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VAT method for visualization of mass movement features : an alternative to hillshaded DEM
ID Verbovšek, Timotej (Author), ID Popit, Tomislav (Author), ID Kokalj, Žiga (Author)

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Abstract
Hillshaded digital elevation models are a well-known information layer used to determine the geomorphological properties of landslides. However, their use is limited because the results are dependent on a particular sun azimuth and elevation. Approaches proposed to overcome this bias include positive openness, sky-view factor, red relief image maps, and prismatic openness. We propose an upgrade to all these methods, a method named Visualization for Archaeological Topography (VAT). The method is based on a fusion of four information layers into a single image (hillshaded terrain, slope, positive openness, and sky-view factor). VAT can be used to enhance visibility of features of varied scale, height, orientation, and form that sit on terrain ranging from extremely flat to very steep. Besides this, the merits of VAT are that the results are comparable across diverse geographical areas. We have successfully tested the method for landslide recognition and analysis in five different areas in the Vipava Valley (SW Slovenia). Geomorphology of the area is very diverse and holds various types of mass movements. In contrast to classical hillshaded digital elevation models (DEMs), the geomorphological features of landslides obtained by the VAT method are very clearly seen in all studied mass movements.

Language:English
Keywords:landslides, geomorphology, VAT, SVF, lidar, aerial laser scanning, Vipava Valley
Work type:Article (dk_c)
Typology:1.01 - Original Scientific Article
Organization:NTF - Faculty of Natural Sciences and Engineering
Year:2019
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:14 str.
Numbering:Vol. 11, iss. 24, art. 2946
UDC:55
ISSN on article:2072-4292
DOI:10.3390/rs11242946 This link opens in a new window
COBISS.SI-ID:1529950 This link opens in a new window
Publication date in RUL:10.11.2021
Views:155
Downloads:53
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Record is a part of a journal

Title:Remote sensing
Shortened title:Remote sens.
Publisher:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 This link opens in a new window

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:09.12.2019

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project number:P2-0406
Name:Opazovanje Zemlje in geoinformatika

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project number:P1-0195
Name:Geookolje in geomateriali

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project number:J6-9395
Name:Opazovanje suše v visoki ločljivosti z modeliranjem talnih in satelitskih podatkov

Funder:Drugi - Drug financer ali več financerjev
Funding programme:International Consortium on Landslides
Project number:IPL-216
Name:Diversity and hydrogeology of mass movements in the Vipava Valley, SW Slovenia

Funder:Drugi - Drug financer ali več financerjev
Funding programme:International Consortium on Landslides Adriatic-Balkan Network

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