123 citations · 529 across the 19 of their papers we have counts for
5 papers · 1 filter
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling
Chenlin Meng, Enci Liu, Willie Neiswanger +4
Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-the-ground survey data collection in many environmental and socioeconomic monitori…
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta +2
In many regions of the world, sparse data on key economic outcomes inhibits the development, targeting, and evaluation of public policy. We demonstrate how advancements in satellit…
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…
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He, Dingjie Wang, Nicholas Lai +5
High-resolution satellite imagery has proven useful for a broad range of tasks, including measurement of global human population, local economic livelihoods, and biodiversity, amon…