Brian Freitag

According to our database, Brian Freitag authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Pilot Study of 10-Day Composites From the NASA Harmonized Landsat and Sentinel-2 Images for Terrestrial Monitoring.

Junchang Ju, Christopher S. R. Neigh, Brian Freitag, Qiang Zhou, Madhu Sridhar, Jeffrey G. Masek

Proceedings of the IGARSS 2024, 2024

The Visualization, Exploration, and Data Analysis (VEDA) Platform: A Modular, Open Platform Lowering the Barrier to entry to Cloud Computing.

Brian Freitag, Manil Maskey, Aimee Barciauskas, Jonas Solvsteen, James Colliander, James Munroe

Proceedings of the IGARSS 2024, 2024

2023

Generative Framework Approach to Match Landsat and Sentinel-2 Data.

Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study.

Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2020

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System.

Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Employing Deep Learning to Enable Visual Exploration of Earth Science Events.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment.

Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Alternative Datasets for Identification of Earth Science Events and Data.

Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019