RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
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Abstract (arXiv)
Remote sensing is critical for disaster monitoring, yet existing datasets lack temporal image pairs and detailed textual annotations. While single-snapshot imagery dominates current resources, it fails to capture dynamic disaster impacts over time. To address this gap, we introduce the Remote Sensing Change Caption (RSCC) dataset, a large-scale benchmark comprising 62,351 pre-/post-disaster image pairs (spanning earthquakes, floods, wildfires, and more) paired with rich, human-like change captions. By bridging the temporal and semantic divide in remote sensing data, RSCC enables robust training and evaluation of vision-language models for disaster-aware bi-temporal understanding. Our results highlight RSCC's ability to facilitate detailed disaster-related analysis, paving the way for more accurate, interpretable, and scalable vision-language applications in remote sensing. Code and dataset are available at https://github.com/Bili-Sakura/RSCC.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 44 of its 73 references that are in the map. First posted on arXiv 2 Sep 2025.
Builds on
44 of 73 references.
References · 44
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2024Qwen2.5 Technical Reportcited by 4,942
- 2023Improved Baselines with Visual Instruction Tuningcited by 4,418
- 2024Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolutioncited by 4,234
- 2023Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyondcited by 2,224
- 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,834
- 2024Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scalingcited by 1,599
- 2024Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysiscited by 1,413
- 2023Video-LLaVA: Learning United Visual Representation by Alignment Before Projectioncited by 1,402
- 2020BLEURT: Learning Robust Metrics for Text Generationcited by 1,203
- 2023Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decodingcited by 688
- 2024LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Modelscited by 584
32 more
- 2025Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAscited by 521
- 2019Neural Text Generation with Unlikelihood Trainingcited by 503
- 2021Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Modelscited by 463
- 2017Functional Map of the Worldcited by 338
- 2022A Contrastive Framework for Neural Text Generationcited by 225
- 2023What does CLIP know about a red circle? Visual prompt engineering for VLMscited by 218
- 2023RSGPT: A Remote Sensing Vision Language Model and Benchmarkcited by 207
- 2017Exploring Models and Data for Remote Sensing Image Caption Generationcited by 197
- 2024MuirBench: A Comprehensive Benchmark for Robust Multi-image Understandingcited by 188
- 2020FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understandingcited by 181
- 2023RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensingcited by 151
- 2019xBD: A Dataset for Assessing Building Damage from Satellite Imagerycited by 139
- 2024VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understandingcited by 121
- 2024HourVideo: 1-Hour Video-Language Understandingcited by 113
- 2024MLLM can see? Dynamic Correction Decoding for Hallucination Mitigationcited by 88
- 2021S2Looking: A Satellite Side-Looking Dataset for Building Change Detectioncited by 77
- 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understandingcited by 70
- 2024TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Datacited by 70
- 2024MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Modelscited by 67
- 2021The Multi-Temporal Urban Development SpaceNet Datasetcited by 62
- 2025XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?cited by 51
- 2024FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Modelcited by 45
- 2022Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Imagescited by 43
- 2024MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videoscited by 43
- 2023Changes to Captions: An Attentive Network for Remote Sensing Change Captioningcited by 41
- 2022RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessmentcited by 40
- 2024Segment Any Changecited by 35
- 2024Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Surveycited by 23
- 2024G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4ocited by 23
- 2025VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelitycited by 23
- 2025Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Modelscited by 22
- 2024CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Datasetcited by 13
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Citing papers per year: 2025: 2; 2026: 12.
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- 2025SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Imagescited by 10
- 2026Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Taskscited by 4
- 2026RSEdit: Text-Guided Image Editing for Remote Sensingcited by 2
- 2026RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecastingcited by 2
- 2026RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioningcited by 2
- 2025Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessmentcited by 1
- 2026Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Modelscited by 1
- 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Rankingcited by 1
- 2026EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change Captioningcited by 1
- 2026ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understandingcited by 0
- 2026Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applicationscited by 0
- 2026HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioningcited by 0
- 2026OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation11 Oct 2026
- 2026MGRL-RSCC: Multi-Granularity Reward Reinforcement Learning for Fine-Grained Remote Sensing Change Captioning9 Aug 2026
- 2026EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change Captioning3 Aug 2026
- 2026RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning26 Jun 2026
- 2026Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks9 Jun 2026
- 2026HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning14 May 2026
- 2026Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications5 May 2026
- 2026ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding24 Apr 2026
- 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking22 Apr 2026
- 2026Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models15 Apr 2026
- 2026RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting16 Mar 2026
- 2026RSEdit: Text-Guided Image Editing for Remote Sensing14 Mar 2026
- 2025SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Imagescited by 10
- 2026RSEdit: Text-Guided Image Editing for Remote Sensingcited by 2
- 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Rankingcited by 1
- 2026ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understandingcited by 0
- 2026Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applicationscited by 0
- 2026HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioningcited by 0
- 2026HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning14 May 2026
- 2026Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications5 May 2026
- 2026ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding24 Apr 2026
- 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking22 Apr 2026
- 2026RSEdit: Text-Guided Image Editing for Remote Sensing14 Mar 2026
- 2025SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images23 Dec 2025
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