5 citations · 5 across the 7 of their papers we have counts for
10 papers
Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT
Vishal V. Batchu, Michelangelo Conserva, Alex Wilson +5
Anthropogenic methane (CH4) point sources are critical drivers of near-term climate forcing, safety hazards, and system-inefficiencies. Space-based imaging spectroscopy is an emerg…
Estimating high-resolution albedo for urban applications
David Fork, Elizabeth Jane Wesley, Salil Banerjee +18
Implementation of cool roofs is a high-impact pathway for mitigating heat at both global and city scales. However, while albedo estimates derived from Sentinel-2 are free and globa…
Mapping Farmed Landscapes from Remote Sensing
Michelangelo Conserva, Alex Wilson, Charlotte Stanton +2
Effective management of agricultural landscapes is critical for meeting global biodiversity targets, but efforts are hampered by the absence of detailed, large-scale ecological map…
Agricultural Landscape Understanding At Country-Scale
Radhika Dua, Aditi Agarwal, Aishwarya Jayagopal +12
Comprehensive agricultural landscape understanding is critical for addressing global challenges in food security, climate change, and resource management. This requires mapping not…
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
Vishal Batchu, Alex Wilson, Betty Peng +5
The transition to renewable energy, particularly solar, is key to mitigating climate change. Google's Solar API aids this transition by estimating solar potential from aerial image…
Cross Modal Distillation for Flood Extent Mapping
Shubhika Garg, Ben Feinstein, Shahar Timnat +4
The increasing intensity and frequency of floods is one of the many consequences of our changing climate. In this work, we explore ML techniques that improve the flood detection mo…
A Machine Learning Data Fusion Model for Soil Moisture Retrieval
Vishal Batchu, Grey Nearing, Varun Gulshan
We develop a deep learning based convolutional-regression model that estimates the volumetric soil moisture content in the top ~5 cm of soil. Input predictors include Sentinel-1 (a…
"How to rate a video game?" - A prediction system for video games based on multimodal information
Vishal Batchu, Varshit Battu, Murali Krishna Reddy +1
Video games have become an integral part of most people's lives in recent times. This led to an abundance of data related to video games being shared online. However, this comes wi…
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu, Vishal Batchu, Rohit Gajawada +2
Binarization is an extreme network compression approach that provides large computational speedups along with energy and memory savings, albeit at significant accuracy costs. We in…
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Ameya Prabhu, Vishal Batchu, Sri Aurobindo Munagala +2
Deep neural networks are highly effective at a range of computational tasks. However, they tend to be computationally expensive, especially in vision-related problems, and also hav…