RCCZO -- GIS / Map Data, LiDAR, Land Cover, Topographic Carbon Storage, Soil Biogeochemistry -- Near-surface soil organic carbon maps -- Reynolds Creek Experimental Watershed -- (2014-2017)
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Owners: | CZO ReynoldsCZO National |
Type: | Resource |
Storage: | The size of this resource is 5 bytes |
Created: | Feb 25, 2020 at 9:31 p.m. |
Last updated: | Apr 24, 2020 at 5:21 p.m. |
Citation: | See how to cite this resource |
Sharing Status: | Discoverable |
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Abstract
The SOC (Soil Organic Carbon) pool is a large carbon reservoir that is closely linked to climatic drivers. In complex terrain, quantifying SOC storage is challenging due to high spatial variability. Generally, point data is distributed by developing quantitative relationships between SOC and spatially-distributed, variables like elevation. In many ecosystems, remotely sensed information on above-ground vegetation (e.g. NDVI) can be used to predict below-ground carbon stocks. With this research, we evaluated SOC variability in complex terrain and attempt to improve upon SOC models by incorporating hyperspectral and LiDAR datasets.
Subject Keywords
Coverage
Spatial












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Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | Reynolds Creek Critical Zone Observatory | EAR-1331872 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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USDA-ARS Northwest Watershed Research Center | Reynolds Creek Experimental Watershed | |||
Boise State University |
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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