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

Autor: Luca Dell'Amore, Jose-Luis Bueso-Bello, Patrick Klenk, Jens Reimann, Paola Rizzoli

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1673-1690 (2024)

The radiometric calibration of spaceborne SAR products plays a key role for ensuring a good performance of the whole end-to-end system and requires a precise knowledge of both the radar system and the illuminated target on ground. The shape of the an

Externí odkaz: https://doaj.org/article/1aa3c14bfd144ff2a3056e9c12ca6ec2

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

Autor: Jonas Ziemer, Clémence Dubois, Christian Thiel, Jose-Luis Bueso-Bello, Paola Rizzoli, Christiane Schmullius

Publikováno v: Remote Sensing, Vol 15, Iss 14, p 3589 (2023)

The estimation of forestry parameters is essential to understanding the three-dimensional structure of forests. In this respect, the potential of X-band synthetic aperture radar (SAR) has been recognized for years. Many studies have been conducted on

Externí odkaz: https://doaj.org/article/670f85b054c649cfbc0b33966e321b22

Decadal grounding line migration and ice shelf melt regime of Petermann Glacier, North-West Greenland, from high-resolution InSAR data

Autor: Enrico Ciracì, Eric Rignot, Bernd Scheuchl, Valentyn Tolpekin, Michael Wollersheim, Lu An, Pietro Milillo, Jose Luis Bueso-Bello, Paola Rizzoli, Luigi Dini

Petermann Glacier (80.75N, 60.75W) terminates in one of the most extensive remaining ice tongues of the Greenland Ice Sheet. The glacier is grounded 600 meters below sea level on a downsloping bed and could significantly contribute to sea level rise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adb88afd7277114f4e3fa1e12e3cb745
https://doi.org/10.5194/egusphere-egu23-7096

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

Autor: Rizzoli, Jose-Luis Bueso-Bello, Daniel Carcereri, Michele Martone, Carolina González, Philipp Posovszky, Paola

Publikováno v: Remote Sensing; Volume 14; Issue 16; Pages: 3981

The TanDEM-X synthetic aperture radar (SAR) system allows for the recording of bistatic interferometric SAR (InSAR) acquisitions, which provide additional information to the common amplitude images acquired by monostatic SAR systems. More concretely,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::266e431eef3e1bde36910db202336c6d

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

Autor: Medard Obiang Ebanega, Harry Carstairs, Edward T. A. Mitchard, Jose-Luis Bueso-Bello, Iain McNicol, Anaick Modinga Dikongo, Chiara Aquino, Andrew Burt, Mathias Disney

Publikováno v: Remote Sensing
Volume 14
Issue 3
Pages: 452
Carstairs, H, Mitchard, E T A, Mcnicol, I, Aquino, C, Burt, A, Ebanega, M O, Dikongo, A M, Bueso-bello, J & Disney, M 2022, ' An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas ', Remote Sensing, vol. 14, no. 3, pp. 452 . https://doi.org/10.3390/rs14030452
Remote Sensing, Vol 14, Iss 452, p 452 (2022)

Current satellite remote sensing methods struggle to detect and map forest degradation, which is a critical issue as it is likely a major and growing source of carbon emissions and biodiveristy loss. TanDEM-X InSAR phase height (hϕ) is a promising v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e8cd5bb5aa08786640be59fb8f8a26