L
Lars M. H. Ulander
Researcher at Chalmers University of Technology
Publications - 298
Citations - 6711
Lars M. H. Ulander is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Synthetic aperture radar & Radar. The author has an hindex of 38, co-authored 295 publications receiving 5997 citations. Previous affiliations of Lars M. H. Ulander include Canada Centre for Remote Sensing & Swedish Defence Research Agency.
Papers
More filters
National forest mapping of stem volume using TanDEM-X
TL;DR: In this paper, the authors used a nation-wide collection of 518 TanDEM-X images, an ALS based DTM, and 7-10 m sample plots from the Swedish National Forest Inventory (NFI) in order to create a nationwide pixel product of stem volume.
Proceedings ArticleDOI
Biomass L2 Prototype Processor: Current Status
Francesco Banda,Stefano Tebaldini,Thuy Le Toan,Davide Giudici,Shaun Quegan,Klaus Scipal,Kostas Papathanassiou,Lars M. H. Ulander,Ludovic Villard,Maciej J. Soja,Mauro Mariotti d'Alessandro +10 more
TL;DR: The current processor implementation and validation activities of the L2 team will be described and the development of ground cancellation has proved to be huge value, since it removes from the data the effects of environmental variability and contributions unrelated to the forest carried in the ground scattering.
Proceedings ArticleDOI
Merging of the stereogrammetry and interferometry techniques as relative bandwidth grows. Illustration with VHF Carabas SAR images
TL;DR: As critical baseline increases with both wavelength and bandwidth, low frequency and/or wide band SAR systems have less stringent constraint for interferometric coherence, which is especially worthy for airborne acquisitions.
Proceedings ArticleDOI
Evaluating VHF-band SAR autofocus algorithms using a forest backscatter model
A. Wyholt,Lars M. H. Ulander +1 more
TL;DR: An autofocus method developed for the Fast Factorized Back-Projection (FFBP) algorithm in simulated scenarios is assessed and it is concluded that the matching error increases with increased number of trees per resolution cell but can be restored with a larger image size in the correlation measurements.
Proceedings ArticleDOI
BIOMASS Level-2 Products - Part I: Rationale and Applications
Lars M. H. Ulander,Mauro Mariotti d'Alessandro,Francesco Banda,Davide Giudici,Maciej J. Soja,Shaun Quegan,Kostas Papathanassiou,Stefano Tebaldini,Thuy Le Toan,Ludovic Villard,Bjorn Rommen,Klaus Scipal +11 more
TL;DR: In this paper, the authors describe the rationale and development of the estimation techniques for the level-2 data products of the European Space Agency's 7th Earth Explorer BIOMASS mission, which is planned for launch in 2023 and will carry the first-ever P-band synthetic aperture radar (SAR) onboard a satellite.