4 citations · 8 across the 7 of their papers we have counts for
7 papers
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)
Rumi Nakagawa, Mary Chau, John Calzaretta +5
Reliable estimates of Gross Primary Productivity (GPP), crucial for evaluating climate change initiatives, are currently only available from sparsely distributed eddy covariance to…
Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations
Devesh Khandelwal, Sean Campos, Shwetha Nagaraj +2
In this paper, we demonstrate a unique recipe to enhance the effectiveness of audio machine learning approaches by fusing pre-processing techniques into a deep learning model. Our…
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources
Malachy Moran, Kayla Woputz, Derrick Hee +7
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…
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
Dhileeban Kumaresan, Richard Wang, Ernesto Martinez +4
When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, u…
HyperionSolarNet: Solar Panel Detection from Aerial Images
Poonam Parhar, Ryan Sawasaki, Alberto Todeschini +4
With the effects of global climate change impacting the world, collective efforts are needed to reduce greenhouse gas emissions. The energy sector is the single largest contributor…
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
Chitra Agastya, Sirak Ghebremusse, Ian Anderson +3
Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability. Achiev…
High-resolution global irrigation prediction with Sentinel-2 30m data
Weixin, Wu, Sonal Thakkar +3
An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts. Irrigation is highly energy-intensive, and as population growt…