Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. / Rodriguez-Fernandez, N. J.; Mialon, A.; Mermoz, S.; Bouvet, A.; Richaume, P.; Al Bitar, A.; Al-Yaari, A.; Brandt, M.; Kaminski, T.; Toan, T. Le; Kerr, Y. H.; Wigneron, J. -P.

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. p. 9038-9041 (Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Rodriguez-Fernandez, NJ, Mialon, A, Mermoz, S, Bouvet, A, Richaume, P, Al Bitar, A, Al-Yaari, A, Brandt, M, Kaminski, T, Toan, TL, Kerr, YH & Wigneron, J-P 2018, Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 9038-9041. https://doi.org/10.1109/IGARSS.2018.8517558

APA

Rodriguez-Fernandez, N. J., Mialon, A., Mermoz, S., Bouvet, A., Richaume, P., Al Bitar, A., Al-Yaari, A., Brandt, M., Kaminski, T., Toan, T. L., Kerr, Y. H., & Wigneron, J. -P. (2018). Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 9038-9041). IEEE. Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2018.8517558

Vancouver

Rodriguez-Fernandez NJ, Mialon A, Mermoz S, Bouvet A, Richaume P, Al Bitar A et al. Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2018. p. 9038-9041. (Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium). https://doi.org/10.1109/IGARSS.2018.8517558

Author

Rodriguez-Fernandez, N. J. ; Mialon, A. ; Mermoz, S. ; Bouvet, A. ; Richaume, P. ; Al Bitar, A. ; Al-Yaari, A. ; Brandt, M. ; Kaminski, T. ; Toan, T. Le ; Kerr, Y. H. ; Wigneron, J. -P. / Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. pp. 9038-9041 (Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium).

Bibtex

@inproceedings{6722a94f089646588a1172991e870339,
title = "Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass",
keywords = "L-Band, Vegetation Optical Depth, Soil Moisture and Ocean Salinity satellite, Above Ground Biomass",
author = "Rodriguez-Fernandez, {N. J.} and A. Mialon and S. Mermoz and A. Bouvet and P. Richaume and {Al Bitar}, A. and A. Al-Yaari and M. Brandt and T. Kaminski and Toan, {T. Le} and Kerr, {Y. H.} and Wigneron, {J. -P}",
year = "2018",
doi = "10.1109/IGARSS.2018.8517558",
language = "English",
series = "Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium",
pages = "9038--9041",
booktitle = "IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass

AU - Rodriguez-Fernandez, N. J.

AU - Mialon, A.

AU - Mermoz, S.

AU - Bouvet, A.

AU - Richaume, P.

AU - Al Bitar, A.

AU - Al-Yaari, A.

AU - Brandt, M.

AU - Kaminski, T.

AU - Toan, T. Le

AU - Kerr, Y. H.

AU - Wigneron, J. -P

PY - 2018

Y1 - 2018

KW - L-Band

KW - Vegetation Optical Depth

KW - Soil Moisture and Ocean Salinity satellite

KW - Above Ground Biomass

U2 - 10.1109/IGARSS.2018.8517558

DO - 10.1109/IGARSS.2018.8517558

M3 - Article in proceedings

T3 - Igarss 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

SP - 9038

EP - 9041

BT - IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

ER -

ID: 221836755