Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
A new methodology for mapping past rockfall events : from mobile crowdsourcing to rockfall simulation validation
ID
Žabota, Barbara
(
Author
),
ID
Kobal, Milan
(
Author
)
PDF - Presentation file,
Download
(9,97 MB)
MD5: CCC7E37E8126236672970624EFF56A20
URL - Source URL, Visit
https://www.mdpi.com/2220-9964/9/9/514
Image galllery
Abstract
Rockfalls are one of the most common natural hazards in mountainous areas that pose high risk to people and their activities. Rockfall risk assessment is commonly performed with the use of models that can simulate the potential rockfall source, propagation and runout areas. The quality of the models can be improved by collecting data on past rockfall events. Mobile crowdsourcing is becoming a common approach for collecting field data by using smartphones, the main advantages of which are the use of a harmonised protocol, and the possibility of creating large datasets due to the simultaneous use by multiple users. This paper presents a new methodology for collecting past rockfall events with a mobile application, where the locations and attributes of rockfall source areas and rockfall deposits are collected, and the data are stored in an online database which can be accessed via the WebGIS platform. The methodology also presents an approach for calculating an actual source location based on viewshed analysis which greatly reduces the problem of field mapping of inaccessible source areas. Additionally, we present a rockfall database in the Alpine Space that has been created by the presented methodology, and an application of collected data for the calibration and validation of two rockfall models (CONEFALL and Rockyfor3D).
Language:
English
Keywords:
natural hazards
,
rockfall
,
database
,
WebGIS
,
smartphones
,
crowdsourcing
,
modelling
,
mapping
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Publication status:
Published
Publication version:
Version of Record
Year:
2020
Number of pages:
21 str.
Numbering:
Vol. 9, iss. 9, art. 514
PID:
20.500.12556/RUL-121416
UDC:
630*58
ISSN on article:
2220-9964
DOI:
10.3390/ijgi9090514
COBISS.SI-ID:
28771331
Publication date in RUL:
08.10.2020
Views:
1283
Downloads:
317
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
ISPRS international journal of geo-information
Shortened title:
ISPRS int. j. geo-inf.
Publisher:
MDPI
ISSN:
2220-9964
COBISS.SI-ID:
18678550
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.09.2020
Secondary language
Language:
Slovenian
Keywords:
naravne nevarnosti
,
skalni podor
,
podatkovna baza
,
WebGIS
,
pametni telefoni
,
množično zunanje izvajanje
,
modeliranje
,
kartiranje
Projects
Funder:
EC - European Commission
Funding programme:
Interreg Alpine Space
Project number:
ASP 462
Name:
ROCKtheALPS
Funder:
EC - European Commission
Funding programme:
Interreg Alpine Space
Project number:
ASP 635
Name:
GreenRisk4ALPs
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back