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Found 3 datasets matching filters.

#1 Federal
NOAA's Coastal Change Analysis Program (C-CAP) land cover change data for the Continental and Coastal United States and Hawaii from 1975 to 2021 (NCEI Accession 0121254)
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Dataset Last Updated: May 21, 2025 at 12:00 AM
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal...
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Search relevance: 1.00 | Views last month: 10 | Catalog Last Checked: May 06, 2026 at 01:41 AM
#2 Federal
Land Cover Classification for Fanno Creek, Oregon
- Organization: Department of the Interior
- Dataset Last Updated: November 17, 2020 at 12:00 AM
Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic...
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Search relevance: 1.00 | Views last month: 2 | Catalog Last Checked: May 05, 2026 at 09:20 PM
#3 Federal
EPIC Forest LAI Dataset: LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in VA and NC.
- Organization: U.S. Environmental Protection Agency
- Dataset Last Updated: January 26, 2018
This data depicts calculated and validated LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest...
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Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: April 21, 2026 at 07:57 PM

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NOAA's Coastal Change Analysis Program (C-CAP) land cover change data for the Continental and Coastal United States and Hawaii from 1975 to 2021 (NCEI Accession 0121254)

Land Cover Classification for Fanno Creek, Oregon

EPIC Forest LAI Dataset: LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in VA and NC.