Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Mixed Forest (11) was also determined not be appropriate for this map since no mixed pixels existed at this spatial resolution. Developed classes have been altered to exclude the percentage breakdown of impervious surfaces as the breakdown is not appropriate for high resolution mapping (Developed High Intensity (2), Developed Medium Intensity (3), and Developed Low Intensity (4) are reduced to Impervious Surfaces (Class 2)). The data set was also reviewed by local experts in the Santa Cruz area.ĭata does not exist for all classes.There are no pixels representing class 7 (Pasture/Hay), 15 (Estuarine Forested Wetland), 16 (Estuarine Scrub Shrub), 18 (Estuarine Emergent), 24 (Tundra), 25 (Perennial Ice/Snow), 26 (Dwarf Scrub - Alaska specific class), 27 (Sedge/Herbaceous), and 28 (Moss - Alaska specific). It was reviewed by analysts at NOAA Coastal Services Center using high resolution digital aerial photography. No quantitative accuracy assessment has been performed for this data set. As part of the High Resolution C-CAP effort it can alos be used to improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources. The intended use of this dataset is assist in the determination of suitable habitat and conditions for salmonid recovery and restoration.

This high resolution land cover dataset was developed as part of the 'Salmonid Recovery Planning Information Resource for San Mateo and Santa Cruz Counties' project. in 2008, additional processing was applied to the land cover to make the data set more consistent with what is being distributed as a part of the High Resolution C-CAP effort. Land cover data was derived through a combination of image processing methods including image segmentation and rule-based techniques available from the eCognition software package, and more traditional 'cluster-busting' methods. The land cover features in the imagery were classified to the Coastal Change Analysis Program (C-CAP) classification scheme.

This dataset represents land cover for the San Lorenzo River basin in Santa Cruz County, California derived from high resolution imagery. C-CAP Santa Cruz 2001 era High Resolution Land Cover Metadata

Ecognition 9.2