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 …
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management
Managing fuels is a key strategy for mitigating the negative impacts of wildfires on people
and the environment. The use of satellite‐based Earth observation data has become an …
and the environment. The use of satellite‐based Earth observation data has become an …
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 …
Residence time of carbon in paddy soils
Y Liu, T Ge, P Wang, KJ van Groenigen, X Xu… - Journal of Cleaner …, 2023 - Elsevier
Mean residence time (MRT) of carbon (C) in soil is the most important parameter of C
sequestration and stability and crucial for CO 2 removal from the atmosphere. Climate and …
sequestration and stability and crucial for CO 2 removal from the atmosphere. Climate and …
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 …
Corrigendum to: Integrating remotely sensed fuel variables into wildfire danger assessment for China
As regulated by the 'fire environment triangle', three major forces are essential for
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …
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 …
Model-driven estimation of closed and open shrublands live fuel moisture content
Live fuel moisture content (LFMC) is a crucial variable affecting the ignition potential of
shrublands. Different remote sensing-based models (either empirical or physical) have been …
shrublands. Different remote sensing-based models (either empirical or physical) have been …
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content
Wildfire occurrence is a non-linear process resulting from interactions between weather,
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
The moisture content of vegetation canopies controls various ecosystem processes such as
plant productivity, transpiration, mortality, and flammability. Leaf moisture content (here …
plant productivity, transpiration, mortality, and flammability. Leaf moisture content (here …