13 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 13 cited
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf, Jonathan Proctor, Tamma Carleton +5
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-po…
cs.CY2017★ 2 cited
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis
Ian Bolliger, Tamma Carleton, Solomon Hsiang +5
In this project, we build a modular, scalable system that can collect, store, and process millions of satellite images. We test the relative importance of both of the key limitatio…