AUA-Informatics-Lab/eo4wildfires
收藏Hugging Face2025-09-29 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/AUA-Informatics-Lab/eo4wildfires
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资源简介:
EO4WildFires是一个地球观测多传感器、时间序列基准数据集,用于野火影响预测。该数据集整合了来自Sentinel-2的多光谱图像、来自Sentinel-1的合成孔径雷达(SAR)数据和来自NASA Power的气象数据,并与EFFIS数据进行了注释。这些数据覆盖了45个国家,总计包含2018年至2022年间发生的31,730次野火事件。
EO4WildFires is an Earth Observation multi-sensor, time-series benchmark dataset for wildfire impact prediction. This dataset integrates multispectral imagery from Sentinel-2, SAR data from Sentinel-1, and meteorological data from NASA Power, annotated with EFFIS data. It covers 45 countries with a total of 31,730 wildfire events from 2018 to 2022.
提供机构:
AUA-Informatics-Lab



