Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire …

MG Gale, GJ Cary, AIJM Van Dijk, M Yebra - Remote Sensing of …, 2021 - Elsevier
Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …

Review of remote sensing applications in grassland monitoring

Z Wang, Y Ma, Y Zhang, J Shang - Remote Sensing, 2022 - mdpi.com
The application of remote sensing technology in grassland monitoring and management has
been ongoing for decades. Compared with traditional ground measurements, remote …

[HTML][HTML] Global fuel moisture content mapping from MODIS

X Quan, M Yebra, D Riaño, B He, G Lai, X Liu - International Journal of …, 2021 - Elsevier
Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver.
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …

Empirical models for spatio-temporal live fuel moisture content estimation in mixed mediterranean vegetation areas using sentinel-2 indices and meteorological data

JM Costa-Saura, Á Balaguer-Beser, LA Ruiz… - Remote Sensing, 2021 - mdpi.com
Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly
contributing to fire ignition and propagation. Developing models capable of accurately …

Live fuel moisture content estimation from MODIS: A deep learning approach

L Zhu, GI Webb, M Yebra, G Scortechini, L Miller… - ISPRS Journal of …, 2021 - Elsevier
Live fuel moisture content (LFMC) is an essential variable to model fire danger and
behaviour. This paper presents the first application of deep learning to LFMC estimation …

[HTML][HTML] SAR-enhanced mapping of live fuel moisture content

K Rao, AP Williams, JF Flefil, AG Konings - Remote Sensing of …, 2020 - Elsevier
Assessing wildfire risk presents several challenges due to uncertainty in fuel flammability
and ignition potential. Live fuel moisture content (LFMC)-the mass of water per unit dry …

Live fuel moisture content mapping in the Mediterranean Basin using random forests and combining MODIS spectral and thermal data

A Cunill Camprubi, P González-Moreno… - Remote Sensing, 2022 - mdpi.com
Remotely sensed vegetation indices have been widely used to estimate live fuel moisture
content (LFMC). However, marked differences in vegetation structure affect the relationship …

[HTML][HTML] Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

R Chen, B He, Y Li, Y Zhang, Z Liao, C Fan… - International Journal of …, 2024 - Elsevier
Accurate estimation of crown fire potential (CFP) can improve guidance on crown fire control
and management. However, robust simulations of crown fire behavior are still challenging …

Determining fuel moisture thresholds to assess wildfire hazard: A contribution to an operational early warning system

JP Argañaraz, MA Landi, CM Scavuzzo, LM Bellis - PloS one, 2018 - journals.plos.org
Fuel moisture content (FMC) is an important fuel property for assessing wildfire hazard,
since it influences fuel flammability and fire behavior. The relationship between FMC and fire …

Fire danger observed from space

ML Pettinari, E Chuvieco - Surveys in Geophysics, 2020 - Springer
Biomass burning is one of the critical components of the Earth system, significantly affecting
atmospheric emissions and carbon budgets. Fires occurring in the interface between …