Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.00534
Cited By
Deep Learning for Global Wildfire Forecasting
1 November 2022
Ioannis Prapas
Akanksha Ahuja
Spyros Kondylatos
Ilektra Karasante
Eleanna Panagiotou
Lazaro Alonso
Charalampos Davalas
Dimitrios Michail
Nuno Carvalhais
Ioannis Papoutsis
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Learning for Global Wildfire Forecasting"
6 / 6 papers shown
Title
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
F. Huot
R. Hu
N. Goyal
T. Sankar
M. Ihme
Yi-Fan Chen
79
71
0
04 Dec 2021
Deep Learning Methods for Daily Wildfire Danger Forecasting
Ioannis Prapas
Spyros Kondylatos
Ioannis Papoutsis
Gustau Camps-Valls
M. Ronco
Miguel-Ángel Fernández-Torres
M. Guillem
Nuno Carvalhais
44
28
0
04 Nov 2021
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
F. Huot
R. Hu
M. Ihme
Qing Wang
J. Burge
Tianjian Lu
Jason Hickey
Yi-Fan Chen
John R. Anderson
44
21
0
15 Oct 2020
A review of machine learning applications in wildfire science and management
P. Jain
Sean C. P. Coogan
Sriram Ganapathi Subramanian
Mark Crowley
Steve Taylor
M. Flannigan
47
479
0
02 Mar 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,134
0
18 Jul 2018
1