification and micro-structure of firn, such as the variations of density with depth and the presence of percolation features, are identified as relevant parameters for explaining the significant differences in the observed interferometric signatures among different snow facies. Moreover, a statistical analysis of backscatter and volume correlation factor provided useful parameters for characterizing the snow facies behavior and analyzing their dependency on the acquisition geometry. Finally, knowing the location and characterization of the different snow facies, the two-way X-band penetration depth over the whole Ice Sheet was estimated. The obtained mean values vary from 2.3 m for the outer snow facies up to 4.18 m for the inner one. The presented approach represents a starting point for a long-term monitoring of ice sheet dynamics, by acquiring time-series, and is of high relevance for the design of future SAR missions as well.

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Section: Tandem-x Acquisitions Over Greenlandmentioning

confidence: 99%

Characterization of Snow Facies on the Greenland Ice Sheet Observed by TanDEM-X Interferometric SAR Data

et al. 2017

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“…Interferometric phase filtering (Lee et al, 1998) instead of multilooking could be used to decrease the speckle effect. Furthermore, potential quality improvements can be achieved by considering atmospheric path delays (Fritz et al, 2011), which have not been taken into account at the presented processing chain.…”

Section: Discussionmentioning

confidence: 99%

Potential of Multitemporal Tandem-X Derived Crop Surface Models for Maize Growth Monitoring

Hütt¹,

Tilly²,

Schiedung³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions were taken over a rural area in Germany in the growing season 2014. By interferometric processing, digital terrain models (DTM) were derived for each date with 5 m resolution. From the data of the first acquisition (June 1st) taken before planting, a DTM of the bare ground is generated. The data of the following acquisition dates (July 15th, July 26th) are used to establish crop surface models (CSM). A CSM represents the crop surface of a whole field in a high resolution. By subtracting the DTM of the ground from each CSM, the actual plant height is calculated. Within these data sets 30 maize fields in the area of interest could be detected and verified by external land use data. Besides the spaceborne measurements, one of the maize fields was intensively investigated using terrestrial laser scanning (TLS), which was carried out at the same dates as the predicted TanDEM-X acquisitions. Visual inspection of the derived plant heights, and accordance of the individually processed polarisations over the maize fields, demonstrate the feasibility of the proposed method. Unfortunately, the infield variability of the intensively monitored field could not be successfully captured in the TanDEM-X derived plant heights and merely the general trend is visible. Nevertheless, the study shows the potential of the TanDEM-X constellation for maize height monitoring on field level.

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“…By January 2015, about 500,000 bistatic scenes have been processed by the operational Integrated TanDEM-X Processor (ITP) [2], showing that TanDEM-X is able to provide the remote sensing community a unique data set to be exploited for a wide range of scientific applications. For each TanDEM-X bistatic scene, the ITP produces several quicklooks as by-products from the interferometric processing chain.…”

Section: Global Mosaics From Tandem-x Quicklooksmentioning

confidence: 99%

Global Maps from Interferometric TanDEM-X Data: Applications and Potentials

Rizzoli¹,

Martone²,

Bräutigam³

et al. 2015

Proceedings of Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop

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TanDEM-X is a spaceborne Synthetic Aperture Radar (SAR) mission, whose goal is the generation of a global Digital Elevation Model (DEM) with unprecedented accuracy, by using interferometric SAR (InSAR) techniques (InSAR). TanDEM-X offers a huge global data set of bistatic InSAR acquisitions, each of them supplemented by quicklook images of different SAR quantities, such as amplitude, coherence, and DEM. Global quicklook mosaics of the interferometric coherence and of the relative height error can be considered for mission performance monitoring and acquisition strategy optimization. The aim of this paper is to present the use of such mosaics within the TanDEM-X mission and to show their potentials for future scientific applications for example in the fields of glaciology and forestry.

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Interferometric processing of TanDEM-X data

Cited by 94 publications

References 5 publications

Characterization of Snow Facies on the Greenland Ice Sheet Observed by TanDEM-X Interferometric SAR Data

Characterization of Snow Facies on the Greenland Ice Sheet Observed by TanDEM-X Interferometric SAR Data

Potential of Multitemporal Tandem-X Derived Crop Surface Models for Maize Growth Monitoring

Global Maps from Interferometric TanDEM-X Data: Applications and Potentials

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