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 …
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 …
to, among other factors, the high quantity and complex structure of fuel in these …
Satellite remote sensing contributions to wildland fire science and management
Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
Integrating plant physiology into simulation of fire behavior and effects
Wildfires are a global crisis, but current fire models fail to capture vegetation response to
changing climate. With drought and elevated temperature increasing the importance of …
changing climate. With drought and elevated temperature increasing the importance of …
[HTML][HTML] Global fuel moisture content mapping from MODIS
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 …
This study presents the first daily FMC product at a global scale and 500 m pixel resolution …
Machine learning for predicting forest fire occurrence in Changsha: An innovative investigation into the introduction of a forest fuel factor
X Wu, G Zhang, Z Yang, S Tan, Y Yang, Z Pang - Remote Sensing, 2023 - mdpi.com
Affected by global warming and increased extreme weather, Hunan Province saw a phased
and concentrated outbreak of forest fires in 2022, causing significant damage and impact …
and concentrated outbreak of forest fires in 2022, causing significant damage and impact …
Live fuel moisture content estimation from MODIS: A deep learning approach
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 …
behaviour. This paper presents the first application of deep learning to LFMC estimation …
Soil moisture retrieval using SAR backscattering ratio method during the crop growing season
Soil moisture content (SMC) is an indispensable basic element for crop growth and
development in agricultural production. Obtaining accurate information on SMC in real time …
development in agricultural production. Obtaining accurate information on SMC in real time …
[HTML][HTML] SAR-enhanced mapping of live fuel moisture content
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 …
and ignition potential. Live fuel moisture content (LFMC)-the mass of water per unit dry …
Effects of live fuel moisture content on wildfire occurrence in fire-prone regions over southwest China
Previous studies have shown that Live Fuel Moisture Content (LFMC) is a crucial driver
affecting wildfire occurrence worldwide, but the effect of LFMC in driving wildfire occurrence …
affecting wildfire occurrence worldwide, but the effect of LFMC in driving wildfire occurrence …
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 …
content (LFMC). However, marked differences in vegetation structure affect the relationship …