most citedEnhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms

15 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 6 cited

Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act

Ben Chugg, Nicolas Rothbacher, Alex Feng +2

This paper introduces a new, highly consequential setting for the use of computer vision for environmental sustainability. Concentrated Animal Feeding Operations (CAFOs) (aka inten…

cs.CV2021★ 1 cited

Mapping industrial poultry operations at scale with deep learning and aerial imagery

Caleb Robinson, Ben Chugg, Brandon Anderson +2

Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S. Government Accountabilit…

cs.LG2021★ 2 cited

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits

Ben Chugg, Daniel E. Ho

In many public health settings, there is a perceived tension between allocating resources to known vulnerable areas and learning about the overall prevalence of the problem. Inspir…

cs.CV2021★ 15 cited

Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms

Ben Chugg, Brandon Anderson, Seiji Eicher +2

Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections. Advances in remote…

cs.CV2021★ 1 cited

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres +2

Longitudinal studies are vital to understanding dynamic changes of the planet, but labels (e.g., buildings, facilities, roads) are often available only for a single point in time.…