Detecting forest road wearing course damage using different methods of remote sensing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F18%3A43913640" target="_blank" >RIV/62156489:43410/18:43913640 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26110/18:PU130550

Result on the web

<a href="https://doi.org/10.3390/rs10040492" target="_blank" >https://doi.org/10.3390/rs10040492</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs10040492" target="_blank" >10.3390/rs10040492</a>

Result language

angličtina

Original language name

Detecting forest road wearing course damage using different methods of remote sensing

Original language description

Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.

Czech name

—

Czech description

—

Type

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

CEP classification

—

OECD FORD branch

40102 - Forestry

Project

<a href="/en/project/LO1408" target="_blank" >LO1408: AdMaS UP – Advanced Building Materials, Structures and Technologies</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

"Nestrankovano"

UT code for WoS article

000435187500004

EID of the result in the Scopus database

2-s2.0-85045988260