mlsanityData to 14 Oct 2026

Temporal Modelling for Burn Scars on Sentinel-3

arXiv 2609.34596 ↗First posted 28 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

Rapid and accurate burn scar delineation from satellite imagery is essential for post-fire damage assessment. Sentinel-3 OLCI, with daily revisit and 21 spectral bands, suits rapid mapping, yet most pipelines treat acquisitions independently, leaving the pre/post-fire change signal unexploited. We present a dataset of 246 wildfire activations (2016-2025) from the Copernicus Emergency Management Service, with Sentinel-3 OLCI temporally paired acquisitions. We benchmark spatial and temporal (ConvLSTM-augmented) variants of three backbones (U-Net, SegFormer, ConvNeXt-UPerNet) under two input modes and spectral configurations. Temporal modeling improves segmentation only when pre-fire frames are included, and a 5-band subset matches the full 21-band OLCI configuration.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 25 references that are in the map. First posted on arXiv 28 Sep 2026.

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11 of 25 references.

References · 11

  1. 2022A ConvNet for the 2020scited by 3,579
  2. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,940
  3. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,436
  4. 2018Unified Perceptual Parsing for Scene Understandingcited by 1,271
  5. 2021Remote Sensing Image Change Detection with Transformerscited by 306
  6. 2021Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networkscited by 143
  7. 2019Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attentioncited by 71
  8. 2018Multi-Temporal Land Cover Classification with Sequential Recurrent Encoderscited by 61
  9. 2024CaBuAr: California Burned Areas dataset for delineationcited by 9
  10. 2023FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2cited by 4
  11. 2023Robust Burned Area Delineation through Multitask Learningcited by 3

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