Andrew L. Molthan
According to our database1,
Andrew L. Molthan
authored at least 13 papers
between 2017 and 2024.
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Bibliography
2024
Post-Tornado Damage Assessment in the Southeastern Region, USA, Using Synthetic Aperture Radar Observations.
Proceedings of the IGARSS 2024, 2024
2023
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets.
Remote. Sens., 2021
Monitoring Weather-Related Hazards Using the HydroSAR Service: Application to the 2020 South Asia Monsoon Season.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Flood Hazard and Risk Assessment of Extreme Weather Events Using Synthetic Aperture Radar and Auxiliary Data: A Case Study.
Remote. Sens., 2020
A Satellite Agnostic Approach to Quantifying Hail Damage Swaths Across The Central United States and Other Agricultural Regions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the Foundations of Data Visualization., 2020
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Applications of a SAR-Based Flood Monitoring Service During Disaster Response and Recovery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Synthetic Aperture Radar and Optical Remote Sensing of Crop Damage Attributed to Severe Weather in the Central United States.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas.
Remote. Sens., 2017