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| Type: | Resource | |
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| Created: | Nov 19, 2019 at 6:22 a.m. (UTC) | |
| Last updated: | Mar 06, 2020 at 6:50 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Public |
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Abstract
To develop and calibrate a systematic approach for gullies identification from Digital Elevation Models we measured morphological characteristics of gullies at the Calhoun CZO. Gullies reference perimeters have been defined by a Georgia Tech team during a field survey (June 29-30 2015) through a visual identification of the change in slope at the top of the gully walls (i.e. the point where the relatively flat gully margins starts to slope into the gully). The perimeter coordinates have been acquired using a differential GPS total station (Topcon Hiper Lite +) in RTK (real Time Kinematic) mode with a horizontal accuracy of about 25 cm.
Subject Keywords
Coverage
Spatial
Temporal
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Additional Metadata
| Name | Value |
|---|---|
| czos | Calhoun |
| czo_id | 4681 |
| keywords | geomorphology, gullies, landforms, elevation |
| variables | Gully boundaries (acquired as separate points and a-posteriori transformed in polylines) |
| disciplines | Geomorphology, Hydrology |
Related Resources
| This resource is referenced by | Noto, L. V., Dialynas, Y., Bastola, S., and Bras, R. L. (2015). Integration of fuzzy logic and image analysis for the detection of gullies in the Calhoun forest using airborne LiDAR data. Calhoun CZO 2015 Summer Science Meeting |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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