Martin J. Baur
According to our database1,
Martin J. Baur
authored at least 17 papers
between 2017 and 2025.
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Bibliography
2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy.
Dataset, January, 2024
Proceedings of the IGARSS 2024, 2024
2023
On the Potential of Active and Passive Microwave Remote Sensing for Tracking Seasonal Dynamics of Evapotranspiration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Estimation Of Gravimetric Vegetation Moisture In The Western United States Using A Multi-Sensor Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
Estimation of Vegetation Structure Parameters From SMAP Radar Intensity Observations.
IEEE Trans. Geosci. Remote. Sens., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2018
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Vegetation Effects on Covariations of L-Band Radiometer and C-Band/L-Band Radar Observations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Physics-Based Modeling of Active-Passive Microwave Covariations for Geophysical Retrievals.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Estimating Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Multi-Frequency Estimation of Canopy Penetration Depths from SMAP/AMSR2 Radiometer and Icesat Lidar Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Simulating L/L-band and C/L-band active-passive microwave covariation of crops with the Tor Vergata scattering and emission model for a SMAP-Sentinel 1 combination.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Estimation of vegetation loss coefficients and canopy penetration depths from smap radiometer and ICESat lidar data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017