C-CAP Land Cover, National Estuarine Research Reserve, Wells, Maine, 2012

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

This data set was created by Photo Science Inc. (www.photoscience.com)and NOAA OCM.

This version of the classification is the High Resolution Land Cover (2012-era) for the National Estuarine Research Reserve, Wells, Maine.

Summary:

This section outlines the classification procedure for the Wells, Maine 2012 High Resolution C-CAP. This product was developed through a partnership between the Wells, National Estuarine Research Reserve (NERR) and the NOAA Office for Coastal Management. 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 data sets such as NAIP imagery, the NWI and a NERR classification, were used to enhance the classification. The mapping methodology employed an object oriented (image segmentation) approach. Impervious features were mapped using a 0.1 acre minimum mapping unit (MMU) and non impervious features using a 0.25 acre MMU.

Task 1 Field Collection:

Field data collection occurred in November, 2012 by NOAA Office for Coastal Management. Image objects (segments) formed the base unit for field data collection and analysis.

Task 2 Pre-processing:

Orthoimagery from the spring of 2012 was re-sampled to 2.4 m and pre-processed into image indicies and band derivatives. LiDAR data collected by the Federal Emergency Management Agency (FEMA) and the Maine Office of GIS (MEGIS) were processed into elevation and surface models.

Task 3 Impervious:

Impervious features were classified using photo interpretation and manual digitizing.

Task 4 Land Cover Classification:

Image segmentation was performed in Trimble's eCognition software. The resulting image objects or segments were classified into life form classes using Classification and Regression Tree Analysis (CART). Logical rule sets and contextual modeling were used to introduce land use classes such as Developed Open Space, and to improve, and refine the land cover classification. A second segmentation based on slope data was performed that targeted wetland features. The segments were classified into Palustrine and Estuarine wetland classes and modeled into the land cover classification. Unconsolidated features are of special interest to NERR. In order to better represent their extent alternate low tide imagery from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative was used to classify these features within the estuary. Anomalies in the classification that were not addressed through the automated processes were corrected through manual editing.

Task 5 Finalization:

Internal review and external QA were conducted and final revisions to the map were made.

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

23 Estuarine Aquatic Bed

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