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ImpactMesh-Flood

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魔搭社区2025-11-27 更新2025-11-29 收录
下载链接:
https://modelscope.cn/datasets/ibm-esa-geospatial/ImpactMesh-Flood
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[![arXiv](https://img.shields.io/badge/arXiv-comming_soon-b31b1b?logo=arxiv)](https://arxiv.org/abs/todo) [![Code](https://img.shields.io/badge/GitHub-ImpactMesh-EE4B2B?logo=github)](https://github.com/IBM/ImpactMesh) [![IBMblog](https://img.shields.io/badge/Blog-IBM-0F62FE)](https://research.ibm.com/blog/todo) # ImpactMesh-Flood ImpactMesh is a large-scale multimodal, multitemporal dataset for flood and wildfire mapping, released by IBM, DLR, and the ESA Φ-lab. It integrates **Sentinel-1 SAR**, **Sentinel-2 optical**, **Copernicus DEM**, and high-quality annotations from Copernicus EMS. The technical report is released soon. You find the wildfire subset here: https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Fire. ![events_world](https://github.com/IBM/ImpactMesh/raw/main/assets/events_world_light.png) --- ## Features - Multimodal: SAR, optical, DEM - Multitemporal: Four time steps (pre-month, pre-event, event, post-event) - Global coverage: 200+ flood events - Scale: 80K samples - License: CC-BY 4.0 ## Quick Start Download the dataset with: ```shell hf download ibm-esa-geospatial/ImpactMesh-Flood --repo-type dataset --local-dir data/ImpactMesh-Flood # Only download a single modality (e.g., S2L2A) hf download ibm-esa-geospatial/ImpactMesh-Flood --repo-type dataset --include "data/S2L2A*.tar" --local-dir data/ImpactMesh-Flood ``` Untar the samples with: ```shell tar -xf data/ImpactMesh-Flood/data/S2L2A_1.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S2L2A_2.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S2L2A_3.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S1RTC.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/DEM.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/MASK.tar -C data/ImpactMesh-Flood/data ``` We use [TerraTorch](https://terrastackai.github.io/terratorch/stable/) for the model fine-tuning and provide data modules for ImpactMesh. You can download the code and configs for the fine-tuning from https://github.com/IBM/ImpactMesh. Alternatively, you can install the data loading code with: ```shell pip install impactmesh ``` ```shell terratorch fit --config configs/terramind_v1_tiny_impactmesh_flood.yaml ``` ## Citation Our technical report is released soon! ## Acknowledgement ImpactMesh was developed as part of the FAST‑EO project funded by the European Space Agency Φ‑Lab (contract #4000143501/23/I‑DT). Sentinel-2 Level-2A data were downloaded from Microsoft Planetary Computer and are provided under Copernicus Sentinel license conditions (© European Union 2015–2025, ESA) (https://planetarycomputer.microsoft.com/dataset/sentinel-2-l2a). Sentinel-1 Radiometrically Terrain Corrected (RTC) SAR data were retrieved from Microsoft Planetary Computer (calibrated to GRD and terrain-corrected using PlanetDEM) under Copernicus Sentinel license terms (© European Union 2014–2025) (https://planetarycomputer.microsoft.com/dataset/sentinel-1-rtc). The DEM data is produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. Annotations were sourced from the Copernicus Emergency Management Service (© European Union, 2012–2025), available at https://emergency.copernicus.eu/.

[![arXiv](https://img.shields.io/badge/arXiv-即将上线-b31b1b?logo=arxiv)](https://arxiv.org/abs/todo) [![代码](https://img.shields.io/badge/GitHub-ImpactMesh-EE4B2B?logo=github)](https://github.com/IBM/ImpactMesh) [![博客](https://img.shields.io/badge/博客-IBM-0F62FE)](https://research.ibm.com/blog/todo) # ImpactMesh-Flood ImpactMesh 是由IBM、德国宇航中心(DLR)、欧洲空间局Φ实验室(ESA Φ-lab)联合发布的大规模多模态多时间序列洪水与野火制图数据集。该数据集整合了**哨兵-1合成孔径雷达(Sentinel-1 SAR)**、**哨兵-2光学影像(Sentinel-2 optical)**、**哥白尼数字高程模型(Copernicus DEM)**,以及来自哥白尼应急管理服务(Copernicus EMS)的高质量标注数据。其技术报告即将发布。野火子集可在此获取:https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Fire。 ![events_world](https://github.com/IBM/ImpactMesh/raw/main/assets/events_world_light.png) --- ## 数据集特性 - 多模态:支持合成孔径雷达、光学影像与数字高程模型 - 多时间序列:包含四个时间节点(灾前一月、灾前、灾害发生时、灾后) - 全球覆盖:涵盖200余起洪水事件 - 样本规模:共计8万余个样本 - 授权协议:CC-BY 4.0 ## 快速入门 使用以下命令下载数据集: shell hf download ibm-esa-geospatial/ImpactMesh-Flood --repo-type dataset --local-dir data/ImpactMesh-Flood # 仅下载单一模态数据(例如S2L2A) hf download ibm-esa-geospatial/ImpactMesh-Flood --repo-type dataset --include "data/S2L2A*.tar" --local-dir data/ImpactMesh-Flood 使用以下命令解压样本: shell tar -xf data/ImpactMesh-Flood/data/S2L2A_1.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S2L2A_2.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S2L2A_3.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/S1RTC.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/DEM.tar -C data/ImpactMesh-Flood/data tar -xf data/ImpactMesh-Flood/data/MASK.tar -C data/ImpactMesh-Flood/data 本项目使用[TerraTorch](https://terrastackai.github.io/terratorch/stable/)进行模型微调,并为ImpactMesh提供了专用数据加载模块。你可从https://github.com/IBM/ImpactMesh 获取微调所需的代码与配置文件。 或者,你也可以通过以下命令安装数据加载代码: shell pip install impactmesh shell terratorch fit --config configs/terramind_v1_tiny_impactmesh_flood.yaml ## 引用说明 本项目技术报告即将发布。 ## 致谢 ImpactMesh 是由欧洲空间局Φ实验室资助的FAST‑EO项目的研发成果(合同编号:#4000143501/23/I‑DT)。 哨兵-2 Level-2A 数据从微软行星计算机(Microsoft Planetary Computer)获取,遵循哥白尼哨兵数据许可协议(© European Union 2015–2025, ESA),详情参见:https://planetarycomputer.microsoft.com/dataset/sentinel-2-l2a。 哨兵-1 辐射地形校正(RTC)合成孔径雷达数据从微软行星计算机获取(已校准至GRD格式并使用PlanetDEM完成地形校正),遵循哥白尼哨兵数据许可协议(© European Union 2014–2025),详情参见:https://planetarycomputer.microsoft.com/dataset/sentinel-1-rtc。 本数据集所用的数字高程模型数据由哥白尼WorldDEM-30生成,© DLR e.V. 2010-2014 与 © Airbus Defence and Space GmbH 2014-2018,由欧盟与欧洲空间局在哥白尼计划框架下提供,保留所有权利。 标注数据源自哥白尼应急管理服务(© European Union, 2012–2025),获取地址:https://emergency.copernicus.eu/。
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maas
创建时间:
2025-11-21
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