SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

NATURAL RISK ASSESSMENT FOR TRANSPORT ROUTES USING REMOTE SENSING DATA

Alexey Victorov, Veronika Kapralova, Timophey Orlov

First published: 2017-06-20https://doi.org/10.5593/sgem2017/12/s02.073View metrics

Abstract

Risk assessment includes quantitative estimation of damage to a linear engineering structure by exogenous geological processes. Remote sensing data processing using the mathematical morphology of landscape seems to be a promising approach of exogenous hazard risk assessment for linear structures, this issue is examined taking thermokarst plains as an example. The mathematical models of landscape morphological patterns for thermokarst lacustrine plains and thermokarst plains with fluvial erosion is a base of the suggested approach.. As a result we get size distributions of thermokarst depressions (lakes) within thermokarst lacustrine plains and thermokarst plains with fluvial erosion, which allow us to find impact probability of a certain depression at a given distance from a linear structure. Another case deals with continuous appearance and growth of thermokarst depressions; impact probability assessment on linear constructions is done for this case. All theoretical decisions were empirically tested using high precision remote sensing imagery.

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 3

Publication details

Title
NATURAL RISK ASSESSMENT FOR TRANSPORT ROUTES USING REMOTE SENSING DATA
Authors
Alexey Victorov, Veronika Kapralova, Timophey Orlov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2017
Pages
571-578
SWS Citekey
Victorov20172571578
ISSN
1314-2704
ISBN
978-619-7105-99-5
Language
en
Publication type
Conference Paper
Keywords
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list