C-CAP Land Cover, Lower Columbia River Estuary, Oregon, Washington, 2009

Date that the source FGDC record was last modified.

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Partial upload of Positional Accuracy fields only.

Partial upload to move data access links to Distribution Info.

LCREP | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM

This dataset was created by Sanborn (www.sanborn.com)and NOAA OCM. This version of the classification is the High Resolution Land Cover (2009-era) for the Lower Columbia River. Summary: This section outlines the classification procedure for the Lower Columbia River High Resolution C-CAP. This product was developed through a partnership between the Lower Columbia River Estuary Partnership (LCREP) and the NOAA Office for Coastal Management. The development process occurred in 2 phases. During Phase 1, Sanborn Solutions created a land cover dataset for the lower Columbia River estuary with an emphasis on estuarine and freshwater vegetation and habitats using classification scheme developed specifically for the needs of LCREP. NOAA OCM provided technical assistance and quality assurance services to LCREP and Sanborn. During Phase 2, NOAA OCM took LCREP's final product and retrofitted for addition to the high resolution C-CAP product line. The product was derived from high resolution 4 band digital imagery in combination with LiDAR elevation data. In addition to the primary data sources, many supporting datasets such as archived Landsat imagery, the NWI and a Hydrologic Influence Layer, were used to enhance the classification. The mapping methodology employed an object oriented (image segmentation) approach. Phase 1: The land cover data was generated via object oriented classification. Field data collection was performed by SWCA Environmental Consultants. Image objects (segments) formed the base unit for field data collection and analysis. Sanborn performed an initial automated classification using Classification and Regression Tree (CART) analysis. Additional modeling was performed at the segment level using eCognition. Features that could not be captured successfully through CART or Spatial Models were addressed through manual editing. The final MMU was 0.25 acres. Attributes for the LCREP product are as follows: 10 Coniferous Upland Forest; 11 Deciduous Upland Forest; 21 Coniferous Wetland Forest; 22 Deciduous wetland forest; 40 Upland Shrub-Scrub; 41 Wetland Shrub-Scrub; 50 Upland Herbaceous; 51 Wetland herbaceous; 60 Aquatic Bed; 70 Agriculture; 71 Tree farms; 80 Bare; 81 Mud; 82 Sand; 84 Rock; 90 Urban Impervious; 91 Open Space Developed; 93 Water Phase 2: NOAA OCM utilized the source imagery and the LCREP product to create a High Resolution C-CAP dataset. This involved several steps. 1)Impervious surfaces and Open Spaced Developed were remapped to finer minimum mapping unit (MMU). This involved resegmenting to a finer scale and applying threshold models. The impervious MMU was refined to 0.05 acres. 2)LCREP classes were crosswalked and/or consolidated to C-CAP classes. 3) Modeling in eCognition and Manual edits were applied to LCREP categories that did not exhibit a direct crosswalk. The map maintains a 0.25 acre MMU for non-impervious classes. Attributes for the final C-CAP product are as follows:

0 Background; 1 Unclassified; 2 Impervious; 3; 4; 5 Developed, Open Space; 6 Cultivated Crops; 7 Pasture/Hay; 8 Grassland/Herbaceous; 9 Deciduous Forest; 10 Evergreen Forest; 11 Mixed Forest; 12 Scrub/Shrub; 13 Palustrine Forested Wetland; 14 Palustrine Scrub/Shrub Wetland; 15 Palustrine Emergent Wetland; 16 Estuarine Forested Wetland; 17 Estuarine Scrub/Shrub Wetland; 18 Estuarine Emergent Wetland; 19 Unconsolidated Shore; 20 Bare Land; 21 Open Water; 22 Palustrine Aquatic Bed

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