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José-Luis Bueso-Bello
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2020 – today
- 2024
- [j14]Luca Dell'Amore
, José-Luis Bueso-Bello
Characterization of the Amazon Rainforest Backscatter at X-Band Using TanDEM-X Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1673-1690 (2024) - [c17]Daniel Carcereri, Paola Rizzoli, Luca Dell'Amore, José-Luis Bueso-Bello, Dino Ienco, Lorenzo Bruzzone:
Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data. IGARSS 2024: 2279-2284 - [c16]Carolina González, José-Luis Bueso-Bello, Markus Bachmann, Paola Rizzoli:
The TanDEM-X 30m Edited Dem Released For Scientific Use. IGARSS 2024: 2958-2961 - [c15]José-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri, Ronny Hänsch, Paola Rizzoli:
Forest Mapping with Tandem-X Insar Data and Self-Supervised Learning. IGARSS 2024: 4431-4434 - 2023
- [j13]Jonas Ziemer
Relationship between Lidar-Derived Canopy Densities and the Scattering Phase Center of High-Resolution TanDEM-X Data. Remote. Sens. 15(14): 3589 (2023) - [c14]Paola Rizzoli, Ricardo Dal Molin, Daniel Carcereri, José-Luis Bueso-Bello:
Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning. IGARSS 2023: 433-436 - [c13]José-Luis Bueso-Bello, Ricardo Dal Molin, Daniel Carcereri, Philipp Posovszky, Carolina González, Michele Martone, Paola Rizzoli:
Monitoring Forest Degradation in the Amazon Basin with Tandem-X High-Resolution Images and Deep Learning Techniques. IGARSS 2023: 1473-1476 - [c12]Luca Dell'Amore
Characterization of Tropical Rainforest for X-Band Spaceborne SAR Calibration Using Tandem-X Data. IGARSS 2023: 1477-1480 - 2022
- [j12]Harry Carstairs
An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas. Remote. Sens. 14(3): 452 (2022) - [j11]José-Luis Bueso-Bello
Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data. Remote. Sens. 14(16): 3981 (2022) - [j10]Paola Rizzoli
On the Derivation of Volume Decorrelation From TanDEM-X Bistatic Coherence. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3504-3518 (2022) - [c11]Markus Bachmann, Carolina González, José-Luis Bueso-Bello, Paola Rizzoli, Manfred Zink:
TanDEM-X Edited DEM: Automated Global Void Filling and Water Flattening. IGARSS 2022: 5425-5428 - [c10]José-Luis Bueso-Bello, Daniel Carcereri, Michele Martone, Carolina González, Paola Rizzoli:
Tropical Forests Mapping with Tandem-X and Deep Learning Methods. IGARSS 2022: 5684-5687 - [c9]Daniel Carcereri, Paola Rizzoli, Dino Ienco, José-Luis Bueso-Bello, Carolina González, Stefano Puliti, Lorenzo Bruzzone:
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. IGARSS 2022: 5773-5776 - 2021
- [j9]Francescopaolo Sica
InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation. IEEE Geosci. Remote. Sens. Lett. 18(12): 2107-2111 (2021) - [j8]José-Luis Bueso-Bello
The Global Water Body Layer from TanDEM-X Interferometric SAR Data. Remote. Sens. 13(24): 5069 (2021) - [j7]Markus Bachmann
The TanDEM-X Mission Phases - Ten Years of Bistatic Acquisition and Formation Planning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3504-3518 (2021) - [c8]José-Luis Bueso-Bello, Andrea Pulella, Francescopaolo Sica, Paola Rizzoli:
Deep Learning for Mapping the Amazon Rainforest with TanDEM-X. IGARSS 2021: 1549-1552 - 2020
- [j6]Carolina González
A Fully Automatic Algorithm for Editing the TanDEM-X Global DEM. Remote. Sens. 12(23): 3961 (2020) - [c7]Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, Michele Martone, José-Luis Bueso-Bello, María José González Bonilla
Modeling Temporal Decorrelation at X-Band by Combining Tandem-X and PAZ Insar Data. IGARSS 2020: 355-358
2010 – 2019
- 2018
- [j5]Michele Martone
High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering. Remote. Sens. 10(9): 1477 (2018) - [j4]José-Luis Bueso-Bello
Performance Evaluation of TanDEM-X Quad-Polarization Products in Bistatic Mode. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 787-799 (2018) - [c6]Paola Rizzoli
A Novel Approach to Monitor Deforestation in the Amazon Rainforest by Means of Sentinel-1 and Tandem-X Data. IGARSS 2018: 192-195 - [c5]José-Luis Bueso-Bello, Paola Rizzoli
Potentials of Tandem-X Forest/Non-Forest Map for Change Detection. IGARSS 2018: 4213-4216 - 2017
- [j3]Michele Martone
Bandwidth Considerations for Interferometric Applications Based on TanDEM-X. IEEE Geosci. Remote. Sens. Lett. 14(2): 203-207 (2017) - [j2]José-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola, Carolina González, Thomas Kraus, Jens Reimann, Marc Jäger, Benjamin Bräutigam, Paola Rizzoli
Performance Analysis of TanDEM-X Quad-Polarization Products in Pursuit Monostatic Mode. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 1853-1869 (2017) - [c4]Christopher Wecklich, Michele Martone, Paola Rizzoli
Production of a global forest/non-forest map utilizing TanDEM-X interferometric SAR data. IGARSS 2017: 751-754 - [c3]Cristian Rossi
Topographical changes caused by the 2016 central Italy earthquake series. IGARSS 2017: 5689-5692 - 2016
- [j1]José-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola
First Characterization and Performance Evaluation of Bistatic TanDEM-X Experimental Products. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(3): 1058-1071 (2016) - 2015
- [c2]José-Luis Bueso-Bello, Michele Martone, Carolina González, Thomas Kraus, Benjamin Bräutigam:
First interferometric performance analysis of full polarimetric TanDEM-X acquisitions in the pursuit monostatic phase. IGARSS 2015: 1242-1245 - 2012
- [c1]José-Luis Bueso-Bello, Carolina González, Thomas Kraus, Benjamin Bräutigam:
Characteristics of TanDEM-X experimental modes. IGARSS 2012: 1042-1045
Coauthor Index
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