-
University
GNIS: Geographic Names Information Systems - All features (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Populated Places (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Buildings (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Military (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Water Features (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Historic Features (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Wells (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2080 Intermediate Scenario: 20 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2040 High Scenario: 1 Day Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: High-Tide Flooding: 2100 Intermediate Scenario
National Oceanic and Atmospheric Administration, Department of Commerce —
This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a... -
University
GNIS: Parks and Reserves (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
University
GNIS: Physical Features (2013)
Earth Data Analysis Center, University of New Mexico —
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2100 Intermediate-High Scenario: 1 Day Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2060 Intermediate-Low Scenario: 50 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2080 High Scenario: 20 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2050 Intermediate-Low Scenario: 1 Day Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: High-Tide Flooding: 2050 Intermediate-High Scenario
National Oceanic and Atmospheric Administration, Department of Commerce —
This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2070 High Scenario: 50 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: High-Tide Flooding: 2090 Intermediate-High Scenario
National Oceanic and Atmospheric Administration, Department of Commerce —
This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2030 High Scenario: 20 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred...
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