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- Predicted Relative Abundance of King Rail (Rallus elegans) in Emergent Marsh, Gulf Coast Joint Venture Region
Predicted Relative Abundance of King Rail (Rallus elegans) in Emergent Marsh, Gulf Coast Joint Venture Region
Aug 24, 2018
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Gulf Coast Prairie LCC
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- Description:
- 2010 Landsat TM satellite imagery was analyzed to develop the KIRA predicted relative abundance model. Three parameters were used in the model : (1) mean open water (MOW) at a 180 m scale, (2) mean spring normalized difference vegetation index (NVDI) at a 180 m scale, and (3) coefficient of variation (CV) of spring modified normailized difference water index (MNDWI) at a 1 km scale. Model output was divided into 5 quantiles for display purposes and to aid interpretation. Model output is displayed in 5 quantiles, with 1 depicting low predicted relative abundance and 5 high.
- Data Provided By:
- Mark Parr, GCJV/USFWS, GIS Analyst
- Data Hosted by:
- ScienceBase (USGS) View Record
- Map Service URL:
- https://gis.usgs.gov/sciencebase2/rest/services/Catalog/5b806408e4b05f6e321951ed/MapServer/
- Content date:
- 2018-02-06 (Publication Date), 2010-03-01 (Start Date), 2010-06-30 (End Date)
- Citation:
- Mark Parr, GCJV/USFWS, GIS Analyst, 20180206, Predicted Relative Abundance of King Rail (Rallus elegans) in Emergent Marsh, Gulf Coast Joint Venture Region: .
- Contact Organization:
-
GCJV/USFWS
Gulf Coast Joint Venture
GCJV/USFWS
- Use Constraints:
This work is licensed under a Creative Commons Attribution 3.0 License.
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About the Uploader
Gulf Coast Prairie LCC
with Gulf Coast Prairie Landscape Conservation Cooperative
This is the admin account for the Gulf Coast Prairie LCC Conservation Planning Atlas
