Barton A. Forman
Orcid: 0000-0001-6410-9978
According to our database1,
Barton A. Forman
authored at least 15 papers
between 2014 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Estimation of Snow Mass Information via Assimilation of C-Band Synthetic Aperture Radar Backscatter Observations Into an Advanced Land Surface Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Exploring the Spatiotemporal Coverage of Terrestrial Snow Mass Using a Suite of Satellite Constellation Configurations.
Remote. Sens., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Prediction of Active Microwave Backscatter Over Snow-Covered Terrain Across Western Colorado Using a Land Surface Model and Support Vector Machine Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Passive Microwave Brightness Temperature Assimilation to Improve Snow Mass Estimation Across Complex Terrain in Pakistan, Afghanistan, and Tajikistan.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
Evaluation of GEOS-Simulated L-Band Microwave Brightness Temperature Using Aquarius Observations over Non-Frozen Land across North America.
Remote. Sens., 2020
Diagnostic Analysis of a Data Assimilation Framework for Improving Snow Mass Estimation in Complex Terrain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia.
Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model.
Remote. Sens., 2018
2017
Atmospheric and Forest Decoupling of Passive Microwave Brightness Temperature Observations Over Snow-Covered Terrain in North America.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Integration of satellite-based passive microwave brightness temperature observations and an ensemble-based land data assimilation framework to improve snow estimation in forested regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2015
Using a Support Vector Machine and a Land Surface Model to Estimate Large-Scale Passive Microwave Brightness Temperatures Over Snow-Covered Land in North America.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
2014
Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2014