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Carcereri, Daniel and Rizzoli, Paola and Dell'Amore, Luca and Tebaldini, Stefano (2025) On the role of Interferometric SAR features in deriving forest parameters using Deep Learning. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025-08-03 - 2025-08-08, Brisbane, Australia.
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| Item URL in elib: | https://elib.dlr.de/213932/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | On the role of Interferometric SAR features in deriving forest parameters using Deep Learning | ||||||||||||||||||||
| Authors: |
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| Date: | 2025 | ||||||||||||||||||||
| Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | deep learning, XAI, TanDEM-X, forest parameters, Gabon | ||||||||||||||||||||
| Event Title: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
| Event Location: | Brisbane, Australia | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| Event Start Date: | 3 August 2025 | ||||||||||||||||||||
| Event End Date: | 8 August 2025 | ||||||||||||||||||||
| Organizer: | IEEE GRSS | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - AI4SAR | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > Spaceborne SAR Systems Microwaves and Radar Institute | ||||||||||||||||||||
| Deposited By: | Carcereri, Daniel | ||||||||||||||||||||
| Deposited On: | 02 Jun 2025 17:54 | ||||||||||||||||||||
| Last Modified: | 02 Dec 2025 09:59 |
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