51 citations · 126 across the 7 of their papers we have counts for
15 papers
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Yutong He, William Zhang, Chenlin Meng +3
Automated tracking of urban development in areas where construction information is not available became possible with recent advancements in machine learning and remote sensing. Un…
Wildfire smoke plume segmentation using geostationary satellite imagery
Jeff Wen, Marshall Burke
Wildfires have increased in frequency and severity over the past two decades, especially in the Western United States. Beyond physical infrastructure damage caused by these wildfir…
Using Localized Twitter Activity for Red Tide Impact Assessment
A. Skripnikov, N. Wagner, J. Shafer +3
Red tide blooms of the dinoflagellate Karenia brevis (K. brevis) produce toxic coastal conditions that can impact marine organisms and human health, while also affecting local econ…
Using satellite imagery to understand and promote sustainable development
Marshall Burke, Anne Driscoll, David B. Lobell +1
Accurate and comprehensive measurements of a range of sustainable development outcomes are fundamental inputs into both research and policy. We synthesize the growing literature th…
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Lee, Dylan Grosz, Burak Uzkent +4
Major decisions from governments and other large organizations rely on measurements of the populace's well-being, but making such measurements at a broad scale is expensive and thu…
Efficient Poverty Mapping using Deep Reinforcement Learning
Kumar Ayush, Burak Uzkent, Kumar Tanmay +3
The combination of high-resolution satellite imagery and machine learning have proven useful in many sustainability-related tasks, including poverty prediction, infrastructure meas…