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 …
Detecting coffee leaf rust with UAV-based vegetation indices and decision tree machine learning models
Coffee leaf rust (CLR) is one of the most devastating leaf diseases in coffee plantations. By
knowing the symptoms, severity, and spatial distribution of CLR, farmers can improve …
knowing the symptoms, severity, and spatial distribution of CLR, farmers can improve …
Towards an integrated approach to wildfire risk assessment: when, where, what and how may the landscapes burn
This paper presents a review of concepts related to wildfire risk assessment, including the
determination of fire ignition and propagation (fire danger), the extent to which fire may …
determination of fire ignition and propagation (fire danger), the extent to which fire may …
Towards a whole‐system framework for wildfire monitoring using Earth observations
Fire seasons have become increasingly variable and extreme due to changing
climatological, ecological, and social conditions. Earth observation data are critical for …
climatological, ecological, and social conditions. Earth observation data are critical for …
Climate change induced declines in fuel moisture may turn currently fire-free Pyrenean mountain forests into fire-prone ecosystems
VR de Dios, J Hedo, ÀC Camprubí, P Thapa… - Science of the Total …, 2021 - Elsevier
Fuel moisture limits the availability of fuel to wildfires in many forest areas worldwide, but the
effects of climate change on moisture constraints remain largely unknown. Here we …
effects of climate change on moisture constraints remain largely unknown. Here we …
SurEau: a mechanistic model of plant water relations under extreme drought
Key message A new process-based model, SurEau, is described. It predicts the risk of xylem
hydraulic failure under drought. Context The increase in drought intensity due to climate …
hydraulic failure under drought. Context The increase in drought intensity due to climate …
Empirical models for spatio-temporal live fuel moisture content estimation in mixed mediterranean vegetation areas using sentinel-2 indices and meteorological data
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 …
contributing to fire ignition and propagation. Developing models capable of accurately …
Generation and mapping of fuel types for fire risk assessment
E Aragoneses, E Chuvieco - Fire, 2021 - mdpi.com
Fuel mapping is key to fire propagation risk assessment and regeneration potential.
Previous studies have mapped fuel types using remote sensing data, mainly at local …
Previous studies have mapped fuel types using remote sensing data, mainly at local …
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 …
Plant hydraulic modelling of leaf and canopy fuel moisture content reveals increasing vulnerability of a Mediterranean forest to wildfires under extreme drought
Fuel moisture content (FMC) is a crucial driver of forest fires in many regions world‐wide.
Yet, the dynamics of FMC in forest canopies as well as their physiological and …
Yet, the dynamics of FMC in forest canopies as well as their physiological and …