48350
C-CAP Maui 2005 era High Resolution Land Cover Metadata
hi_maui_2005_ccap_hr_land_cover_20150213edit
Data Set
Published / External
47841
C-CAP
Project
Completed
2015-02-18
This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 43 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Maui.
To create a baseline inventory of land cover features which can be utilized by state and local resource managers.
11418
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
Theme
ISO 19115 Topic Category
imageryBaseMapsEarthCover
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > HAWAII
Spatial
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > MAUI
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
CAMERAS
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Platform
Global Change Master Directory (GCMD) Platform Keywords
WORLDVIEW-2 > DigitalGlobe WORLDVIEW-2
Platform
Global Change Master Directory (GCMD) Platform Keywords
WORLDVIEW-3 > DigitalGlobe WORLDVIEW-3
Theme
Land Cover
Theme
Land Cover Analysis
Theme
Remotely Sensed Imagery/Photos
Spatial
Coastal Zone
Spatial
Hawaii
Spatial
Kahului
Spatial
Maui
Office for Coastal Management
Charleston
SC
Data Set
5 years
Image (digital)
Users must assume responsibility to determine the usability of these data.
49305
Layer_1
Layer_1
Published / External
Completed
Island of Maui delineated by Quickbird Scene(s) collected on November 20, 2005 | Description Source: unknown
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
Value
VARCHAR
No
No
Active
0 or 1 indicates whether pixel is impervious or not. | Description Source: NOAA Office for Coastal Management High-Resolution Land Cover Project
1 Unclassified: This class contains no
data due to cloud conditions or data voids. | 2 Impervious Surfaces: Anthropogenic features such as buildings, parking lots and roads developed from asphalt, concrete or other constructed surfaces which do not allow infiltration from precipitation. | 5 Open Spaces Developed: Includes areas with a mixture of some constructed materials, but mostly
vegetation in the form of lawn grasses. Impervious surfaces account for
less than 20 percent of total cover. These areas most commonly include
large-lot single-family housing units, parks, golf courses, and vegetation
planted in developed settings for recreation, erosion control, or
aesthetic purposes. | 6 Cultivated Land: Includes herbaceous (cropland) and woody (e.g., orchards,
nurseries, and vineyards) cultivated lands. | 7 Pasture/Hay: characterized by grasses, legumes or grass-legumes mixtures
planted for livestock grazing or the production of sees or
hay crops. | 8 Grassland: Dominated by naturally occurring grasses and non-grasses
(forbs) that are not fertilized, cut, tilled, or planted
regularly. | 9 Deciduous Forest: Includes areas dominated by single stemmed, woody
vegetation un-branched 0.6 to 1 meter (2 to 3 feet) above
the ground and having a height greater than 5 meters (20
feet). | 10 Evergreen Forest: Includes areas in which more than 67 percent of the trees
remain green throughout the year. Both coniferous and
broad-leaved evergreens (greater than 5 meters) are
included in this category. | 11 Mixed Forest: Contains all forested areas in which both evergreen and
deciduous trees (greater than 5 meters) are growing and
neither predominate. | 12 Scrub/Shrub: Areas dominated by woody vegetation less than 5 meters in
height. This class includes true shrubs, young trees, and
trees or shrubs that are small or stunted because of
environmental conditions. | 13 Palustrine Forested Wetland: Includes all non-tidal wetlands dominated by woody
vegetation greater than or equal to 5 meters in height,
and all such wetlands that occur in tidal areas in which
salinity due to ocean-derived salts is below 0.5 parts per
thousand (ppt). | 14 Palustrine Scrub/Shrub Wetland: Includes all non-tidal wetlands dominated by woody
vegetation less than or equal to 5 meters in height, and
all such wetlands that occur in tidal areas in which
salinity due to ocean-derived salts is below 0.5 ppt. | 15 Palustrine Emergent Wetland: Includes all non-tidal wetlands dominated by trees, shrubs,
persistent emergents, emergent mosses, or lichens, and all
such wetlands that occur in tidal areas in which salinity
due to ocean- derived salts is below 0.5 ppt. | 16 Estuarine Forest Wetland: Includes all tidal wetlands dominated by woody vegetation
greater than or equal to 5 meters in height, and all such
wetlands that occur in tidal areas in which salinity due
to ocean-derived salts is above 0.5 parts per thousand
(ppt). | 17 Estuarine Scrub/Shrub Wetland: Includes all tidal wetlands dominated by woody vegetation
less than 5 meters in height, and all such
wetlands that occur in tidal areas in which salinity due
to ocean-derived salts is above 0.5 ppt. | 18 Estuarine Emergent: Characterized by erect, rooted, herbaceous hydrophytes
(excluding mosses and lichens) that are present for most
of the growing season in most years. Perennial plants
usually dominate these wetlands. All water regimes are
included except those that are sub-tidal and irregularly
exposed. | 19 Unconsolidated Shore: Characterized by substrates lacking vegetation except for
pioneering plants that become established during brief
periods when growing conditions are favorable. Erosion and
deposition by waves and currents produce a number of
landforms, such as beaches, bars, and flats, all of which
are included in this class. | 20 Bare Land: Composed of bare soil, rock, sand, silt, gravel, or other
earthen material with little or no vegetation. | 21 Water: Includes all areas of open water with less than 30 percent
c
Data Steward
2015-02-18
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2015-02-18
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2015-02-18
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2015-02-18
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Acquisition date of the Quickbird Scenes
-156.688
-155.9786
21.0331
20.5686
Discrete
2005-11-20
Yes
3
Point
No
Row
9851
Column
327630
Vertical
1
Unclassified
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.
https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires
Online Resource
2017-02-22
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
Microsoft Windows XP Version 5.1 (Build 2600.xpsp.080413-2111) Service Pack 3; ESRI ArcCatalog 9.2 (Build 1420)
No attribute accuracy has been determined for this dataset.
12 meters CE90
There was no terrain correction in the geo-referencing procedure.
Data does not exist for all classes.
There are no pixels representing class 22 (Palustrine Aquatic Bed), 24 (Tundra), 25 (Perennial Ice/Snow), 26 (Dwarf Scrub - Alaska specific class), 27 (Sedge/Herbaceous), and 28 (Moss - Alaska specific), 9 (Deciduous Forest), 11 (Mixed Forest). 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 (Class 2)).
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.
C-CAP Maui, Hawaii. Land Cover Project
Sanborn. www.sanborn.com.
2008-11-14
Discrete
2005-11-20
https://coast.noaa.gov/ccapatlas
NOAA OCM | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM
1
This dataset was created by Sanborn (www.sanborn.com).
This version of the classification is the High Resolution Land Cover (2005-era) for the Island of Maui, HI.
Summary:
This section outlines the classification procedure for the Maui High Resolution C-CAP. Quickbird imagery used in producing this land cover product was also utilized in producing an associated impervious surfaces layer for the island. The mapping approach utilized a boundary summary and refinement procedure developed by Sanborn to leverage previous C-CAP mapping efforts to create the high resolution land cover data set. A calibration visit was conducted and training data was collected for classification. Non impervious features were mapped using a 0.5 acre minimum mapping unit (MMU).
Pre-processing steps:
The Quickbird mosaic utilized for this project was provided from Digital Globe as an orthorectified, georeferenced product and was consistent with the quoted 1:12000 spatial accuracy. In conjunction with the Quickbird mosaic, Sanborn used an air photo mosaic from the USGS for the island collected in 2004 as well as a DTM created from a 5m radar collect for the island. The original return image from the radar was also utilized.
Field-Collected Data:
Training data was collected in the field between March 30th and April 11th, 2008. Land cover observations were recorded by analysts. The referenced dataset went through a QA/QC procedure to ensure it met accuracy standards.
Classification:
Initial Segmentation - Image segmentation was completed at multiple scales using the multispectral (2.4 m) imagery in order to group like spectral and textural objects within the imagery. The initial segments were created at a larger scale (scale refers to the target size and shape of like features generalized by Definiens software) of 100. Larger segments are required to leverage the 30 m data sets and incorporate the IFSAR data that is collected at spatial resolution of 5 m. For consistency, the associated impervious data set was incorporated into the segmentation layer as a boundary delimiter. Segments can share boundaries of an impervious surface, but can never overlap an impervious surface.
Rule set Creation - The initial map of the island of Maui is created by incorporating an existing C-CAP 2001 land cover data set through a logical rule set created by a Sanborn analyst. The rules are created such that image segments are labeled to the C-CAP classification scheme based on their underlying medium resolution components.
2008-11-14T00:00:00
2
Initial Label and Edits - The automated labeling procedure created a reasonable representation of land cover using the labeling routine, however errors did occur. Gross inaccuracies in the data product that would inhibit the further classification of the segments at a smaller scale factor were corrected through knowledge based models or manual edits.
Secondary Segmentation - Further refinement of the map is only possible though classification of the image segments directly. Classification of the image segments is a hierarchical process, whereby larger scale segments are composed of smaller scale segments. The initial segmentation was used to further aid in the automated classification of the secondary (more detailed) image segments. The final scale factor for the mosaic was 35.
Automated Classification - Automated classification of the image segments is accomplished through a process modeling incorporated within Definiens software. Models are built to refine or reclassify land cover areas by utilizing the wealth of attribute information linked to each segment within Definiens. In a small amount of cases, the nearest neighbor classification routine was used to refine segments. Nearest neighbor training data is collected through analyst interpretation or ancillary data sets and used to calibrate the classification algorithm.
Automated Classification Edits - As with any automated or semi-automated land cover classification there are often inconsistencies in the land cover map. The final step before map finalization was to remove inaccuracies through manual segment labeling as interpreted by an analyst.
Map Finalization - Sanborn used independent reviewer's comments to further refine the land cover map. The change detection process used to create the 2010 Maui C-CAP product highlighted some errors in the 2005 land cover map. To create a more accurate product these issues we addressed by NOAA through a combination of spatial models and manual edits. While the changes may not be large in area and/or be directly reflected in the accuracy assessment, we feel the products more accurately reflect the land cover for the time period.
Attributes for this 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
2008-11-14T00:00:00
3
Metadata imported
2008-11-19T00:00:00
49305
Entity
Layer_1
gov.noaa.nmfs.inport:48350
Anne Ball
2017-11-14T14:39:04
SysAdmin InPortAdmin
2023-07-03T17:07:51
2018-03-13
Office for Coastal Management
OCM
1002
Public
No
2018-03-13
1 Year
2019-03-13