Beth Tellman

According to our database, Beth Tellman authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance.

Mitchell Thomas, Elizabeth Tellman, Daniel E. Osgood, Ben DeVries, A. K. M. Saiful Islam, Michael S. Steckler, Maxwell C. Goodman, Maruf Billah

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance.

Tejit Pabari, Beth Tellman, Giannis Karamanolakis, Mitchell Thomas, Max Mauerman, Eugene Wu, Upmanu Lall, Marco Tedesco, Michael S. Steckler, Paolo Colosio, Daniel E. Osgood, Melody Braun, Jens de Bruijn, Shammun Islam

CoRR, 2023

A Comparison Of Remote Sensing Approaches To Assess The Devastating May-June 2022 Flooding In Sylhet, Bangladesh.

Alex Saunders, Jonathan Giezendanner, Beth Tellman, Ariful Islam, Arifuzzaman Bhuyan, A. K. M. Saiful Islam

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

Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping.

Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Flood Monitoring Using Enhanced Resolution Passive Microwave Data: A Test Case over Bangladesh.

Paolo Colosio, Marco Tedesco, Elizabeth Tellman

Remote. Sens., 2022

Leveraging convolutional neural networks for semantic segmentation of global floods with PlanetScope imagery.

Nicholas R. Leach, Philip Popien, Maxwell C. Goodman, Beth Tellman

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement.

Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Towards Frequent Flood Mapping with the Capella Sar System. The 2021 Eastern Australia Floods Case.

Nestor Yague-Martinez, Nicholas R. Leach, Antara Dasgupta, Elizabeth Tellman, Jason S. Brown

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1.

Derrick Bonafilia, Beth Tellman, Tyler Anderson, Erica Issenberg

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020