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

S. Tebaldini; Mauro Mariotti d'Alessandro; Lars Ulander; Patrik Bennet; A. Gustavsson; Alex Coccia; Karlus Macedo; Mathias Disney; Phil Wilkes; Hans Joachim Spors; Nico Schumacher; Jan Hanuš; Jan Novotný; Benjamin Brede; Harm Bartholomeus; Alvaro Lau; Jens van der Zee; Martin Herold; Dirk Schuettemeyer; Klaus Scipal

doi:10.1016/j.rse.2023.113532

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
Artikel i vetenskaplig tidskrift, 2023

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.

Forest vertical structure

SAR tomography

Forest census

Synthetic aperture radar (SAR)

Bistatic radar

L-band

Terrestrial laser scanning (ALS)

Forest above ground biomass

P-band

Författare

S. Tebaldini

Politecnico di Milano

Mauro Mariotti d'Alessandro

Politecnico di Milano

Lars Ulander

Totalförsvarets forskningsinstitut (FOI)

Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys

Forskning Andra publikationer

Patrik Bennet

Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys

Forskning Andra publikationer

A. Gustavsson

Totalförsvarets forskningsinstitut (FOI)

Alex Coccia

MetaSensing BV

Karlus Macedo

MetaSensing BV

Mathias Disney

University College London (UCL)

Phil Wilkes

University College London (UCL)

Hans Joachim Spors

Landesbetrieb Wald und Holz Nordrhein-Westfalen

Nico Schumacher

Landesbetrieb Wald und Holz Nordrhein-Westfalen

Jan Hanuš

Czech Academy of Sciences