Identification

Title

Real-world fuel data from forest plots and input configuration for simulations of wildfires in Fire Dynamics Simulator (FDS), Oregon, USA, 2019

Abstract

This dataset contains inputs for wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes five segmented point clouds in LAS format, representing different fuel classes from a forest plot, each with an associated BDF (Bulk Density Files) file. The forest plot consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The dataset also contains Fire Dynamics Simulator (FDS) input files detailing the configuration for three separate simulations. These resources support modelling and simulation efforts to better understand fire behaviour in forest ecosystems. Full details about this dataset can be found at https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/467a735f-b03c-4c30-8781-82f0e11aec28

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/467a735f-b03c-4c30-8781-82f0e11aec28.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/467a735f-b03c-4c30-8781-82f0e11aec28

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Geographic location

West bounding longitude

-121.17

East bounding longitude

-121.15

North bounding latitude

42.86

South bounding latitude

42.84

Temporal reference

Temporal extent

Begin position

2019-07-10

End position

2019-07-10

Dataset reference date

date type

publication

effective date

2025-02-21

Frequency of update

Quality and validity

Lineage

Point clouds of a Pinus ponderosa stand in Sycan Marsh, Oregon, USA were acquired on 10/07/2019. These point clouds were segmented into five fuel classes. For each of the fuel classes, a BDF file was created by calculating the density of points for each 10 x 10 x 10cm section of the forest. Parameters were determined for three simulation scenarios, detailing the environmental conditions, fuel properties, and fire ignition points. These data make up the input configuration for three simulations run in the Fire Dynamics Simulator.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

LASer

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Cabo, C., Santin, C., Doerr, S., Laino, D., Parsons, R., Hudak, A. (2025). Real-world fuel data from forest plots and input configuration for simulations of wildfires in Fire Dynamics Simulator (FDS), Oregon, USA, 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28

Responsible organisations

Responsible party

organisation name

email address

Carlos.cabo@swansea.ac.uk

web address

https://orcid.org/0000-0002-0387-9052

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information