Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 208.2 MB | |
| Created: | Feb 23, 2026 at 7:30 p.m. (UTC) | |
| Last updated: | Mar 09, 2026 at 3:05 p.m. (UTC) (Metadata update) | |
| Published date: | Mar 09, 2026 at 3:05 p.m. (UTC) | |
| DOI: | 10.4211/hs.dab0a73573f5482e8f7b6d24f9104a22 | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
|---|---|
| Views: | 118 |
| Downloads: | 18 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
These folders contain geophysical data from Yosemite's Mariposa Grove of Giant Sequoias, site of the Bedrock Cluster of NSF's Critical Zone Collaboration Network. These folders contain ground penetrating radar (GPR) and seismic refraction tomography (SRT) data, which are associated with Anya Gupta (anyagup@vt.edu) MS thesis that aims to visualize giant sequoia roots using noninvasive geophysical methods. This project is funded by NSF grant EAR-2012353. Seismic imaging reveals spatial variability in soil and weathered bedrock, while GPR can non-invasively resolve root features. This knowledge may provide a framework for developing management strategies to enhance sequoia resilience under intensifying drought conditions, and highlights the role that GPR can play in protected ecosystems where root exhumation or deep coring is not possible.
Note: GPR data can be viewed using the open-source ground penetrating radar processing and visualization software GPRPy (Plattner 2020).
Plattner, A. M. (2020). GPRPy: Open-source ground-penetrating radar processing and visualization software. The Leading Edge, 39(5), 332–337. https://doi.org/10.1190/tle39050332.1
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| NSF | Collaborative Research: Network Cluster: Bedrock controls on the deep critical zone, landscapes, and ecosystems | EAR-2012353 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment