Determination of Forest Structure from Remote Sensing Data for Modeling the Navigation of Rescue Vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F23%3A00558105" target="_blank" >RIV/60162694:G43__/23:00558105 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/12/8/3939#cite" target="_blank" >https://www.mdpi.com/2076-3417/12/8/3939#cite</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app12083939" target="_blank" >10.3390/app12083939</a>

Result language

angličtina

Original language name

Determination of Forest Structure from Remote Sensing Data for Modeling the Navigation of Rescue Vehicles

Original language description

One of the primary purposes of forest fire research is to predict crisis situations and, also, to optimize rescue operations during forest fires. The research results presented in this paper provide a model of Cross-Country Mobility (CCM) of fire brigades in forest areas before or during a fire. In order to develop a methodology of rescue vehicle mobility in a wooded area, the structure of a forest must first be determined. We used a Digital Surface Model (DSM) and Digital Elevation Model (DEM) to determine the Canopy Height Model (CHM). DSM and DEM data were scanned by LiDAR. CHM data and field measurements were used for determining the approximate forest structure (tree height, stem diameters, and stem spacing between trees). Due to updating the CHM and determining the above-mentioned forest structure parameters, tree growth equations and vegetation growth curves were used. The approximate forest structure with calculated tree density (stem spacing) was used for modeling vehicle maneuvers between the trees. Stem diameter data were used in cases where it was easier for the vehicle to override the trees rather than maneuver between them. Although the results of this research are dependent on the density and quality of the input LiDAR data, the designed methodology can be used for modeling the optimal paths of rescue vehicles across a wooded area during forest fires.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10400 - Chemical sciences

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences

ISSN

2076-3417

e-ISSN

2076-3417

Volume of the periodical

12(8)

Issue of the periodical within the volume

3939

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

3939

UT code for WoS article

000785191000001

EID of the result in the Scopus database

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