Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Tree species classification using plant functional traits from LiDAR and hyperspectral data.

Y. Shi, A. Skidmore, T. Wang, S. Holzwarth, U. Heiden, N. Pinnel, X. Zhu, and M. Heurich. Int. J. Applied Earth Observation and Geoinformation, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Uta Bösch University of Stuttgart

Other publications of authors with the same name

Overview of terrestrial imaging spectroscopy missions.K. Staenz, A. Mueller, and U. Heiden. IGARSS, page 3502-3505. IEEE, (2013)The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation.L. Guanter, H. Kaufmann, K. Segl, S. Foerster, C. Rogaß, S. Chabrillat, T. Küster, A. Hollstein, G. Rossner, C. Chlebek and 26 other author(s). Remote Sensing, 7 (7): 8830-8857 (2015)Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling.S. Malec, D. Rogge, U. Heiden, A. Sanchez-Azofeifa, M. Bachmann, and M. Wegmann. Remote Sensing, 7 (9): 11776-11800 (2015)The user interface of the EnMAP satellite mission.U. Heiden, J. Gredel, N. Pinnel, H. Muhle, I. Pengler, K. Reissig, D. Dietrich, T. Heinen, T. Storch, S. Eberle and 1 other author(s). IGARSS, page 4268-4271. IEEE, (2010)Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model.Z. Wang, A. Skidmore, R. Darvishzadeh, U. Heiden, M. Heurich, and T. Wang. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 3172-3182 (2015)The hyperspectral sensor DESIS on MUSES: Processing and applications.G. Kerr, J. Avbelj, E. Carmona, A. Eckardt, B. Gerasch, L. Graham, B. Gunther, U. Heiden, D. Krutz, H. Krawczyk and 5 other author(s). IGARSS, page 268-271. IEEE, (2016)Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey.W. Heldens, U. Heiden, T. Esch, E. Stein, and A. Müller. Remote Sensing, 3 (9): 1817-1846 (2011)The hyperspectral sensor DESIS on MUSES: Processing and applications.G. Kerr, J. Avbelj, E. Carmona, A. Eckardt, B. Gerasch, L. Graham, B. Günther, U. Heiden, D. Krutz, H. Krawczyk and 5 other author(s). IGARSS, page 268-271. IEEE, (2016)Spectral-spatial joint sparsity unmixing of hyperspectral data using overcomplete dictionaries.J. Bieniarz, E. Aguilera, X. Zhu, R. Müller, U. Heiden, and P. Reinartz. WHISPERS, page 1-4. IEEE, (2014)Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS).K. Alonso, M. Bachmann, K. Burch, E. Carmona, D. Cerra, R. los Reyes, D. Dietrich, U. Heiden, A. Hölderlin, J. Ickes and 10 other author(s). Sensors, 19 (20): 4471 (2019)

PUMA

Disambiguation of "Heiden, Uta"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Tree species classification using plant functional traits from LiDAR and hyperspectral data.

Please choose a person to relate this publication to

Uta Bösch University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Heiden, Uta"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tree species classification using plant functional traits from LiDAR and hyperspectral data.

Please choose a person to relate this publication to

Uta Bösch University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Tree species classification using plant functional traits from LiDAR and hyperspectral data.