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2020 – today
- 2023
[j2]Mitchell Thomas
, Elizabeth Tellman, Daniel E. Osgood, Ben DeVries, A. K. M. Saiful Islam, Michael S. Steckler, Maxwell C. Goodman, Maruf Billah:
A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2589-2604 (2023)- [c6]Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman:
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. CVPR Workshops 2023: 2155-2165 - [c5]Alex Saunders, Jonathan Giezendanner, Beth Tellman, Ariful Islam, Arifuzzaman Bhuyan, A. K. M. Saiful Islam:
A Comparison Of Remote Sensing Approaches To Assess The Devastating May-June 2022 Flooding In Sylhet, Bangladesh. IGARSS 2023: 452-455 - [i3]Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman:
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. CoRR abs/2305.00640 (2023) - [i2]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:
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance. CoRR abs/2312.14943 (2023) - 2022
- [j1]Paolo Colosio, Marco Tedesco, Elizabeth Tellman:
Flood Monitoring Using Enhanced Resolution Passive Microwave Data: A Test Case over Bangladesh. Remote. Sens. 14(5): 1180 (2022) - [c4]Nicholas R. Leach, Philip Popien, Maxwell C. Goodman, Beth Tellman:
Leveraging convolutional neural networks for semantic segmentation of global floods with PlanetScope imagery. IGARSS 2022: 314-317 - 2021
- [c3]Nestor Yague-Martinez, Nicholas R. Leach, Antara Dasgupta, Elizabeth Tellman, Jason S. Brown:
Towards Frequent Flood Mapping with the Capella Sar System. The 2021 Eastern Australia Floods Case. IGARSS 2021: 6174-6177 - [c2]Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson:
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. WACV 2021: 111-122 - 2020
- [c1]Derrick Bonafilia, Beth Tellman, Tyler Anderson, Erica Issenberg:
Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1. CVPR Workshops 2020: 835-845 - [i1]Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson:
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. CoRR abs/2010.05309 (2020)
Coauthor Index
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