Bangladesh CNN - LSTM Model Data

This dataset contains the data necessary to reproduce the model results published in the paper "Giezendanner et al. , Inferring the past: a combined CNN--LSTM deep learning framework to fuse satellites for historical inundation mapping, CVPR 23 Earthvision workshop". The code is available on GitHub.

Data and Resources

Additional Info

Field Value
Author Jonathan Giezendanner
Last Updated June 23, 2024, 17:15 (UTC)
Created June 23, 2024, 17:15 (UTC)
Citation Jonathan Giezendanner 2023. Bangladesh CNN - LSTM Model Data. CyVerse Data Commons. DOI 10.25739/be28-vs34
Date created in discovery environment 2023-06-07 08:30:37
Date last modified in discovery environment 2023-06-20 21:08:22
contributor Rohit Mukherjee , Matthew Purri , Mitchell Thomas , Max Mauerman , A.K.M. Saiful Islam , Beth Tellman
identifierType DOI
publisher CyVerse Data Commons
resourceType Training and Validation data for the CNN-LSTM model used in Giezendanner et al. 2023, CVPR