A5006051321- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Fire Detection and Safety Systems
- Atmospheric and Environmental Gas Dynamics
- Forest ecology and management
- Rangeland and Wildlife Management
- Fire dynamics and safety research
- Species Distribution and Climate Change
- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Remote Sensing and Land Use
- Ecology and Vegetation Dynamics Studies
- Flood Risk Assessment and Management
- Disaster Management and Resilience
- Forest Ecology and Biodiversity Studies
- Computational Physics and Python Applications
- Soil and Unsaturated Flow
- Precipitation Measurement and Analysis
- Climate change and permafrost
- Infrared Target Detection Methodologies
- Leaf Properties and Growth Measurement
- Climate variability and models
Australian National University
2016-2025
Natural Hazards Research Australia
2015-2024
ACT Government
2022
Mallacoota Medical Centre
2022
University of South Australia
2022
Deakin University
2022
CSIRO Land and Water
2011-2016
Universidad de Alcalá
2006-2013
Commonwealth Scientific and Industrial Research Organisation
2013
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate up to date information areas affected by fire is critical better understand drivers activity, as well its relevance for biogeochemical cycles, climate, air quality, aid management. Mapping burned was traditionally done from field sketches. With the launch first Earth observation satellites, remote sensing quickly became more practical alternative detect areas, they provide timely regional global coverage...
This paper presents a review of concepts related to wildfire risk assessment, including the determination fire ignition and propagation (fire danger), extent which may spatially overlap with valued assets (exposure), potential losses resilience those (vulnerability). is followed by brief discussion how these can be integrated connected mitigation adaptation efforts. We then operational systems in place various parts world. Finally, we propose an system being developed under FirEUrisk...
Fire risk assessment should take into account the most relevant components associated to fire occurrence. To estimate when and where will produce undesired effects, we need model both (a) ignition propagation potential (b) vulnerability. Following these ideas, a comprehensive system is proposed in this paper, which makes extensive use of geographic information technologies offer spatially explicit evaluation conditions. The paper first describes conceptual model, then methods generate...
The present paper presents and discusses the relationships between live Fuel Moisture Content (FMC) measurements fire occurrence (number of fires burned area) in a Mediterranean area central Spain. Grasslands four shrub species (Cistus ladanifer L., Rosmarinus officinalis Erica australis L. Phillyrea angustifolia L.) were sampled field from spring to summer season over 9-year period. Higher seasonal FMC variability was found for herbaceous than shrubs, as grasslands have very low values...
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 global scale 500 m pixel resolution from Moderate Resolution Imaging Spectroradiometer (MODIS) radiative transfer models (RTMs) inversion techniques. Firstly, multi-source information parameterized PROSPECT-5 (leaf level), 4SAIL (grass shrub canopy level) GeoSail (tree RTMs to generate three look-up tables (LUTs). Each LUT contained most...
Abstract Extreme wildfires extensively impact human health and the environment. Increasing vapour pressure deficit (VPD) has led to a chronic increase in wildfire area western United States, yet some regions have been more affected than others. Here we show that for same VPD, burned increases where vegetation moisture shows greater sensitivity water limitation (plant-water sensitivity; R 2 = 0.71). This rapid exposure risk, both because population living areas with high plant-water grew 50%...
Abstract. The moisture content of vegetation canopies controls various ecosystem processes such as plant productivity, transpiration, mortality, and flammability. Leaf (here defined the ratio leaf water mass to dry biomass, or live-fuel content, LFMC) is a property that frequently used estimate flammability danger fire occurrence spread, widely measured at field sites around globe. LFMC can be retrieved from satellite observations in visible infrared domain electromagnetic spectrum, which...
Abstract Live fuel moisture content (LFMC) is a key determinant of landscape ignition potential, but quantitative estimates its effects on wildfire are lacking. We present causal inference framework to isolate the effect LFMC from other drivers like type, amount, and meteorology. show that in California when below critical flammability threshold, likelihood fires 1.8 times as high statewide (2.25% vs. 1.27%) 2.5 shrubs, compared greater than threshold. This risk ratio >2 10% less Between...
Abstract Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, 2.0 incorporates 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within provides...
Abstract On average, Australia is a dry continent with many competing uses for water. Hence, there an urgent need to know actual evapotranspiration (ET ) patterns across wide areas of agricultural and natural ecosystems, as opposed just point measurements ET . The Australian Government has tasked the science agencies operationally developing monthly annual estimates other hydrological variables, forecasting water availability over periods days decades, part its national assessment programme....
This work applies remote sensing techniques to estimate dry matter (DM) content in tree leaves. Two methods were used DM content: a normalized index obtained from the radiative transfer model (RTM) leaf optical properties spectra (PROSPECT) direct mode and inversion of PROSPECT model. The data Leaf Optical Properties Experiment 93 (LOPEX93) database, only 11 species this study. selection was based mainly on availability fresh samples. estimation an exponential function that correlated values...
Abstract Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the States America. The contains 161,717 individual records based on situ destructive samples used to measure LFMC, representing amount water plant leaves per unit dry matter. primary goal calibrate validate remote sensing algorithms predict LFMC....
Analysing changes in vegetation seasonality of terrestrial ecosystems is important to understand ecological responses global change. Based on over three decades observations by the series Advanced Very High Resolution Radiometer (AVHRR) sensors, Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset has been widely used for monitoring trends. However, it not well known how robust long-term trends derived from GIMMS NDVI are, given...