Andrew L. Molthan

According to our database1, Andrew L. Molthan authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset.
CoRR, 2023

Cohesive User Engagement for NASA'S Geodetic SAR Data.
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

Reaching Broad Audiences from a Large Agency Setting.
Proceedings of the Foundations of Data Visualization., 2020

2019
NASA's Next Generation Surface Deformation and Change Observing System Architecture.
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


  Loading...