ALGORITEM ZA PREPOZNAVANJE KRAŠKIH KOTANJ NA PODLAGI DIGITALNEGA MODELA RELIEFA = Algorithm for Karst Depression Recognition Using Digital Terrain Model


Contact
jaroslav.obu [ at ] awi.de

Abstract

The algorithm of automated karst depression recognition uses a digital terrain model (DTM) and mainly applies the methods of moving window with a kernel size of 3 x 3 cells using focal functions. It is divided into four parts: watershed calculation, depression delineation, higher lever depression delineation and non-karst depression elimination. The essential part of algorithm is delineation of depression by the elevation of the lowest border cell of watershed. Depressions of higher level are recognised by filling previously recognised depressions. Performance of algorithm was tested on test area in Kras region (Slovenia) using DTMs with spatial resolution of 12.5 m and 3 m. The results mainly depend on the DTM characteristics and quality, especially on their spatial resolution.



Item Type
Article
Authors
Divisions
Primary Division
Programs
Primary Topic
Peer revision
Peer-reviewed
Publication Status
Published
Eprint ID
33195
Cite as
Obu, J. and Podobnikar, T. (2013): ALGORITEM ZA PREPOZNAVANJE KRAŠKIH KOTANJ NA PODLAGI DIGITALNEGA MODELA RELIEFA = Algorithm for Karst Depression Recognition Using Digital Terrain Model , Geodetski Vestnik, 57 (2), pp. 260-270 .


Download
[img]
Preview
PDF
gv57-2_obu.pdf

Download (335kB) | Preview
Cite this document as:

Share

Research Platforms
N/A

Campaigns


Actions
Edit Item Edit Item