 |
| Titel |
Derivation of channel network of an alpine region from high-resolution DTM: the example of the Autonomous Province of Trento (Italy) |
| VerfasserIn |
Marco Cavalli, Sebastiano Trevisani, Beatrice Goldin, Elena Mion, Lorenzo Marchi |
| Konferenz |
EGU General Assembly 2011
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250053031
|
|
|
|
|
|
| Zusammenfassung |
| The availability of high-resolution digital terrain models (HR-DTMs) of regional coverage
opens interesting prospects for the analysis and management of landscape. These terrain
models offer an unprecedented capability to interpret surface morphology and the related
geomorphic and hydrological processes. Moreover, the availability of regional HR-DTMs is
increasing, thanks to technological developments and decreasing costs of data acquisition and
processing. An important issue in landscape analysis is the definition of the channel network.
The mapping of the channel network plays a fundamental role in different landscape
management issues, such as technical cartography, water resources management,
geo-hydrological risk analysis, and legal matters related to land use. We present our
experience in the derivation of channel network from regional HR-DTM for an alpine region
(Autonomous Province of Trento, Northern Italy), covering an area of 6500 km2. For this
region a HR-DTM (cell size of 2 m), derived from an airborne LiDAR survey, is
available. Initially, we tested different morphological algorithms for extracting the
channel network from the HR-DTM: a curvature-based and a modified slope-area
approach. Both approaches generate suitable results in terms of drainage density and
channel heads location, but the curvature-based algorithm was preferred for its better
performance in low-slope areas. However, the automatically derived channel network
represents a raw hydrographic network that needs a supervised control analysis.
The check and correction procedure was carried out by means of interpretation of
high-resolution orthophoto imagery (panchromatic and near-infrared, pixel size 0.5 m),
geomorphometric indexes derived from the HR-DTM (shaded relief, openness, local
anomalies, curvature, etc.), technical cartography (1:10000 and 1:25000 scale) and field
surveys. |
|
|
|
|
|
|