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The global forest/non-forest map from TanDEM-X interferometric SAR data

Remote sensing of environment, 2018-02, Vol.205, p.352-373

2018

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A Fully Automatic Algorithm for Editing the TanDEM-X Global DEM

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3961

2020

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Characterization of the Amazon Rainforest Backscatter at X-Band Using TanDEM-X Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.1673-1690

2024

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An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.452

2022

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High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1477

2018

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Relationship between Lidar-Derived Canopy Densities and the Scattering Phase Center of High-Resolution TanDEM-X Data

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3589

2023

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The Global Water Body Layer from TanDEM-X Interferometric SAR Data

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5069

2021

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The TanDEM-X Mission Phases-Ten Years of Bistatic Acquisition and Formation Planning

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.3504-3518

2021

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Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data

Remote sensing of environment, 2024-09, Vol.311, p.114270, Article 114270

2024

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Melt rates in the kilometer-size grounding zone of Petermann Glacier, Greenland, before and during a retreat

Proceedings of the National Academy of Sciences - PNAS, 2023-05, Vol.120 (20), p.e2220924120-e2220924120

2023

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On the Derivation of Volume Decorrelation From TanDEM-X Bistatic Coherence

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.3504-3518

2022

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InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation

IEEE geoscience and remote sensing letters, 2021-12, Vol.18 (12), p.2107-2111

2021

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Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3981

2022

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Bandwidth Considerations for Interferometric Applications Based on TanDEM-X

IEEE geoscience and remote sensing letters, 2017-02, Vol.14 (2), p.203-207

2017

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First Characterization and Performance Evaluation of Bistatic TanDEM-X Experimental Products

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-03, Vol.9 (3), p.1058-1071

2016

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Performance Evaluation of TanDEM-X Quad-Polarization Products in Bistatic Mode

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.787-799

2018

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Performance Analysis of TanDEM-X Quad-Polarization Products in Pursuit Monostatic Mode

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-05, Vol.10 (5), p.1853-1869

2017

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A Novel Approach to Monitor Deforestation in the Amazon Rainforest by Means of Sentinel-1 and Tandem-X Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p.192-195

2018

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Potentials of Tandem-X Forest/Non-Forest Map for Change Detection

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p.4213-4216

2018

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Characterization of Tropical Rainforest for X-Band Spaceborne SAR Calibration Using Tandem-X Data

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.1477-1480

2023

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TanDEM-X Edited DEM: Automated Global Void Filling and Water Flattening

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.5425-5428

2022

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Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.433-436

2023

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Modeling Temporal Decorrelation at X-Band by Combining Tandem-X and PAZ Insar Data

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.355-358

2020

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Melt rates in the kilometer-size grounding zone of Petermann Glacier, Greenland, before and during a retreat

Proceedings of the National Academy of Sciences - PNAS, 2023-05, Vol.120 (20), p.1

2023

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Production of a global forest/non-forest map utilizing TanDEM-X interferometric SAR data

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017, p.751-754

2017

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The global forest/non-forest map from TanDEM-X interferometric SAR data

A Fully Automatic Algorithm for Editing the TanDEM-X Global DEM

Characterization of the Amazon Rainforest Backscatter at X-Band Using TanDEM-X Data

An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas

High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering

Relationship between Lidar-Derived Canopy Densities and the Scattering Phase Center of High-Resolution TanDEM-X Data

The Global Water Body Layer from TanDEM-X Interferometric SAR Data

The TanDEM-X Mission Phases-Ten Years of Bistatic Acquisition and Formation Planning

Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data

Melt rates in the kilometer-size grounding zone of Petermann Glacier, Greenland, before and during a retreat

On the Derivation of Volume Decorrelation From TanDEM-X Bistatic Coherence

InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation

Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data

Bandwidth Considerations for Interferometric Applications Based on TanDEM-X

First Characterization and Performance Evaluation of Bistatic TanDEM-X Experimental Products

Performance Evaluation of TanDEM-X Quad-Polarization Products in Bistatic Mode

Performance Analysis of TanDEM-X Quad-Polarization Products in Pursuit Monostatic Mode

A Novel Approach to Monitor Deforestation in the Amazon Rainforest by Means of Sentinel-1 and Tandem-X Data

Potentials of Tandem-X Forest/Non-Forest Map for Change Detection

Characterization of Tropical Rainforest for X-Band Spaceborne SAR Calibration Using Tandem-X Data

TanDEM-X Edited DEM: Automated Global Void Filling and Water Flattening

Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning

Modeling Temporal Decorrelation at X-Band by Combining Tandem-X and PAZ Insar Data

Melt rates in the kilometer-size grounding zone of Petermann Glacier, Greenland, before and during a retreat

Production of a global forest/non-forest map utilizing TanDEM-X interferometric SAR data

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