1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2020
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
Sagar Vaze, James Foley, Mohamed Seddiq +2
The analysis of satellite imagery will prove a crucial tool in the pursuit of sustainable development. While Convolutional Neural Networks (CNNs) have made large gains in natural i…
eess.IV2020★ 1 cited
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework
Conrad James Foley, Sagar Vaze, Mohamed El Amine Seddiq +2
Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases…