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Found 7 papers, 3 papers with code
HyperionSolarNet: Solar Panel Detection from Aerial Images
The energy sector is the single largest contributor to climate change and many efforts are focused on reducing dependence on carbon-emitting power plants and moving to renewable energy sources, such as solar power.
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources
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.
Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations
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.
High-resolution global irrigation prediction with Sentinel-2 30m data
An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts.
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability.
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
Accurate short-term PV power prediction enables operators to maximize the amount of power obtained from PV panels and safely reduce the reserve energy needed from fossil fuel sources.
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)
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.
