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ORCIDMartin D. Maas
Person information
- affiliation: Instituto de Astronomía y Física del Espacio (IAFE), CONICET-UBA, Buenos Aires, Argentina
Other persons with the same name
- Martin Maas 0001
![[0000-0001-7653-8139]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7653-8139")
— Google Brain, Mountain View, CA, USA (and 1 more) - Martin Maas 0003 — CAP debis Division Industrie, Fellbach, Germany
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2020 – today
- 2022
[j7]Martin D. Maas, Mercedes Salvia, Pablo C. Spennemann, María Elena Fernandez-Long:
Robust Multisensor Prediction of Drought-Induced Yield Anomalies of Soybeans in Argentina. IEEE Geosci. Remote. Sens. Lett. 19: 1-4 (2022)
2010 – 2019
- 2019
- [j6]Oscar P. Bruno, Martin Maas:
Shifted equivalent sources and FFT acceleration for periodic scattering problems, including Wood anomalies. J. Comput. Phys. 378: 548-572 (2019) - 2018
- [j5]Gabriel Acosta, Juan Pablo Borthagaray, Oscar P. Bruno, Martin Maas:
Regularity theory and high order numerical methods for the (1D)-fractional Laplacian. Math. Comput. 87(312): 1821-1857 (2018) - 2015
- [j4]Cintia A. Bruscantini, Martin Maas, Francisco Grings, Haydee Karszenbaum:
Land Intercalibration and Drift Monitoring of MWR Radiometer on Board SAC-D/Aquarius. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(12): 5462-5467 (2015) - 2014
- [j3]Verónica Barraza, Francisco Grings, Paolo Ferrazzoli, Mercedes Salvia, Martin Maas, Rashid Rahmoune, Cristina Vittucci, Haydee Karszenbaum:
Monitoring Vegetation Moisture Using Passive Microwave and Optical Indices in the Dry Chaco Forest, Argentina. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 421-430 (2014) - [j2]Cintia Bruscantini, Wade T. Crow, Francisco Grings, Pablo Perna, Martin Maas, Haydee Karszenbaum:
An Observing System Simulation Experiment for the Aquarius/SAC-D Soil Moisture Product. IEEE Trans. Geosci. Remote. Sens. 52(10): 6086-6094 (2014) - 2012
- [j1]Matias Barber, Francisco Grings, Pablo Perna, Marcela Piscitelli, Martin Maas, Cintia Bruscantini, Julio Jacobo-Berlles, Haydee Karszenbaum:
Speckle Noise and Soil Heterogeneities as Error Sources in a Bayesian Soil Moisture Retrieval Scheme for SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(3): 942-951 (2012) - [c1]Matias Barber, Martin Maas, Pablo Perna, Francisco Grings, Haydee Karszenbaum:
A Bayesian approach to retrieve soil parameters from SAR data: effect of prior information. SAR 2012: 85360N
Coauthor Index
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