scholarly journals Improvements in large-scale drainage networks derived from digital elevation models

2006 ◽  
Vol 42 (8) ◽  
Author(s):  
Adriano Rolim Paz ◽  
Walter Collischonn ◽  
André Luiz Lopes da Silveira
Keyword(s):  
Large Scale ◽  
Digital Elevation Models ◽  
Drainage Networks ◽  
Digital Elevation

A flooding algorithm for extracting drainage networks from unprocessed digital elevation models

2013 ◽  
Vol 59 ◽  
pp. 116-123 ◽  
Author(s):  
Antonio Rueda ◽  
José M. Noguera ◽  
Carmen Martínez-Cruz
Keyword(s):  
Digital Elevation Models ◽  
Drainage Networks ◽  
Digital Elevation

Drainage networks from grid digital elevation models

1991 ◽  
Vol 27 (5) ◽  
pp. 709-717 ◽  
Author(s):  
John Fairfield ◽  
Pierre Leymarie
Keyword(s):  
Digital Elevation Models ◽  
Drainage Networks ◽  
Digital Elevation

scholarly journals Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models

Geosciences ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 117 ◽  
Author(s):  
František Chudý ◽  
Martina Slámová ◽  
Julián Tomaštík ◽  
Roberta Prokešová ◽  
Martin Mokroš
Keyword(s):  
Large Scale ◽  
Forest Canopy ◽  
Digital Elevation Models ◽  
Canopy Cover ◽  
Point Clouds ◽  
Tree Canopy ◽  
Automatic Identification ◽  
Optical Parameters ◽  
Micro Scale ◽  
Digital Elevation

An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point clouds. Data noise or systematic errors (missing data) make the automatic identification of landforms under tree canopy problematic or impossible. We processed, analyzed, and interpreted data from a large-scale landslide survey, which were acquired by the light detection and ranging (LiDAR) technology, remotely piloted aircraft system (RPAS), and close-range photogrammetry (CRP) using the ‘Structure-from-Motion’ (SfM) method. LAStools is a highly efficient Geographic Information System (GIS) tool for point clouds pre-processing and creating precise digital elevation models (DEMs). The main landslide body and its landforms indicating the landslide activity were detected and delineated in DEM-derivatives. Identification of micro-scale landforms in precise DEMs at large scales allow the monitoring and the assessment of these active parts of landslides that are invisible in digital terrain models at smaller scales (obtained from aerial LiDAR or from RPAS) due to insufficient data density or the presence of many data gaps.

scholarly journals Drainage networks and watersheds delineation derived from TIN-based digital elevation models

2016 ◽  
Vol 92 ◽  
pp. 21-37 ◽  
Author(s):  
Henrique Rennó de Azeredo Freitas ◽  
Corina da Costa Freitas ◽  
Sergio Rosim ◽  
João Ricardo de Freitas Oliveira
Keyword(s):  
Digital Elevation Models ◽  
Drainage Networks ◽  
Digital Elevation
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