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Mansour, Islam and Hänsch, Ronny and Hajnsek, Irena and Papathanassiou, Konstantinos (2026) Hybrid Machine Learning Model for Forest Height Estimation From TanDEM-X and Landsat Data. IEEE Geoscience and Remote Sensing Letters, 23, p. 4008705. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2026.3693644. ISSN 1545-598X.
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Official URL: https://ieeexplore.ieee.org/document/11520312
| Item URL in elib: | https://elib.dlr.de/225464/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Hybrid Machine Learning Model for Forest Height Estimation From TanDEM-X and Landsat Data | ||||||||||||||||||||
| Authors: |
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| Date: | 14 May 2026 | ||||||||||||||||||||
| Journal or Publication Title: | IEEE Geoscience and Remote Sensing Letters | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| Volume: | 23 | ||||||||||||||||||||
| DOI: | 10.1109/LGRS.2026.3693644 | ||||||||||||||||||||
| Page Range: | p. 4008705 | ||||||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||
| ISSN: | 1545-598X | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Modeling;Forests;Machine learning;Reflectivity;Coherence;Estimation;Landsat;Synthetic aperture radar;Grounding;Specific absorption rate;ESA biomass;forest height;forest height estimation;forest structure;hybrid modeling;InSAR;interferometry;Landsat;machine learning (ML);multimodal;physical modeling;remote sensing;synthetic aperture radar;TanDEM-X;temporal decorrelation;topographic effects | ||||||||||||||||||||
| 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 - Artificial Intelligence | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > SAR Technology Microwaves and Radar Institute > Radar Concepts | ||||||||||||||||||||
| Deposited By: | Hänsch, Ronny | ||||||||||||||||||||
| Deposited On: | 03 Jul 2026 14:55 | ||||||||||||||||||||
| Last Modified: | 13 Aug 2026 12:37 |
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