Modelling Bushfire Severity and Predicting Future Trends in Australia
收藏NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Modelling_Bushfire_Severity_and_Predicting_Future_Trends_in_Australia/31449037
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The Modelling Bushfire Severity and Predicting Future Trends in Australia dataset is a multi-source geospatial dataset developed to analyse bushfire severity across Australia from 2012 to 2023. It integrates Landsat 5, 7, and 8 satellite imagery with NASA FIRMS fire data, along with derived spectral indices such as NDVI, NBR, and dNBR. The dataset also incorporates topographical features (elevation, slope, TPI) and climatic variables (temperature, precipitation, soil moisture) to support predictive modelling. The final GeoTIFF dataset enables large-scale fire severity mapping and machine learning-based bushfire trend prediction across diverse Australian ecosystems.
澳大利亚野火严重程度建模与未来趋势预测数据集(Modelling Bushfire Severity and Predicting Future Trends in Australia dataset)是一套多源地理空间数据集,旨在分析2012年至2023年澳大利亚境内的野火严重程度。该数据集整合了Landsat 5、7、8卫星影像、NASA FIRMS火灾数据,以及归一化植被指数(NDVI)、归一化燃烧比(NBR)、差值归一化燃烧比(dNBR)等衍生光谱指数。此外,数据集还纳入了地形特征(海拔、坡度、地形位置指数TPI)与气候变量(气温、降水量、土壤湿度),为预测建模提供支撑。最终生成的GeoTIFF格式数据集可支持澳大利亚多样生态系统范围内的大规模火灾严重程度制图,以及基于机器学习的野火趋势预测。
创建时间:
2026-03-02



