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Coastal Landcover
Trends (1996-2010)
& Application in the Northwest
eric.morris@noaa.govRemote Sensing Specialist
www.coast.noaa.gov/digitalcoast/
Regional Land Cover and Change Information• 25% of the contiguous U.S., authoritative source for coastal landcover
• Coastal expression of the NLCD (National Land Cover Database)
• NLCD is 90%+ C-CAP in coastal areas
• National snapshot, updated every five years (1996, 2001, 2006, 2011)
(Some areas go further back)
• Added focus on wetlands detail
• Produced through “change detection
and update” mapping
Historic Dates of C-CAP and Data Partnerships
1992 Era•Mid-Atlantic with Chesapeake Bay Program Office (CBPO) funded by NOAA
•Washington State funded by WA Department of Ecology
•Lake MI Basin funded by Great Lakes Restoration Initiative (GLRI)
1985 and 1975 Eras•Funded by GLRI
Water Open Water Palustrine Aquatic Bed Estuarine Aquatic Bed
Wetlands Woody Wetlands Palustrine Forested Wetland Palustrine Scrub/Shrub Wetland Estuarine Forested Wetland Estuarine Scrub/Shrub Wetland Herbaceous Wetlands Palustrine Emergent Wetland Estuarine Emergent Wetland
Perennial Ice/Snow
Alaska Only Classes* Dwarf Scrub Sedge/Herbaceous Lichens Moss
Developed Developed, High Intensity Developed, Medium Intensity Developed, Low Intensity Developed, Open Space
Agricultural Cultivated Crops Pasture/Hay
Rangeland Grassland and Herbaceous Scrub / Shrub
Forest Land Deciduous Forest Evergreen Forest Mixed Forest
Barren Land Barren Land Unconsolidated Shore
Coastal Land Cover Classes
C-CAP Regional Land Cover Change Reports
9,687 mi2 change
(6% of the entire area)
Total Change
1996 to
2010
+ 8,887 mi2
Development
1996 to
2010
Forest1996
to 2010
WetlandNet Losses = 10 mi2
1996 to
2010
Partnership funded through a U.S. EPA grant to the
Washington State Department of Ecology.
Wetland Improvements Pilot
Wetland Modeling Background
Background:
•Improve wetland accuracies
•Use data & methods extendable nationally
•Align to FGDC wetland mapping standard
•Allow for multiple “wetland” definitions
•Integrate RS & ancillary data
Challenges:
•Non-Wetland wetlands
•Dense canopies
•Landsat scale not best for wetlands
•Ancillary data not nationally available
•Best data still has problems
NOAA Wetland Modeling MethodTwo-Step Process
•Step 1: Create a wetland potential surface– From nationally available / standard data sets
– Using strengths of each to overcome the weaknesses of others
•Inputs:– Gridded Soil Survey Geographic (gSSURGO) database– National Wetlands Inventory (NWI)– National Hydrography Dataset (NHD)– National Elevation Data (NED)– Landsat TM Imagery– Existing Land Cover and (C-CAP)
Potential SurfaceWA Example
Compared to gSSURGO input data
NOAA Wetland Modeling Method
• Step 2: Flag and correct– Potential surface used as a
mask to flag possible uplands or lowland switches
– Spectral thresholds other models fixes applied
Before and After of the Wetland Improvements
Potential Wetland / Upland Flips
Before and After example
C-CAP Land Cover Atlas (LCA)www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
Use Snohomish
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
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www.coast.noaa.gov/ccapatlas/
2005
1996-2005
2013
2005-2010
1990
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
www.coast.noaa.gov/ccapatlas/
1996-2001
2001-2005
2005-2010
www.coast.noaa.gov/ccap-comparison
coast.noaa.gov/ccap-comparison
Hi-Resolution C-CAP Land Cover
Oahu, 2011
• Applies nat’l framework for the local level• Consistent with C-CAP nat’l products• Allows for “hot spot” analysis• Exemplifies a cost-share model• Response to customer demand • Partner driven
Moderate Resolution (30m) High Resolution (2.4m)
C-CAP Change Matrix
High Resolution C-CAP Land Cover
2009 Lower Columbia Estuary
Longview, WA
Digital Coast Tools using C-CAP
• Coastal county Snapshots• Coastal Flood Exposure Mapper• Habitat Priority Planner (HPP)• Impervious Surface Analysis Tool (ISAT)• OpenNSPECT• Landscape Fragmentation Tool (UCONN’s CLEAR)
*Landscape Fragmentation Tool has been developed by the University of Connecticut’s Center for Land Use Education & Research (CLEAR)
www.coast.noaa.gov/digitalcoast
Eric L. MorrisEric.Morris@noaa.gov
Questions?
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