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

Abbreviation

IEEE j. sel. top. appl. earth obs. remote sens.

Publisher

IEEE

Journal Volumes

ISSN

1939-1404
2151-1535

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2010 - 2019222020 - 202631
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Publications 1 - 10 of 53
  • Comparing Performances of Crop Height Inversion Schemes From Multifrequency Pol-InSAR Data
    Item type: Journal Article
    Pichierri, Manuele; Hajnsek, Irena (2017)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • First Results of Rice Monitoring Practices in Spain by Means of Time Series of TerraSAR-X Dual-Pol Images
    Item type: Journal Article
    Lopez-Sanchez, Juan M.; Ballester-Berman, J. David; Hajnsek, Irena (2010)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Models
    Item type: Journal Article
    Yuzugullu, Onur; Erten, Esra; Hajnsek, Irena (2018)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Snow Water Equivalent of Dry Snow Measured by Differential Interferometry
    Item type: Journal Article
    Leinss, Silvan; Wiesmann, Andreas; Lemmetyinen, Juha; et al. (2015)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • An Iterative Generalized Hybrid Decomposition for Soil Moisture Retrieval under Vegetation Cover Using Fully Polarimetric SAR
    Item type: Journal Article
    Jagdhuber, Thomas; Hajnsek, Irena; Papathanassiou, Konstantinos P. (2015)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Polarimetric Analysis of Biseasonal Monostatic and Bistatic Radar Observations of a Glacier Accumulation Zone at Ku-Band
    Item type: Journal Article
    Štefko, Marcel; Bernhard, Philipp; Frey, Othmar; et al. (2024)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    We present ground-based Ku-band radar observations of the snow cover on top of the Great Aletsch Glacier carried out over two observation periods, in August 2021 and in March 2022. The observations were carried out with the combined mono/bistatic version of KAPRI, a full-polarimetric radar system, and revealed substantial differences between the scattering behavior of the snow cover between the two seasons. We analyze the spatial and temporal behavior of parameters, including temporal decorrelation, the scattering entropy, the mean polarimetric alpha angle, and the co-polarized phase difference (CPD) and the cross-polarized phase difference (XPD). The results indicate that snow cover decorrelates at Ku-band on the timescales of 4-12 h in winter and summer, which has implications for repeat-pass methods with long temporal baselines. The analysis of the CPD in winter indicates that the parameter is prone to phase wrapping. In summer, its value exhibits a smooth spatial trend and a strong sensitivity to changes in incidence angle and liquid water content. The bistatic XPD also acquires a nonzero value, indicating the presence of nonreciprocal scattering, which has implications for possible calibration procedures of bistatic systems. The presented results aim to serve as a reference for snow scattering behavior at Ku-band, which can aid planning of future data acquisition campaigns and satellite missions.
  • Efficient Approach for Atmospheric Phase Screen Mitigation in Time Series of Terrestrial Radar Interferometry Data Applied to Measure Glacier Velocity
    Item type: Journal Article
    Izumi, Yuta; Frey, Othmar; Baffelli, Simone; et al. (2021)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    The accuracy of surface displacements measured by differential radar interferometry is significantly degraded by the atmospheric phase screen (APS). This article presents a practical and efficient approach for APS mitigation based on the coherent pixels technique (CPT) displacement velocity estimation algorithm. In the proposed approach, all motionless coherent pixels closest to the moving area are defined as seeds surrounding the moving area at the integration step of the CPT. This arrangement consequently minimizes the integration path and the APS effect in the final velocity result. It is designed for terrestrial radar interferometry (TRI) applications. A piecewise processing chain is further introduced as a continuous operational mode processing framework to derive arbitrary temporal displacement patterns in this work. Three-day datasets measured by Ku-band TRI over a mountainous region in the canton of Valais, Switzerland, were used for validation. Through this validation, a comparative study of five algorithms was carried out. This evaluation showed the efficiency of the proposed approach. The proposed approach does not require phase unwrapping, kriging interpolation, and spatio-temporal covariance inference for APS mitigation, which is appropriate for continuous TRI operation.
  • Snow Height Determination by Polarimetric Phase Differences in X-Band SAR Data
    Item type: Journal Article
    Leinss, Silvan; Parrella, Giuseppe; Hajnsek, Irena (2014)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Uncertainty Analysis of Digital Elevation Models by Spatial Inference From Stable Terrain
    Item type: Journal Article
    Hugonnet, Romain; Brun, Fanny; Berthier, Etienne; et al. (2022)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    The monitoring of Earth’s and planetary surface elevations at larger and finer scales is rapidly progressing through the increasing availability and resolution of digital elevation models (DEMs). Surface elevation observations are being used across an expanding range of fields to study topographical attributes and their changes over time, notably in glaciology, hydrology, volcanology, seismology, forestry, and geomorphology. However, DEMs frequently contain large-scale instrument noise and varying vertical precision that lead to complex patterns of errors. Here, we present a validated statistical workflow to estimate, model, and propagate uncertainties in DEMs. We review the state-of-the-art of DEM accuracy and precision analyses, and define a conceptual framework to consistently address those. We show how to characterize DEM precision by quantifying the heteroscedasticity of elevation measurements, i.e., varying vertical precision with terrainor sensor-dependent variables, and the spatial correlation of errors that can occur across multiple spatial scales. With the increasing availability of high-precision observations, our workflow based on independent elevation data acquired on stable terrain can be applied almost anywhere on Earth. We illustrate how to propagate uncertainties for both pixel-scale and spatial elevation derivatives, using terrain slope and glacier volume changes as examples. We find that uncertainties in DEMs are largely underestimated in the literature, and advocate that new metrics of DEM precision are essential to ensure the reliability of future land elevation assessments.
  • Demonstration of Phase-Preserving Synchronization RFI Suppression for L-Band Spaceborne Bistatic Interferometric SAR
    Item type: Journal Article
    Zhang, Yanyan; Li, Junfeng; Lu, Pingping; et al. (2024)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    Spaceborne bistatic synthetic aperture radar (BiSAR) systems utilize an intersatellite link to achieve phase synchronization. However, radio frequency interference (RFI) from communication satellites and ground-based radars often contaminates the synchronization signal, leading to inaccuracies in the inverted digital elevation model (DEM). Therefore, this article puts forward an advanced phase-preserving synchronization RFI suppression method and validates it using data from an L-band BiSAR system, LuTan-1 (LT-1). The method involves detecting and locating RFI within a monopulse synchronization signal, and the signal at the estimated RFI position is removed to obtain a preprocessed signal. Then, based on the preprocessed signal and the RFI model, RFI is estimated using a gradient-based approach. Finally, the estimated RFI is subtracted from the monopulse signal to obtain the desired signal. In addition, synchronization RFI suppression and DEM generation experiments are performed on the LT-1 data to verify the proposed method. Experimental results demonstrate that the method effectively suppresses synchronization RFI and improves DEM accuracy, and it has extensive application prospects in future low-band distributed interferometric synthetic aperture radar missions.
Publications 1 - 10 of 53