High-resolution global irrigation prediction with Sentinel-2 30m data. - Weixin Wu; Sonal Thakkar; Will Hawkins; Puya Vahabi; Alberto Todeschini (CoRR, 2020)

Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery. - Chitra Agastya; Sirak Ghebremusse; Ian Anderson 004; Colorado Reed; Hossein Vahabi; Alberto Todeschini (CoRR, 2021)

Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations. - Sean Campos; Devesh Khandelwal; Shwetha C. Nagaraj; Fred Nugen; Alberto Todeschini (ACM Multimedia, 2022)

HyperionSolarNet: Solar Panel Detection from Aerial Images. - Poonam Parhar; Ryan Sawasaki; Alberto Todeschini; Colorado Reed; Hossein Vahabi; Nathan Nusaputra; Felipe Vergara (CoRR, 2022)

SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data. - Dhileeban Kumaresan; Richard Wang; Ernesto Martinez; Richard Cziva; Alberto Todeschini; Colorado J. Reed; Hossein Vahabi (CoRR, 2022)

Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. - Malachy Moran; Kayla Woputz; Derrick Hee; Manuela Girotto; Paolo D'Odorico; Ritwik Gupta; Daniel Feldman; Puya Vahabi; Alberto Todeschini; Colorado J. Reed (CoRR, 2022)

Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT). - Rumi Nakagawa; Mary Chau; John Calzaretta; Trevor Keenan; Puya Vahabi; Alberto Todeschini; Maoya Bassiouni; Yanghui Kang (CoRR, 2023)