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Featured researches published by Hannah Joerg.


international geoscience and remote sensing symposium | 2016

Dual-polarimetric agricultural change analysis of long baseline TanDEM-X time series data

Alberto Alonso-González; Hannah Joerg; Konstantinos Papathanassiou; Irena Hajnsek

The standard TanDEM-X baselines have been designed to optimize the high resolution global Digital Elevation Model (DEM) generation. However, during the Science Phase of the mission longer baselines are available. This allows interferometric measurements with a higher vertical sensitivity, more appropriate for agricultural applications, where the crop heights are too small to be properly detected and analyzed with the standard baselines. This paper evaluates the use of the experimental long baseline TanDEM-X acquisitions for the monitoring of the agricultural changes in dual-pol single-pass interferometric time series.


international geoscience and remote sensing symposium | 2015

Spatial and temporal characterization of agricultural crop volumes by means of polarimetric SAR tomographyatc-band

Hannah Joerg; Matteo Pardini; Irena Hajnsek

In this paper, agricultural crop volumes are analysed using (polarimetric) tomographic SAR methodologies. A procedure for the separation of the ground and volume multibaseline coherences is proposed. This separation is used in particular to investigate the polarization dependency of the vegetation vertical structure in order to get first insights about orientation effects. This analysis has been carried out for different crops and on different development stages. The presented results have been obtained by processing a multibaseline fully polarimetric data set purposely acquired at C-band by the DLRs airborne sensor F-SAR in 2014.


IEEE Geoscience and Remote Sensing Letters | 2017

On the Separation of Ground and Volume Scattering Using Multibaseline SAR Data

Hannah Joerg; Matteo Pardini; Irena Hajnsek; Konstantinos Papathanassiou

In forest and agricultural scattering scenarios, the backscattered synthetic aperture radar (SAR) signature consists, depending on the frequency, of the superposition of ground and volume scattering contributions. Using multibaseline SAR data, SAR tomography techniques allow resolving contributions occurring at different heights. Two algorithms for the separation of ground and volume scattering are compared with respect to their ability to provide a coherent volume component that can be further used for parameter inversion, both of them requiring only the a priori known ground topography. Once the volume-only coherences are available, the total ground and volume scattering powers are estimated by means of a least squares fitting. The objective of this letter is to quantitatively evaluate the performance of this estimation by means of a Monte Carlo analysis with simulated data focusing on the impact of vertical resolution, errors in the knowledge of the ground topography and phase calibration residuals.


international geoscience and remote sensing symposium | 2016

First study on holographic SAR tomography over agricultural crops at C-/X-band

Octavio Ponce; Hannah Joerg; Rolf Scheiber; Pau Prats; Irena Hajnsek; Andreas Reigber

Recently, the 3-D backscattering distribution of forests and ice bodies has been factor of study with the HoloSAR imaging mode, showing its capabilities to obtain 3-D imaging reconstructions of volumes over 360° at very high resolution. In this paper, the first assessment of agricultural crops in the holographic SAR tomography (HoloSAR) mode is presented. The goal of this research is to investigate the retrieval of the three-dimensional backscattering of crop fields as a function of the azimuthal aspect angle and the tomographic constellation. To that end, a HoloSAR campaign was conducted at X-/C-band by DLRs F-SAR sensor in Wallerfing, Germany. The experimental results of this study show 2-D and 3-D polarimetric images, where the co-polar phase is analyzed qualitatively giving some indications about the kind of scattering mechanisms.


Archive | 2016

Analysis of Orientation Effects of Crop Vegetation Volumes by Means of SAR Tomography at Different Frequencies

Hannah Joerg; Matteo Pardini; Konstantinos Papathanassiou; Irena Hajnsek


EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Proceedings of | 2016

Change Analysis and Interpretation in Polarimetric Time Series over Agricultural Fields at C-band

Alberto Alonso-González; Hannah Joerg; Konstantinos Papathanassiou; Irena Hajnsek


Archive | 2018

Towards Soil Moisture Inversion Under Agricultural Vegetation at X-, C- and L-Band Using SAR Tomography

Hannah Joerg; Matteo Pardini; Alberto Alonso-González; Konstantinos Papathanassiou; Irena Hajnsek


IEEE Transactions on Geoscience and Remote Sensing | 2018

3-D Scattering Characterization of Agricultural Crops at C-Band Using SAR Tomography

Hannah Joerg; Matteo Pardini; Irena Hajnsek; Konstantinos Papathanassiou


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2018

Sensitivity of SAR Tomography to the Phenological Cycle of Agricultural Crops at X-, C-, and L-band

Hannah Joerg; Matteo Pardini; Irena Hajnsek; Konstantinos Papathanassiou


Archive | 2017

Multi-frequency Polarimetric SAR Time Series for Agricultural Monitoring

Alberto Alonso-González; Virginia Brancato; Hannah Joerg

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Irena Hajnsek

Université de Sherbrooke

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Irena Hajnsek

Université de Sherbrooke

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Konstantinos Papathanassiou

United States Naval Research Laboratory

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Konstantinos Papathanassiou

United States Naval Research Laboratory

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Virginia Brancato

École Polytechnique Fédérale de Lausanne

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Pau Prats

German Aerospace Center

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