3 Matching Annotations
- Feb 2024
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Parks, S.A.; Dillon, G.K.; Miller, C. A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio. Remote Sens. 2014, 6, 1827-1844. https://doi.org/10.3390/rs6031827
Widely used model for #fire-severity prediction for forest wildfires in Canada and USA.
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esajournals.onlinelibrary.wiley.com esajournals.onlinelibrary.wiley.com
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Paper using fire risk prediction model.
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- Oct 2023
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www.nature.com www.nature.com
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Neural operators are guaranteed to be discretization invariant, meaning that they can work on any discretization of inputs and converge to a limit upon mesh refinement. Once neural operators are trained, they can be evaluated at any resolution without the need for re-training. In contrast, the performance of standard neural networks can degrade when data resolution during deployment changes from model training.
Look this up: anyone familiar with this? sounds complicated but very promising for domains with a large range of resolutions (medical-imaging, wildfire-management)
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