Multi-modal graph neural networks for localized off-grid weather forecasting
Yang Q., Giezendanner J., Civitarese D. S., Jakubik J., Schmitt E., Chandra A., Vila J., Hohl D., Hill C., Watson C., Wang S.
Preprint, 2024
FloodPlanet: A Dataset to Assess Deep Learning Models Trained on Public versus Commercial Data for Inundation Detection
Zhang Z., Giezendanner J., Melancon A., Mukherjee R., Gurung I., Lall U., Barnard K., Molthan A., Tellman B.
Submitted, n. d.
Urban Flood Dataset: A globally sampled high resolution hand labeled dataset for training and validating flood extent
Mukherjee R., Friedrich H., Tellman B., Giezendanner J., Zhang Z., Islam A.
Submitted, n. d.
A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps
Mukherjee R., Policelli F., Wang R., Tellman B., Sharma P., Zhang Z., Giezendanner J.
Earth System Science Data, 2024
A Comparison of Remote Sensing Approaches to Assess the Devastating May - June 2022 Flooding in Sylhet, Bangladesh
Saunders A., Giezendanner J., Tellman B., Islam A., Bhuyan A., Islam A.K.M. S.
2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping
Giezendanner J., Mukherjee R., Purri M., Thomas M., Mauerman M., Islam A.K.M. S., Tellman B.
Computer Vision and Pattern Recognition Conference (CVPR), EARTHVISION, 2023
A note on the role of seasonal expansions and contractions of the flowing fluvial network on metapopulation persistence
Giezendanner J., Benettin P., Durighetto N., Botter G., Rinaldo A.
Water Resources Research, 2021
Earth and field observations underpin metapopulation dynamics in complex landscapes: Near-term study on carabids
Giezendanner J., Pasetto D., Perez-Saez J., Cerrato C., Viterbi R., Terzago S., Palazzi E., Rinaldo A.
Proceedings of the National Academy of Sciences, 2020
Beyond the patch: on landscape-explicit metapopulation dynamics
Giezendanner J.
PhD Thesis, 2020
On the probabilistic nature of the species-area relation
Zaoli S., Giometto A., Giezendanner J., Maritan A., Rinaldo A.
Journal of Theoretical Biology, 2019
A minimalist model of extinction and range dynamics of virtual mountain species driven by warming temperatures
Giezendanner J., Bertuzzo E., Pasetto D., Guisan A., Rinaldo A.
PLoS One, 2019
Towards 3-D distributed odor source localization: an extended graph-based formation control algorithm for plume tracking
Soares J. M., Marjovi A., Giezendanner J., Kodiyan A., Aguiar A. P., Pascoal A. M., Martinoli A.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Automatic quality assessment of short and long-TE brain tumour MRSI data using novel Spectral Features
de Barros N. P., McKinley R., Giezendanner J., Knecht U., Wiest R., Slotboom J.
Proc. Intl. Soc. Mag. Reson. Med, 2016
Rainfall Forecasting in Burkina Faso Using Bayesian-Wavelet Neural Networks
Giezendanner J.
Master Thesis, 2015