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Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data. (arXiv:2209.10102v1 [cs.LG])
Sept. 22, 2022, 1:11 a.m. | Hyung-Jin Yoon, Petros Voulgaris
cs.LG updates on arXiv.org arxiv.org
Due to recent climate changes, we have seen more frequent and severe
wildfires in the United States. Predicting wildfires is critical for natural
disaster prevention and mitigation. Advances in technologies in data processing
and communication enabled us to access remote sensing data. With the remote
sensing data, valuable spatiotemporal statistical models can be created and
used for resource management practices. This paper proposes a distributed
learning framework that shares local data collected in ten locations in the
western USA throughout …
More from arxiv.org / cs.LG updates on arXiv.org
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