eprintid: 10169221 rev_number: 8 eprint_status: archive userid: 699 dir: disk0/10/16/92/21 datestamp: 2023-05-03 14:31:56 lastmod: 2024-03-23 07:10:04 status_changed: 2023-05-03 14:31:56 type: article metadata_visibility: show sword_depositor: 699 creators_name: Tebaldini, S creators_name: d'Alessandro, MM creators_name: Ulander, LMH creators_name: Bennet, P creators_name: Gustavsson, A creators_name: Coccia, A creators_name: Macedo, K creators_name: Disney, M creators_name: Wilkes, P creators_name: Spors, HJ creators_name: Schumacher, N creators_name: Hanuš, J creators_name: Novotný, J creators_name: Brede, B creators_name: Bartholomeus, H creators_name: Lau, A creators_name: Van der Zee, J creators_name: Herold, M creators_name: Schuettemeyer, D creators_name: Scipal, K title: TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono- and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census ispublished: pub divisions: UCL divisions: B03 divisions: C03 divisions: F26 keywords: Synthetic aperture radar (SAR), SAR tomography, Bistatic radar, P -band, L -band, Forest vertical structure, Forest above ground biomass, Terrestrial laser scanning (ALS), Forest census note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: The TomoSense experiment was funded by the European Space Agency (ESA) to support research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) data, with a special focus on the use of tomographic SAR (TomoSAR) to retrieve information about the vertical structure of the vegetation at different frequency bands. The illuminated scene is the temperate forest at the Eifel National Park, North-West Germany. Dominant species are beech and spruce trees. Forest height ranges roughly from 10 to 30 m, with peaks up to over 40 m. Forest Above Ground Biomass (AGB) ranges from 20 to 300 Mg/ha, with peaks up to over 400 Mg/ha. SAR data include P-, L-, and C-band surveys acquired by flying up to 30 trajectories in two headings to provide tomographic imaging capabilities. L- and C-band data were acquired by simultaneously flying two aircraft to gather bistatic data along different trajectories. The SAR dataset is complemented by 3D structural canopy measurements made via terrestrial laser scanning (TLS), Unoccupied Aerial Vehicle lidar (UAV-L) and airborne laser scanning (ALS), and in-situ forest census. This unique combination of SAR tomographic and multi-scale lidar data allows for direct comparison of canopy structural metrics across wavelength and scale, including vertical profiles of canopy wood and foliage density, and per-tree and plot-level above ground biomass (AGB). The resulting TomoSense data-set is free and openly available at ESA for any research purpose. The data-set includes ALS-derived maps of forest height and AGB, forest parameters at the level of single trees, TLS raw data, and plot-average TLS vertical profiles. The provided SAR data are coregistered, phase calibrated, and ground steered, to enable a direct implementation of any kind of interferometric or tomographic processing without having to deal with the subtleties of airborne SAR processing. Moreover, the data-base comprises SAR tomographic cubes representing forest scattering in 3D both in Radar and geographical coordinates, intended for use by non-Radar experts. For its unique features and completeness, the TomoSense data-set is intended to serve as an important basis for future research on microwave scattering from forested areas in the context of future Earth Observation missions. date: 2023-05-15 date_type: published publisher: ELSEVIER SCIENCE INC official_url: https://doi.org/10.1016/j.rse.2023.113532 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2015806 doi: 10.1016/j.rse.2023.113532 lyricists_name: Disney, Mathias lyricists_id: MIDIS56 actors_name: Disney, Mathias actors_id: MIDIS56 actors_role: owner funding_acknowledgements: [European Space Agency]; 4000127285/19/NL/FF/gp [ESA under European Space Research and Technology Centre (ESA-ESTEC)]; [UCL Geography]; [NERC National Centre for Earth Observation (NCEO)]; 4000128960/19/I-NS [ESA IDEAS-QA4EO project] full_text_status: public publication: Remote Sensing of Environment volume: 290 article_number: 113532 pages: 11 issn: 0034-4257 citation: Tebaldini, S; d'Alessandro, MM; Ulander, LMH; Bennet, P; Gustavsson, A; Coccia, A; Macedo, K; ... Scipal, K; + view all <#> Tebaldini, S; d'Alessandro, MM; Ulander, LMH; Bennet, P; Gustavsson, A; Coccia, A; Macedo, K; Disney, M; Wilkes, P; Spors, HJ; Schumacher, N; Hanuš, J; Novotný, J; Brede, B; Bartholomeus, H; Lau, A; Van der Zee, J; Herold, M; Schuettemeyer, D; Scipal, K; - view fewer <#> (2023) TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono- and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census. Remote Sensing of Environment , 290 , Article 113532. 10.1016/j.rse.2023.113532 <https://doi.org/10.1016/j.rse.2023.113532>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10169221/1/TomoSense_RSE_V2.pdf