In review
M. J. Soja, M. Santoro, F. Banda, S. Tebaldini, M. Lisiewicz, K. Sterenczak, S. Quegan, S. Janssen, and J. Reiche,
Sub-hectare resolution mapping of forest biomass with global DEM data and a coarse digital terrain model,
in review for Remote Sensing of Environment
Preprint available here
2021
M. J. Soja, M. Karlson, J. Bayala, H. R. Bazie, J. Sanou, B. Tankaoano, L. E. B. Eriksson, H. Reese, M. Ostwald, and Lars M. H. Ulander,
Mapping Tree Height in Burkina Faso Parklands with TanDEM-X,
Remote Sensing,
2021
Soja2021_MTHBF.pdf
2020
M. J. Soja, S. Quegan, M. M. d’Alessandro, F. Banda, K. Scipal, S. Tebaldini, and L. M. H. Ulander,
Mapping Above Ground Biomass in Tropical Forests with Ground-Cancelled P-band SAR and Limited Reference Data,
Remote Sensing of Environment,
2020
Soja2020_MAGBT_in_press.pdf
H. J. Persson, M. J. Soja, J. E. S. Fransson, and L. M. H. Ulander,
National Forest Biomass Mapping using the Two-Level Model,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2020
Persson2020_NFBMT.pdf
I. Huuva, H. J. Persson, M. J. Soja, J. Wallerman, L. M. H. Ulander, and J. E. S. Fransson,
Measurements of biomass change in a hemi-boreal forest based on multi-polarization L- and P-band SAR backscatter,
Canadian Journal of Remote Sensing,
2020
Huuva2020_PBCHB.pdf
M. M. d’Alessandro, S. Tebaldini, M. J. Soja, L. M. H. Ulander, S. Quegan, and K. Scipal,
Interferometric Ground Cancellation for Above Ground Biomass Estimation,
IEEE Transactions on Geoscience and Remote Sensing,
2020
Dalessandro2020_IGCAG.pdf
F. Banda, M. M. d’Alessandro, D. Giudici, T. Le Toan, K. Papathanassiou, S. Quegan, G. Riembauer, K. Scipal, M. J. Soja, S. Tebaldini, L. M. H. Ulander, and L. Villard,
The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation,
Remote Sensing,
2020
Banda2020_BIOMA.pdf
M. A. Stelmaszczuk-Górska, E. Aguilar-Moreno, S. Casteleyn, D. Vandenbroucke, M. Miguel-Lago, C. Dubois, R. Lemmens, G. Vancauwenberghe, M. Olijslagers, S. Lang, F. Albrecht, M. Belgiu, V. Krieger, T. Jagdhuber, A., Fluhrer, M. J. Soja, A. Mouratidis, H. J. Persson, R. Colombo, and G. Masiello,
Body of Knowledge for the Earth Observation and Geoinformation Sector – A Basis for Innovative Skills Development,
ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
2020
StelmaszczukGorska2020_BKEOG.pdf
2019
S. Quegan, T. Le Toan, J. Chave, J. Dall, J.-F. Exbrayat, M. M. D’Alessandro, P. Paillou, K. Papathanassiou, F. Rocca, S. Saatchi, K. Scipal, H. Shugart, T. L. Smallman, M. J. Soja, S. Tebaldini, L. Ulander, L. Villard, and M. Williams,
The European Space Agency BIOMASS mission: measuring forest above-ground biomass from space,
Remote Sensing of Environment,
2019,
Quegan2019_ESABI.pdf
2018
M. J. Soja, H. J. Persson, and L. M. H. Ulander,
Modelling and Detection of Deforestation and Forest Growth in Multitemporal TanDEM-X Data,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2018,
Soja2018_MDDFG.pdf
E. Blomberg, L. Ferro-Famil, M. J. Soja, L. M. H. Ulander, and S. Tebaldini,
Forest Biomass Retrieval from L-band SAR using Tomographic Ground Backscatter Removal,
IEEE Geoscience and Remote Sensing Letters,
2018,
Blomberg2018_FBRLS.pdf
L. M. H. Ulander, A. R. Monteith, M. J. Soja, and L. E. B. Eriksson,
Multi-port Vector Network Analyzer Radar for Tomographic Forest Scattering Measurements,
IEEE Geoscience and Remote Sensing Letters,
2018,
Ulander2018_MVNAR.pdf
2017
M. J. Soja, J. I. H. Askne, and L. M. H. Ulander,
Estimation of Boreal Forest Properties from TanDEM-X Data using Inversion of the Interferometric Water Cloud Model,
IEEE Geoscience and Remote Sensing Letters,
2017,
Soja2017_EBFPT.pdf
J. I. H. Askne, M. J. Soja, and L. M. H. Ulander,
Biomass Estimation in a Boreal Forest from TanDEM-X Data, Lidar DTM, and the Interferometric Water Cloud Model,
Remote Sensing of Environment,
2017
Askne2017_BEBFT.pdf
H. J. Persson, H. Olsson, M. J. Soja, L. M. H. Ulander, and J. E. S. Fransson,
Experiences from large-scale forest mapping of Sweden using TanDEM-X data,
Remote Sensing,
2017,
Persson2017_ELSFM.pdf
2015
M. J. Soja, H. Persson, and L. M. H. Ulander,
Estimation of Forest Biomass from Two-Level Model Inversion of Single-Pass InSAR Data,
IEEE Transactions on Geoscience and Remote Sensing,
2015,
Soja2015_EFBTL.pdf
(errata)
M. J. Soja, H. Persson, and L. M. H. Ulander,
Estimation of Forest Height and Canopy Density from a Single InSAR Correlation
Coefficient,
IEEE Geoscience and Remote Sensing Letters,
2015,
Soja2015_EFHCD.pdf
2013
M. J. Soja, G. Sandberg, and L. M. H. Ulander,
Regression-Based Retrieval of Boreal Forest Biomass in Sloping Terrain using P-band SAR Backscatter Intensity Data,
IEEE Transactions on Geoscience and Remote Sensing,
2013,
Soja2013_RBRBF.pdf
J. I. H. Askne, J. E. S. Fansson, M. Santoro, M. J. Soja, and L. M. H. Ulander,
Model-Based Biomass Estimation of a Hemi-Boreal Forest from Multitemporal TanDEM-X Acquisitions,
Remote Sensing,
2013,
Askne2013_MBBEH.pdf