Articles citing this paper
Projecting live fuel moisture content via deep learning
Lynn Miller 
A * , Liujun Zhu B , Marta Yebra C D , Christoph Rüdiger E F and Geoffrey I. Webb A G
+ Author Affiliations
- Author Affiliations
A Department of Data Science and Artificial Intelligence, Monash University, Clayton, Vic. 3800, Australia.
B Yangtze Institute for Conservation and Development, Hohai University, Nanjing, 210024, China.
C Fenner School of Environment & Society, Australian National University, ACT 2601, Australia.
D School of Engineering, Australian National University, ACT 2601, Australia.
E Department of Civil Engineering, Monash University, Clayton, Vic. 3800, Australia.
F Science and Innovation Group, Bureau of Meteorology, Melbourne, Vic. 3008, Australia.
G Monash Data Futures Institute, Monash University, Clayton, Vic. 3800, Australia.
International Journal of Wildland Fire 32(5) 709-727 https://doi.org/10.1071/WF22188
Submitted: 23 August 2022 Accepted: 23 February 2023 Published: 20 March 2023
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
Yebra Marta,
Scortechini Gianluca,
Adeline Karine,
Aktepe Nursema,
Almoustafa Turkia,
Bar-Massada Avi,
Beget María Eugenia,
Boer Matthias,
Bradstock Ross,
Brown Tegan,
Castro Francesc Xavier,
Chen Rui,
Chuvieco Emilio,
Danson Mark,
Değirmenci Cihan Ünal,
Delgado-Dávila Ruth,
Dennison Philip,
Di Bella Carlos,
Domenech Oriol,
Féret Jean-Baptiste,
Forsyth Greg,
Gabriel Eva,
Gagkas Zisis,
Gharbi Fatma,
Granda Elena,
Griebel Anne,
He Binbin,
Jolly Matt,
Kotzur Ivan,
Kraaij Tineke,
Kristina Agnes,
Kütküt Pınar,
Limousin Jean-Marc,
Martín M. Pilar,
Monteiro Antonio T.,
Morais Marco,
Moreira Bruno,
Mouillot Florent,
Msweli Samukelisiwe,
Nolan Rachael H.,
Pellizzaro Grazia,
Qi Yi,
Quan Xingwen,
Resco de Dios Victor,
Roberts Dar,
Tavşanoğlu Çağatay,
Taylor Andy F. S.,
Taylor Jackson,
Tüfekcioğlu İrem,
Ventura Andrea, Younes Cardenas Nicolas
Scientific Data. 2024 11(1).
Comparative Analysis of Machine Learning-Based Predictive Models for Fine Dead Fuel Moisture of Subtropical Forest in China
Hou Xiang,
Wu Zhiwei,
Zhu Shihao,
Li Zhengjie, Li Shun
Forests. 2024 15(5). p.736
Operational Forest-Fire Spread Forecasting Using the WRF-SFIRE Model
Kale Manish P.,
Meher Sri Sai,
Chavan Manoj,
Kumar Vikas,
Sultan Md. Asif,
Dongre Priyanka,
Narkhede Karan,
Mhatre Jitendra,
Sharma Narpati,
Luitel Bayvesh,
Limboo Ningwa,
Baingne Mahendra,
Pardeshi Satish,
Labade Mohan,
Mukherjee Aritra,
Joshi Utkarsh,
Kharkar Neelesh,
Islam Sahidul,
Pokale Sagar,
Thakare Gokul,
Talekar Shravani,
Behera Mukunda-Dev,
Sreshtha D.,
Khare Manoj,
Kaginalkar Akshara,
Kumar Naveen, Roy Parth Sarathi
Remote Sensing. 2024 16(13). p.2480
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction
Dubey Ritambhara Raj, Yaghoobian Neda
Environmental Modelling & Software. 2024 179 p.106111
