mlsanityData to 7 Oct 2026

OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI

arXiv 2304.02122 ↗First posted 4 Apr 2023cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

Contrails (condensation trails) are line-shaped ice clouds caused by aircraft and are likely the largest contributor of aviation-induced climate change. Contrail avoidance is potentially an inexpensive way to significantly reduce the climate impact of aviation. An automated contrail detection system is an essential tool to develop and evaluate contrail avoidance systems. In this paper, we present a human-labeled dataset named OpenContrails to train and evaluate contrail detection models based on GOES-16 Advanced Baseline Imager (ABI) data. We propose and evaluate a contrail detection model that incorporates temporal context for improved detection accuracy. The human labeled dataset and the contrail detection outputs are publicly available on Google Cloud Storage at gs://goes_contrails_dataset.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 14 of its 42 references that are in the map. First posted on arXiv 4 Apr 2023.

Builds on

14 of 42 references.

References · 14

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  3. 2017Squeeze-and-Excitation Networkscited by 4,763
  4. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  5. 2017Non-local Neural Networkscited by 2,290
  6. 2017Rethinking Atrous Convolution for Semantic Image Segmentationcited by 2,154
  7. 2017The Kinetics Human Action Video Datasetcited by 1,894
  8. 2016Deep Networks with Stochastic Depthcited by 973
  9. 2018Bag of Tricks for Image Classification with Convolutional Neural Networkscited by 430
  10. 2017Learning Spatio-Temporal Representation with Pseudo-3D Residual Networkscited by 386
  11. 2021Revisiting ResNets: Improved Training and Scaling Strategiescited by 158
  12. 2017Deep learning in remote sensing: a reviewcited by 128
2 more
  1. 2019Graph-RISE: Graph-Regularized Image Semantic Embeddingcited by 15
  2. 2021Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Taskscited by 7

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 1; 2025: 1.

4 papers.

  1. 2025GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequencescited by 1
  2. 2023Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough Spacecited by 0
  3. 2023Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global Warmingcited by 0
  4. 2024CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Cloudscited by 0