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机译:每周不断更新的美国西部森林和林地发生大火的可能性的数据集
continuous integration pipeline. Each image in the dataset is the output of a random forest machine-learning algorithm, trained on random samples of historic small and large wildfires and represents the predicted conditional probability of an individual pixel burning in a large fire, given an ignition or fire spread to that pixel. This novel workflow is able to integrate the near-term dynamics of fuels and weather into weekly predictions while also integrating longer-term dynamics of fuels, the climate, and the landscape. As a continually updated product, the dataset can provide operational fire managers with contemporary, on-the-ground information to closely monitor the changing potential for large wildfire occurrence and spread. It can also serve as a foundational dataset for longer-term planning and research, such as the strategic targeting of fuels management, fire-smart development at the wildland–urban interface, and the analysis of trends in wildfire potential over time. Weekly large fire probability GeoTiff products from 2005 to 2017 are archived on the Figshare online digital repository with the DOI https://doi.org/10.6084/m9.figshare.5765967 (available at https://doi.org/10.6084/m9.figshare.5765967.v1). Weekly GeoTiff products and the entire dataset from 2005 onwards are also continually uploaded to a Google Cloud Storage bucket at https://console.cloud.google.com/storage/wffr-preds/V1 (last access: 14?September?2018) and are available free of charge with a Google account. Continually updated products and the long-term archive are also available to registered Google Earth Engine (GEE) users as public GEE assets and can be accessed with the image collection IDusers/mgray/wffr-preds within GEE.
连续集成管道每周自动更新。数据集中的每个图像都是随机森林机器学习算法的输出,在历史性的小规模和大型野火的随机样本上进行训练,并表示给定着火或火势蔓延到大火中单个像素燃烧的预测条件概率。该像素。这种新颖的工作流程能够将燃料和天气的近期动态整合到每周预测中,同时还可以将燃料,气候和景观的长期动态整合在一起。作为不断更新的产品,该数据集可以为作战火灾管理人员提供当代的实地信息,以密切监视发生大规模野火和蔓延的潜在变化。它也可以用作长期计划和研究的基础数据集,例如燃料管理的战略目标,野地与城市之间界面处的火警开发以及随时间推移分析野火潜力的趋势。 2005年至2017年每周发生大火的概率GeoTiff产品已通过DOI https://doi.org/10.6084/m9.figshare.5765967(可在https://doi.org/10.6084/m9获得)保存在Figshare在线数字存储库中.figshare.5765967.v1)。从2005年开始,每周的GeoTiff产品和整个数据集也不断上传到Google Cloud Storage存储桶中,网址为https://console.cloud.google.com/storage/wffr-preds/V1(上次访问时间:2018年9月14日)。并且可以通过Google帐户免费使用。注册的Google Earth Engine(GEE)用户也可以将GEE的公共更新资产和持续更新的产品以及长期存档作为公共GEE资产使用,并且可以使用GEE中的图像收集IDusers / mgray / wffr-preds进行访问。
机译:每周不断更新的美国西部森林和林地发生大火的可能性的数据集
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