Detail publikace

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

HRŮZA, P. MIKITA, T. TYAGUR, N. KREJZA, Z. CIBULKA, M. PROCHÁZKOVÁ, A. PATOČKA, Z.

Originální název

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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

Klíčová slova

mobile laser scanning; terrestrial laser scanning; photogrammetry; airborne laser scanning; forest road wearing course

Autoři

HRŮZA, P.; MIKITA, T.; TYAGUR, N.; KREJZA, Z.; CIBULKA, M.; PROCHÁZKOVÁ, A.; PATOČKA, Z.

Vydáno

21. 3. 2018

Nakladatel

MDPI AG

ISSN

2072-4292

Periodikum

Remote Sensing

Ročník

2018

Číslo

10

Stát

Švýcarská konfederace

Strany od

1

Strany do

17

Strany počet

17

URL

https://www.researchgate.net/publication/323938486_Detecting_Forest_Road_Wearing_Course_Damage_Using_Different_Methods_of_Remote_Sensing

BibTex

@article{BUT153306,
  author="Petr {Hrůza} and Tomáš {Mikita} and Nataliya {Tyagur} and Zdeněk {Krejza} and Miloš {Cibulka} and Andrea {Procházková} and Zdeněk {Patočka}",
  title="Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing
",
  journal="Remote Sensing",
  year="2018",
  volume="2018",
  number="10",
  pages="1--17",
  doi="10.3390/rs10040492",
  issn="2072-4292",
  url="https://www.researchgate.net/publication/323938486_Detecting_Forest_Road_Wearing_Course_Damage_Using_Different_Methods_of_Remote_Sensing"
}