Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 20071116 remote-sensing image Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) http://www.csc.noaa.gov/digitalcoast/ This is a final impervious surface layer ready for distribution through NOAA CSC. The data set is an inventory of impervious surfaces for the island of Maui, Hawaii for the year 2007. Impervious surfaces prevent infiltration of precipitation into the soil, disrupting the water cycle and affecting both the quantity and quality of water resources. Impervious surfaces include manmade features such as building rooftops, parking lots and roads consisting of asphalt, concrete and/or compacted dirt. This data set utilized 52 full or partial Quickbird multispectral scenes which were processed to detect impervious features on the island of Maui. To create a baseline inventory of impervious surfaces which can be utilized by state and local resource managers to assess the impacts precipitation events on water quality and flooding. 20060904 Acquisition date of the Quickbird Scenes Complete 5 years -156.704065 -155.947783 21.033721 20.567587 CoRIS Theme Thesaurus EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment > Mapping EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment > Remote Sensing CoRIS Discovery Thesaurus Geographic Information > Habitats ISO 19115 Topic Category imageryBaseMapsEarthCover 010 None Remotely Sensed Imagery/Photos Land Cover Analysis Impervious None Coastal Zone Hawaii Maui Maui County CoRIS Place Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui Island > Maui Island (20N156W0004) COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Maui Island (20N156W0004) CoRIS Region MHI None Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350 No automated accuracy was performed during or at the end of the impervious map production process. Quality Control was carried out by cross-examination Maui Impervious map with the QuickBird image. Errors of omission and commission were corrected. All impervious objects sized smaller than the Minimum Mapping Unit (25 sq m) were ignored and not included in Maui impervious map Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent. Data set is complete. 12 meters CE90 There was no terrain correction in the geo-referencing procedure. MDA Federal www.mdafederal.com 20071116 remote-sensing image Charleston SC NOAA's Ocean Service, Coastal Services Center (CSC) http://www.csc.noaa.gov/landcover DVD/CD-ROM 20060904 Date of the Quickbird scenes NOAA CSC NOAA CSC This dataset was created by the MDA Federal, Inc. The impervious surface classification is based on Quickbird imagery. The study area for the project was the island of Maui, U.S. Hawaiian Island Chain. Automated Classification: The first step in the classification methodology involved incorporating automated techniques. MDA Federal analysts utilized the Feature Analyst software extension (standard edition) for Erdas Imagine platform to extract impervious surfaces from the Quickbird imagery.This was performed by providing the software with Quck Bird image-interpreted polygon examples which "train" the software's learning mechanism to recognize impervious surface features for extraction from the imagery. The software then provides the user with an automated output. This automated output captures a large percentage of the existing impervious surface features within the imagery but does not meet the required accuracy. Classes 0 - Pervious 1 - Impervious 20071116 CRS (Coastal Remote Sensing) Program Manager NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP) CRS Program Manager mailing and physical address

2234 S. Hobson Ave.

Charleston SC 29405 USA 843-740-1210 843-740-1224 clearinghouse@noaa.gov 8:00 am to 5:00 p.m. EST. M-F Manual editing and modeling: Errors or areas that could not be consistently extracted from the imagery were resolved through manual edits and using ancillary data sets. In some areas of the island, impervious surface features are obscured by clouds, shadows or tree canopy. For these types of issues MDA Federal employed the USGS DLG data for Hawaii to fill in missing secondary and compacted dirt roads. Due to spectral confusion between impervious surfaces and other features such as bare land manual editing was performed in Erdas Imagine to correct comission errors within the map. The same technique was used to capture missing impervious features that could not be derived from ancillary data sources. 20071116 NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP) CRS Program Manager mailing and physical address

2234 S. Hobson Ave.

Charleston SC 29405 USA 843-740-1210 843-740-1224 csc@noaa.gov Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time Metadata imported 20071116 NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP) CRS Program Manager mailing and physical address

2234 S. Hobson Ave.

Charleston SC 29405 843-740-1210 843-740-1224 csc@noaa.gov Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time Raster Pixel 20980 32481 1 Universal Transverse Mercator 4 0.999600 -159.000000 0.000000 500000.000000 0.000000 Row and Column 2.400000 2.400000 meters D_WGS_1984 WGS_1984 6378137.000000 298.257224 Layer_1 Island of Maui delineated by Quickbird Scene(s) collected on September 04, 2006 unknown Value 0 or 1 indicates whether pixel is impervious or not. NOAA Coastal Services Center High-Resolution Land Cover Project 0 Pervious Features which allow infiltration from precipitation. NOAA Coastal Services Center High-Resolution Land Cover Project 1 Impervious Anthropogenic features such as buildings, parking lots and roads developed from asphalt, concrete or other constructed surfaces which do not allow infiltration from precipitation. NOAA Coastal Services Center High-Resolution Land Cover Project NOAA Coastal Services Center Clearinghouse Manager Clearinghouse Manager mailing and physical address

2234 South Hobson Avenue

Charleston SC 29405-2413 USA (843)740-1210 (843)740-1224 clearinghouse@noaa.gov Monday-Friday, 8-5 EST Downloadable Data Users must assume responsibility to determine the usability of these data. ERDAS Imagine image file (.img) ESRI Run-length Encoding 11.5 http://www.csc.noaa.gov/digitalcoast/data/coastal-change-analysis-program-high-resolution-land-cover/download CD-ROM ISO 9660 ISO 9660 format allows the CD-ROM to be read by most computer operating systems. none 20121220 20100216 NOAA Coastal Services Center Metadata Specialist Metadata Specialist mailing and physical address

2234 S Hobson Ave.

Charleston SC 29405 USA 843-740-1210 843-740-1224 csc@noaa.gov 8:00 am to 5:00 pm EST. FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 Local Time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile 20100216080800 None 20060904 20060904 http://www.coris.noaa.gov/metadata/records/html/ccap_2005_era_maui_impervious_surf.html 4471