2005 era Maui Impervious Surfaces

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Frequently anticipated questions:


What does this data set describe?

Title: 2005 era Maui Impervious Surfaces
Abstract:
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.
  1. How should this data set be cited?

    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC), 20071116, 2005 era Maui Impervious Surfaces: NOAA's Ocean Service, Coastal Services Center (CSC), Charleston, SC.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -156.704065
    East_Bounding_Coordinate: -155.947783
    North_Bounding_Coordinate: 21.033721
    South_Bounding_Coordinate: 20.567587

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Calendar_Date: 04-Sep-2006
    Currentness_Reference: Acquisition date of the Quickbird Scenes

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: remote-sensing image

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Raster data set. It contains the following raster data types:

      • Dimensions 20980 x 32481 x 1, type Pixel

    2. What coordinate system is used to represent geographic features?

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 4
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -159.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using Row and Column
      Abscissae (x-coordinates) are specified to the nearest 2.400000
      Ordinates (y-coordinates) are specified to the nearest 2.400000
      Planar coordinates are specified in meters

      The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.

  7. How does the data set describe geographic features?

    Layer_1
    Island of Maui delineated by Quickbird Scene(s) collected on September 04, 2006 (Source: unknown)

    Value
    0 or 1 indicates whether pixel is impervious or not. (Source: NOAA Coastal Services Center High-Resolution Land Cover Project)

    ValueDefinition
    0 PerviousFeatures which allow infiltration from precipitation.
    1 ImperviousAnthropogenic features such as buildings, parking lots and roads developed from asphalt, concrete or other constructed surfaces which do not allow infiltration from precipitation.


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

  3. To whom should users address questions about the data?


Why was the data set created?

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.


How was the data set created?

  1. From what previous works were the data drawn?

    NOAA CSC (source 1 of 1)
    www.mdafederal.com, MDA Federal , 20071116, C-CAP Maui, Hawaii. Land Cover Project: NOAA's Ocean Service, Coastal Services Center (CSC), Charleston SC.

    Online Links:

    Type_of_Source_Media: DVD/CD-ROM
    Source_Contribution: NOAA CSC

  2. How were the data generated, processed, and modified?

    Date: 16-Nov-2007 (process 1 of 3)
    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

    Person who carried out this activity:

    CRS (Coastal Remote Sensing) Program Manager
    NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)
    CRS Program Manager
    2234 S. Hobson Ave.
    Charleston, SC 29405
    USA

    843-740-1210 (voice)
    843-740-1224 (FAX)
    clearinghouse@noaa.gov

    Hours_of_Service: 8:00 am to 5:00 p.m. EST. M-F
    Date: 16-Nov-2007 (process 2 of 3)
    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.

    Person who carried out this activity:

    NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)
    CRS Program Manager
    2234 S. Hobson Ave.
    Charleston, SC 29405
    USA

    843-740-1210 (voice)
    843-740-1224 (FAX)
    csc@noaa.gov

    Hours_of_Service: Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time
    Date: 16-Nov-2007 (process 3 of 3)
    Metadata imported

    Person who carried out this activity:

    NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)
    CRS Program Manager
    2234 S. Hobson Ave.
    Charleston, SC 29405

    843-740-1210 (voice)
    843-740-1224 (FAX)
    csc@noaa.gov

    Hours_of_Service: Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time
  3. What similar or related data should the user be aware of?


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    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

  2. How accurate are the geographic locations?

    12 meters CE90

  3. How accurate are the heights or depths?

    There was no terrain correction in the geo-referencing procedure.

  4. Where are the gaps in the data? What is missing?

    Data set is complete.

  5. How consistent are the relationships among the observations, including topology?

    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.


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints:
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.

  1. Who distributes the data set? (Distributor 1 of 1)

    NOAA Coastal Services Center
    Attn: Clearinghouse Manager
    Clearinghouse Manager
    2234 South Hobson Avenue
    Charleston, SC 29405-2413
    USA

    (843)740-1210 (voice)
    (843)740-1224 (FAX)
    clearinghouse@noaa.gov

    Hours_of_Service: Monday-Friday, 8-5 EST
  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

    Users must assume responsibility to determine the usability of these data.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 12-Jun-2013
Metadata author:
NOAA Coastal Services Center
Attn: Metadata Specialist
Metadata Specialist
2234 S Hobson Ave.
Charleston, SC 29405
USA

843-740-1210 (voice)
843-740-1224 (FAX)
csc@noaa.gov

Hours_of_Service: 8:00 am to 5:00 pm EST.
Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)


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