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Paper · 2312.03207 · NeurIPS · 2023

Satellite Imagery and AI: A New Era in Ocean Conservation, from Research to Deployment and Impact (Version. 2.0)

Favyen Bastani, Patrick Beukema, Yawen Zhang, Piper Wolters, Henry Herzog, Joe Ferdinando

arXiv · PDF · Open in the Atlas

Code that ran

We lifted 7 functions out of this paper's own repositories and ran 6 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.

RepositoryRoleRan
allenai/vessel-detection-sentinels canonical 6 of 7
FunctionStatusWhere it lives
accuracy Ran allenai/vessel-detection-sentinels/src/training/evaluate.py
code served (permissive licence) · get_code("c28e56d8451a4f20")
compute_loc_performance Ran allenai/vessel-detection-sentinels/src/training/metric.py
code served (permissive licence) · get_code("953767f0d891748c")
get_corners Ran allenai/vessel-detection-sentinels/download_imagery.py
code served (permissive licence) · get_code("c748d38a2f630850")
has_intersection Ran allenai/vessel-detection-sentinels/download_imagery.py
code served (permissive licence) · get_code("35bc549ed7a124ca")
nms Ran allenai/vessel-detection-sentinels/src/inference/pipeline.py
code served (permissive licence) · get_code("0650b22efd37ddba")
score Ran allenai/vessel-detection-sentinels/src/training/metric.py
code served (permissive licence) · get_code("eb4e28dc5f3a8176")
produce_overlaps Not yet run allenai/vessel-detection-sentinels/download_imagery.py
code served (permissive licence) · get_code("475ebc323c294cff")

Repositories linked to this paper

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Abstract

Illegal, unreported, and unregulated (IUU) fishing poses a global threat to ocean habitats. Publicly available satellite data offered by NASA, the European Space Agency (ESA), and the U.S. Geological Survey (USGS), provide an opportunity to actively monitor this activity. Effectively leveraging satellite data for maritime conservation requires highly reliable machine learning models operating globally with minimal latency. This paper introduces four specialized computer vision models designed for a variety of sensors including Sentinel-1 (synthetic aperture radar), Sentinel-2 (optical imagery), Landsat 8-9 (optical imagery), and Suomi-NPP/NOAA-20/NOAA-21 (nighttime lights). It also presents best practices for developing and deploying global-scale real-time satellite based computer vision. All of the models are open sourced under permissive licenses. These models have all been deployed in Skylight, a real-time maritime monitoring platform, which is provided at no cost to users worldwide. 1

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