Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources

1 code implementation • 8 Aug 2022 • Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J Reed

Accurately estimating the snowpack in key mountainous basins is critical for water resource managers to make decisions that impact local and global economies, wildlife, and public policy.

High-resolution global irrigation prediction with Sentinel-2 30m data

no code implementations • 9 Dec 2020 • Weixin, Wu, Sonal Thakkar, Will Hawkins, Puya Vahabi, Alberto Todeschini

An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts.

Clustering Vocal Bursts Intensity Prediction

Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)

no code implementations • 23 Jun 2023 • Rumi Nakagawa, Mary Chau, John Calzaretta, Trevor Keenan, Puya Vahabi, Alberto Todeschini, Maoya Bassiouni, Yanghui Kang

Prior machine learning studies on upscaling \textit{in situ} GPP to global wall-to-wall maps at sub-daily time steps faced limitations such as lack of input features at higher temporal resolutions and significant missing values.

Feature Importance Time Series