PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
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Abstract (arXiv)
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must be done accurately and in a timely manner to provide operational support. We present PulseSatellite, a collaborative satellite image analysis tool which leverages neural network models that can be retrained on-the fly and adapted to specific humanitarian contexts and geographies. We present two case studies, in mapping shelters and floods respectively, that illustrate the capabilities of PulseSatellite.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2023Improving Human-AI Collaboration With Descriptions of AI Behaviorcited by 36
- 2021Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessmentcited by 1
- 2022Multi-AI Complex Systems in Humanitarian Responsecited by 1
- 2025An Automated Tip-and-Cue Framework for Optimized Satellite Tasking and Visual Intelligencecited by 0
- 2025An Automated Tip-and-Cue Framework for Optimized Satellite Tasking and Visual Intelligence10 Dec 2025
- 2023Improving Human-AI Collaboration With Descriptions of AI Behavior6 Jan 2023
- 2022Multi-AI Complex Systems in Humanitarian Response24 Aug 2022
- 2021Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment4 Nov 2021