Geomorphological mapping of the state of Paraná with digital classification method of landform patterns

The digital classification method of landform patterns that was applied in the geomorphological mapping of the State of Paraná is presented. A Digital Terrain Model (MDT) was used to obtain three variables: 1) altimetric amplitude (AA), 2) average slope (AS) and 3) topographic position index (TPI), which were combined for classification compatible with the fourth geomorphological taxon, at a scale of 1:100,000. Sixteen classes of landform patterns were obtained: Flat Low Hills; Low Hills; Steep Low Hills; Terrain dissected between hills; Hills; High Hills; Dissected Hills; Steep High Hills; Elongated Structural Hills; Low Mountains; High Mountains; Plateau Edges; Strucutural Plateaus and Canyons; Fluviomarine Plain; Fluvial Plain and Colluvial Ramps. The method was consistent with the scale, the geomorphological characteristics and the intended representation and, after undergoing field verification with the collection of 225 points over 8,000km, it proved to be reliable at the desired level of representation, with overall mapping accuracy of 89.71%, with a slight predominance of overestimated areas (5.76%) compared to underestimated areas (4.53%), denoting the replicability of the method.

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Publication Details

Journal
Revista Brasileira de Geomorfologia
Published
2025-03-20
DOI
https://doi.org/10.20502/rbg.v26i1.2561
Primary Topic
Geography and Environmental Studies
Type
article
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article

Geomorphological mapping of the state of Paraná with digital classification method of landform patterns

Willian Bortolini, Claudinei Taborda da Silveira, Ricardo Michael Pinheiro Silveira, Victor Pierobom de Almeida
Revista Brasileira de Geomorfologia
Geography and Environmental Studies
article

Geomorphological mapping of the state of Paraná with digital classification method of landform patterns

Willian Bortolini, Claudinei Taborda da Silveira, Ricardo Michael Pinheiro Silveira, Victor Pierobom de Almeida
article en

Abstract

The digital classification method of landform patterns that was applied in the geomorphological mapping of the State of Paraná is presented. A Digital Terrain Model (MDT) was used to obtain three variables: 1) altimetric amplitude (AA), 2) average slope (AS) and 3) topographic position index (TPI), which were combined for classification compatible with the fourth geomorphological taxon, at a scale of 1:100,000. Sixteen classes of landform patterns were obtained: Flat Low Hills; Low Hills; Steep Low Hills; Terrain dissected between hills; Hills; High Hills; Dissected Hills; Steep High Hills; Elongated Structural Hills; Low Mountains; High Mountains; Plateau Edges; Strucutural Plateaus and Canyons; Fluviomarine Plain; Fluvial Plain and Colluvial Ramps. The method was consistent with the scale, the geomorphological characteristics and the intended representation and, after undergoing field verification with the collection of 225 points over 8,000km, it proved to be reliable at the desired level of representation, with overall mapping accuracy of 89.71%, with a slight predominance of overestimated areas (5.76%) compared to underestimated areas (4.53%), denoting the replicability of the method.

Revista Brasileira de GeomorfologiaVol. 26(1)
Universidade Estadual do Centro-Oeste (BR), Universidade Federal do Paraná (BR)
Openalex Percentile: Top 93%
Geography and Environmental Studies
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