Cargando…
California wildfire spread derived using VIIRS satellite observations and an object-based tracking system
Changing wildfire regimes in the western US and other fire-prone regions pose considerable risks to human health and ecosystem function. However, our understanding of wildfire behavior is still limited by a lack of data products that systematically quantify fire spread, behavior and impacts. Here we...
Autores principales: | Chen, Yang, Hantson, Stijn, Andela, Niels, Coffield, Shane R., Graff, Casey A., Morton, Douglas C., Ott, Lesley E., Foufoula-Georgiou, Efi, Smyth, Padhraic, Goulden, Michael L., Randerson, James T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151742/ https://www.ncbi.nlm.nih.gov/pubmed/35637186 http://dx.doi.org/10.1038/s41597-022-01343-0 |
Ejemplares similares
-
Machine learning to predict final fire size at the time of ignition
por: Coffield, Shane R., et al.
Publicado: (2019) -
Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales
por: Chen, Yang, et al.
Publicado: (2020) -
Wildfire response to changing daily temperature extremes in California’s Sierra Nevada
por: Gutierrez, Aurora A., et al.
Publicado: (2021) -
Human-ignited fires result in more extreme fire behavior and ecosystem impacts
por: Hantson, Stijn, et al.
Publicado: (2022) -
Climate-driven changes in the predictability of seasonal precipitation
por: Le, Phong V. V., et al.
Publicado: (2023)