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Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.

S. Ge, E. Tomppo, Y. Rauste, R. McRoberts, J. Praks, H. Gu, W. Su, and O. Antropov. Remote. Sens., 15 (14): 3489 (July 2023)

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Erkki Hollo

Erkki Leikola

Erkki Pehkonen

Viktor Erkkila

Erkki Estola

Other publications of authors with the same name

Linear unmixing of MODIS albedo composites to infer subpixel land cover type albedos.N. Kuusinen, E. Tomppo, and F. Berninger. Int. J. Appl. Earth Obs. Geoinformation, (2013)Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.S. Ge, E. Tomppo, Y. Rauste, R. McRoberts, J. Praks, H. Gu, W. Su, and O. Antropov. Remote. Sens., 15 (14): 3489 (July 2023)Detection of Forest Windstorm Damages with Multitemporal SAR Data - A Case Study: Finland.E. Tomppo, G. Ronoud, O. Antropov, H. Hytönen, and J. Praks. Remote. Sens., 13 (3): 383 (2021)Editorial Summary, Remote Sensing Special Issue Ädvances in Remote Sensing for Global Forest Monitoring".E. Tomppo, G. Wang, J. Praks, R. McRoberts, and L. Waser. Remote. Sens., 13 (4): 597 (2021)Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data.S. Ge, E. Tomppo, Y. Rauste, W. Su, H. Gu, J. Praks, and O. Antropov. IGARSS, page 4509-4512. IEEE, (2020)First Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity.M. Poorazimy, S. Shataee, H. Aghababaei, E. Tomppo, and J. Praks. Remote. Sens., 15 (3): 555 (February 2023)Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment.E. Tomppo, O. Antropov, and J. Praks. Remote. Sens., 11 (21): 2480 (2019)Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data.G. Ronoud, A. Darvishsefat, M. Poorazimy, E. Tomppo, O. Antropov, and J. Praks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods - A Case Study from Dak Nong, Vietnam.H. Nguyen, T. Doan, E. Tomppo, and R. McRoberts. Remote. Sens., 12 (9): 1367 (2020)Nonlocal Multiscale Single Image Statistics From Sentinel-1 SAR Data for High Resolution Bitemporal Forest Wind Damage Detection.T. Manninen, E. Jääskeläinen, and E. Tomppo. IEEE Geosci. Remote. Sens. Lett., (2022)

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Disambiguation of "Tomppo, Erkki"

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Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.

Please choose a person to relate this publication to

Erkki Hollo

Erkki Leikola

Erkki Pehkonen

Viktor Erkkila

Erkki Estola

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tomppo, Erkki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.

Please choose a person to relate this publication to

Erkki Hollo

Erkki Leikola

Erkki Pehkonen

Viktor Erkkila

Erkki Estola

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

Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.