Physically based morphostructural land surface segmentation: Case of the Alps and Western Carpathians

被引:3
作者
Bandura, Peter [1 ,2 ]
Minar, Jozef [1 ]
Bielik, Miroslav [3 ,4 ]
机构
[1] Comenius Univ, Dept Phys Geog & Geoinformat, Bratislava, Slovakia
[2] SkyToll As, Bratislava, Slovakia
[3] Comenius Univ, Dept Engn Geol Hydrol & Appl Geophys, Bratislava, Slovakia
[4] Slovak Acad Sci, Earth Sci Inst, Bratislava, Slovakia
关键词
OBJECT-BASED CLASSIFICATION; TOPOGRAPHY; IMAGE; EVOLUTION; UPLIFT; BASIN; OPTIMIZATION; SUBDIVISION; LANDSCAPE; PLIOCENE;
D O I
10.1111/tgis.12847
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The presented morphostructural segmentation of the Alps and Western Carpathians uses physically based geomorphometric variables as input data and object-based image analysis as a procedure to delineate objects of interest. A previous suitability evaluation of simple object-based methodology showed its potential in recognition of morphostructural features. When segmenting the Western Carpathians, we moved towards a more specific object-based approach-a fusion of segmentation and classification at several hierarchical levels. Such an approach was evaluated as not necessary in the less contrasting terrain in the Alps, where only a simple segmentation was used for evaluation of its efficiency. Use of physically based geomorphometric variables as input data brought enhancement of subsequent morphotectonic interpretations. After the segmentations, an index of steady state (ISS) for the entire object levels and their parts was computed. This ISS was used to evaluate and compare the two study areas in terms of their geodynamic development. Similarities and differences in development of these relatively alike mountain ranges are interpreted.
引用
收藏
页码:2394 / 2418
页数:25
相关论文
共 77 条
[11]   Object based image analysis for remote sensing [J].
Blaschke, T. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) :2-16
[12]   Geomorphological mapping using object-based analysis and ASTER DEM in the Paraiba do Sul Valley, Brazil [J].
Camargo, F. F. ;
Florenzano, T. G. ;
de Almeida, C. M. ;
de Oliveira, C. G. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (24) :6613-6620
[13]   Transformation (normalization) of slope gradient and surface curvatures, automated for statistical analyses from DEMs [J].
Csillik, O. ;
Evans, I. S. ;
Dragut, L. .
GEOMORPHOLOGY, 2015, 232 :65-77
[14]   Object-based classification of global undersea topography and geomorphological features from the SRTM30_PLUS data [J].
Dekavalla, Maria ;
Argialas, Demetre .
GEOMORPHOLOGY, 2017, 288 :66-82
[15]   Late-Pleistocene catchment-wide denudation patterns across the European Alps [J].
Delunel, Romain ;
Schlunegger, Fritz ;
Valla, Pierre G. ;
Dixon, Jean ;
Glotzbach, Christoph ;
Hippe, Kristina ;
Kober, Florian ;
Molliex, Stephane ;
Norton, Kevin P. ;
Salcher, Bernhard ;
Wittmann, Hella ;
Akcar, Naki ;
Christl, Marcus .
EARTH-SCIENCE REVIEWS, 2020, 211
[16]   Application of integrated geophysical modeling for determination of the continental lithospheric thermal structure in the eastern Carpathians [J].
Dererova, Jana ;
Zeyen, Hermann ;
Bielik, Miroslav ;
Salman, Karmah .
TECTONICS, 2006, 25 (03)
[17]   Fracture density and grain size controls on the relief structure of bedrock landscapes [J].
DiBiase, Roman A. ;
Rossi, Matthew W. ;
Neely, Alexander B. .
GEOLOGY, 2018, 46 (05) :399-402
[18]   Automated parameterisation for multi-scale image segmentation on multiple layers [J].
Dragut, L. ;
Csillik, O. ;
Eisank, C. ;
Tiede, D. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 88 :119-127
[19]  
Dragut L, 2018, PEERJ PREPR, V6, DOI 10.7287/peerj.preprints.27083v1
[20]   Automated classification of landform elements using object-based image analysis [J].
Dragut, Lucian ;
Blaschke, Thomas .
GEOMORPHOLOGY, 2006, 81 (3-4) :330-344