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GCE-LTER Data Set Summary
| Accession: | GPH-GCED-2309 | Research Theme: | Geophysics (Directed Study) |
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| Contributors: | Zhicheng Yang, Zhicheng Yang, Merryl Alber | ||
| Title: | The dynamics of marsh-channel slump blocks: an observational study using repeated drone imagery | ||
| Abstract: | We analyzed the spatial and temporal dynamics of slump blocks within Dean Creek, a creek located on Sapelo Island (GA) and surrounded by salt marsh. To accomplish this, we utilized 11 images of Dean Creek captured between March 2020 and March 2021, which were acquired by using a DJI Matrice 210 UAV. For each image, we manually digitized the perimeters of slump blocks, which have the distance from intact marsh boundary exceeding 0.3 m. These digitized perimeters were subsequently converted into polygons to determine the size, number and cumulative area of slump blocks in each image. Temporal changes to the slump blocks between subsequent images were also analysed. The coordinate system of these polygon data is WGS 1984 UTM Zone 17N. | ||
| DOI: | 10.6073/pasta/50733fd3853c6ffa97f1d65ab6b17234 | ||
| Key Words: | creeks, disturbance, erosion, geomorphology, salt marshes, Sapelo Island | ||
| LTER Core Area: | Disturbance Patterns | ||
| Research Themes: | Geophysics | ||
| Study Period: | 01-Mar-2020 to 01-Sep-2023 | ||
| Study Sites: |
DC_drone -- Dean Creek drone imagery area, Sapelo Island, Georgia, USA
Sapelo -- Sapelo Island, Sapelo Island, Georgia » Download Geographic Coverage:
Google Earth
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| Publications: |
Yang, Z., Alexander, C.R. Jr. and Alber, M. 2024. The dynamics of marsh-channel slump blocks: an observational study using repeated drone imagery. Biogeosciences. 21:1757-1772. (DOI: https://doi.org/10.5194/bg-21-1757-2024) |
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Downloads: 
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GIS Vector Data: GPH-GCED-2309_shapefiles (Shapefiles of the slump digitized slump blocks) Access: Public (released 25-Sep-2023) Metadata: XML (Ecological Metadata Language) Data Formats: Zip archive [734 kb] |
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| Citation: | Yang, Zhicheng. 2023. The dynamics of marsh-channel slump blocks: an observational study using repeated drone imagery. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/50733fd3853c6ffa97f1d65ab6b17234 | ||
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