Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1. - Derrick Bonafilia; Beth Tellman; Tyler Anderson; Erica Issenberg (CVPR Workshops, 2020)

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 (IGARSS, 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 (WACV, 2021)

Leveraging convolutional neural networks for semantic segmentation of global floods with PlanetScope imagery. - Nicholas R. Leach; Philip Popien; Maxwell C. Goodman; Beth Tellman (IGARSS, 2022)

Flood Monitoring Using Enhanced Resolution Passive Microwave Data: A Test Case over Bangladesh. - Paolo Colosio; Marco Tedesco; Elizabeth Tellman (Remote. Sens., 2022)

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 (CVPR Workshops, 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 (IGARSS, 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 002; Upmanu Lall; Marco Tedesco; Michael S. Steckler; Paolo Colosio; Daniel E. Osgood; Melody Braun; et al. (CoRR, 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)

A data pedigree system to support geospatial analyses of human-environment interactions in data poor contexts. - Nicholas R. Magliocca; Carter D. Sink; Jennifer A. Devine; Matthew E. Fagan; Bernardo Aguilar-González; Kendra McSweeney; Rohit Mukherjee; Erik A. Nielsen; Steven E. Sesnie; Beth Tellman; Elise Arellano-Thompson (Int. J. Geogr. Inf. Sci., 2025)