Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling

Keane, Robert E.; Burgan, Robert E.; Wagtendonk, Jan W. van

doi:10.1071/wf01028

Cited by 313 publications

(228 citation statements)

References 80 publications

(103 reference statements)

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“…Therefore, up-to-date accurate fuel maps are essential for computing spatial fire hazard and simulating fire spread across a landscape (Keane et al, 2001). Silvicultural interventions like thinning can modify the fuel complex structure into a less flammable by breaking the horizontal fuel continuity.…”

Section: Introductionmentioning

confidence: 99%

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

et al. 2016

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Forest fires are a major threat in NW Spain. The importance and frequency of these events in the area suggests the need for fuel management programs to reduce the spread and severity of forest fires. Thinning treatments can contribute for fire risk reduction, because they cut off the horizontal continuity of forest fuels. Besides, it is necessary to conduct a fire risk management based on the knowledge of fuel allocation, since fire behaviour and fire spread study is dependent on the spatial factor. Therefore, mapping fuel for different silvicultural scenarios is essential. Modelling forest variables and forest structure parameters from LiDAR technology is the starting point for developing spatiallyexplicit maps. This is essential in the generation of fuel maps since field measurements of canopy fuel variables is not feasible. In the present study, we evaluated the potential of LiDAR technology to estimate canopy fuel variables and other stand variables, as well as to identify structural differences between silvicultural managed and unmanaged P. pinaster Ait. stands. Independent variables (LiDAR metrics) of greater explanatory significance were identified and regression analyses indicated strong relationships between those and field-derived variables (R 2 varied between 0.86 and 0.97). Significant differences were found in some LiDAR metrics when compared thinned and unthinned stands. Results showed that LiDAR technology allows to model canopy fuel and stand variables with high precision in this species, and provides useful information for identifying areas with and without silvicultural management.Key words: Pinus pinaster, Airborne Laser Scanning (ALS), fuel management, canopy fuel load, canopy bulk density, canopy base height. Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportadoResumen: Los incendios forestales suponen una gran amenaza en el NO de España. La importancia y frecuencia de estos eventos en la zona sugiere la necesidad de programas de gestión del combustible para reducir la propagación y severidad de los incendios. La realización de una selvicultura de claras puede contribuir a la reducción del riesgo de incendio, ya que ocasiona una ruptura de la continuidad horizontal del combustible forestal. Además, es necesario realizar una gestión del riesgo de incendio basada en el conocimiento de la localización del combustible sobre el

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Section: Introductionmentioning

confidence: 99%

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

et al. 2016

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“…They have the strength of being able to use modelling to combine disparate sources of data to predict attributes in a parsimonious manner [23,27,[116][117][118]. Advantages include the ability respond to dynamic changes (such as incorporating observations [119]) as well as being able to spatially quantify uncertainty around attribute values.…”

Section: Creating Maps Of Fuelmentioning

confidence: 99%

“…While obscuration by tree canopies has provided a challenge for directly measuring many fuel properties [23], in recent years there have been rapid developments in technologies that allow the measurement of sub-canopy fuel properties, including airborne LiDAR [108], hyper and multi-spectral imagery [109], and radar [110]. These have the potential to yield detailed measurements of attributes that have been difficult to measure over large areas, in particular vertical and horizontal structure.…”

Section: Creating Maps Of Fuelmentioning

confidence: 99%

“…For broad-scale fuel mapping, there are three main approaches that can be applied; direct (where methods directly measure properties of interest-such as measuring canopy structure with LiDAR), indirect (where methods use the direct measurement of a proxy for the properties of interest-such as using images to create classes based on overstorey tree species as a proxy for fuel structure) or derived (where values are derived statistically from a range of sources including combinations of biophysical variables and indirect measurements-such as modelling fuel loading using climatic and vegetation community data) [23,105,106]. The methods available for mapping fuel are highly dependent on the ways fuel has been sampled and classified.…”

Section: Creating Maps Of Fuelmentioning

confidence: 99%

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Revisiting Wildland Fire Fuel Quantification Methods: The Challenge of Understanding a Dynamic, Biotic Entity

Duff

Keane

Penman

et al. 2017

Forests

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Abstract:Wildland fires are a function of properties of the fuels that sustain them. These fuels are themselves a function of vegetation, and share the complexity and dynamics of natural systems. Worldwide, the requirement for solutions to the threat of fire to human values has resulted in the development of systems for predicting fire behaviour. To date, regional differences in vegetation and independent fire model development has resulted a variety of approaches being used to describe, measure and map fuels. As a result, widely different systems have been adopted, resulting in incompatibilities that pose challenges to applying research findings and fire models outside their development domains. As combustion is a fundamental process, the same relationships between fuel and fire behaviour occur universally. Consequently, there is potential for developing novel fuel assessment methods that are more broadly applicable and allow fire research to be leveraged worldwide. Such a movement would require broad cooperation between researchers and would most likely necessitate a focus on universal properties of fuel. However, to truly understand fuel dynamics, the complex biotic nature of fuel would also need to remain a consideration-particularly when looking to understand the effects of altered fire regimes or changing climate.

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“…Fuel models are mathematical representations of fuel properties within a specified location (Stacey et al 2012), used to predict and plot likely fire spread and intensity by means of fire behavior models, packaged into decision support systems (e.g., FARSITE -Finney 1998, BehavePlusHeinsch & Andrews 2010. However, the implementation of fire modeling on a large scale is inherently limited by the difficulty and high cost of yielding accurate geospatial data on fuels (Keane et al 2001). In this perspective, a large scale map of forest flammability potential can be a valuable decision support tool to assess need and priorities in fire management, e.g., to support the effectiveness of fire prevention, detection and allocation of fire fighting resources (Blasi et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Calibration assessment of forest flammability potential in Italy

Corona¹,

Ferrari²,

Cartisano³

et al. 2014

iForest

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Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling

Cited by 313 publications

References 80 publications

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

Revisiting Wildland Fire Fuel Quantification Methods: The Challenge of Understanding a Dynamic, Biotic Entity

Calibration assessment of forest flammability potential in Italy

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