Fetching the paper…
Reading the bibliography…
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness.
The shuttle radar topography mission
Tom G. Farr, Paul A. Rosen, Edward Caro, Robert Crippen, Riley Duren, Scott Hensley, Michael Kobrick, Mimi Paller, Ernesto Rodriguez, Ladislav Roth, David Seal, Scott Shaffer, Joanne Shimada, Jeffrey Umland, Marian Werner, Michael Oskin, Douglas Burbank, and Douglas Alsdorf · 2007
Earlier work this paper cites.
Development of gridded surface meteorological data for ecological applications and modelling
John T Abatzoglou · 2013
Earlier work this paper cites.
Seasonal climate variability and change in the pacific northwest of the united states
John T Abatzoglou, David E Rupp, and Philip W Mote · 2014
Earlier work this paper cites.
Mod14a1 modis/terra thermal anomalies/fire daily l3 global 1km sin grid v006, 2015
L. Giglio and C Justice · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Convolutional lstm network: A machine learning approach for precipitation nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Global fire emissions estimates during 1997–2016
G. R. van der Werf, J. T. Randerson, L. Giglio, T. T. van Leeuwen, Y. Chen, B. M. Rogers, M. Mu, M. J. E. van Marle, D. C. Morton, G. J. Collatz, R. J. Yokelson, and P. S. Kasibhatla · 2017
Cited alongside, same era.
Mortality due to vegetation fire-originated pm2.5 exposure in europe-assessment for the years 2005 and 2008
V. Kollanus, M. Prank, A. Gens, J. Soares, J. Vira, J. Kukkonen, M. Sofiev, R. O. Salonen, and T. Lanki · 2017
Cited alongside, same era.
Spatial wildfire occurrence data for the united states, 1992-2015 [fpa_fod_20170508]
Karen C Short · 2017
Cited alongside, same era.
Viirs/npp vegetation indices 16-day l3 global 500m sin grid v001, 2018
K. Didan and A Barreto · 2018
Cited alongside, same era.
2019 wildfire risk report, 2019
CoreLogic · 2019
Cited alongside, same era.
Machine learning for precipitation nowcasting from radar images
Machine learning for generalizable prediction of flood susceptibility
Chelsea Sidrane, Dylan J Fitzpatrick, Andrew Annex, Diane O’Donoghue, Yarin Gal, and Piotr Biliński · 2019
Later among the works it cites.
Firenet: Real-time segmentation of fire perimeter from aerial video
Jigar Doshi, Dominic Garcia, Cliff Massey, Pablo Llueca, Nicolas Borensztein, Michael Baird, Matthew Cook, and Devaki Raj · 2019
Later among the works it cites.
Machine learning to predict final fire size at the time of ignition
Shane R Coffield, Casey A Graff, Yang Chen, Padhraic Smyth, Efi Foufoula-Georgiou, and James T Randerson · 2019
Later among the works it cites.
A global wildfire dataset for the analysis of fire regimes and fire behaviour
Tomàs Artés, Duarte Oom, Daniele De Rigo, Tracy Houston Durrant, Pieralberto Maianti, Giorgio Libertà, and Jesús San-Miguel-Ayanz · 2019
Later among the works it cites.
Predictive modeling of wildfires: A new dataset and machine learning approach
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shreya Agrawal, Luke Barrington, Carla Bromberg, John Burge, Cenk Gazen, and Jason Hickey · 2019
Cited alongside, same era.
High-severity fire: evaluating its key drivers and mapping its probability across western us forests
Sean A Parks, Lisa M Holsinger, Matthew H Panunto, W Matt Jolly, Solomon Z Dobrowski, and Gregory K Dillon
Cited in the paper.
Mean composite fire severity metrics computed with google earth engine offer improved accuracy and expanded mapping potential
Sean A Parks, Lisa M Holsinger, Morgan A Voss, Rachel A Loehman, and Nathaniel P Robinson
Cited in the paper.
Younes Oulad Sayad, Hajar Mousannif, and Hassan Al Moatassime · 2019
Later among the works it cites.
Weatherbench: A benchmark dataset for data-driven weather forecasting
Stephan Rasp, Peter D Dueben, Sebastian Scher, Jonathan A Weyn, Soukayna Mouatadid, and Nils Thuerey · 2020
Closest in time.