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Short Citation:
Office for Coastal Management, 2022: C-CAP Molokai, Hawaii 2005-2009 Land Cover Change Analysis, https://www.fisheries.noaa.gov/inport/item/48352.

Item Identification

Title: C-CAP Molokai, Hawaii 2005-2009 Land Cover Change Analysis
Short Name: hi_molokai_2005_2010_hr_lc_20150102
Status: Completed
Publication Date: 2015-01-05
Abstract:

This data set contains the 2005 and 2009 classifications of Molokai and can be used to analyze change. This data set utilized utilized 20 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Molokai C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Purpose:

To improve the understanding of coastal uplands and

wetlands, and their linkages with the distribution,

abundance, and health of living marine resources.

Notes:

11420

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Global Change Master Directory (GCMD) Platform Keywords Aircraft > AIRCRAFT
Global Change Master Directory (GCMD) Platform Keywords Earth Observation Satellites > WORLDVIEW-2
Global Change Master Directory (GCMD) Platform Keywords Earth Observation Satellites > WORLDVIEW-3
ISO 19115 Topic Category imageryBaseMapsEarthCover
None Change Detection Analysis
None Land Cover Analysis
None Remotely Sensed Imagery/Photos

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > HAWAII
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > MOLOKAI
UNCONTROLLED
None Coastal Zone
None Molokai

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Note:

5 years

Data Presentation Form: Map (digital)
Distribution Liability:

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

Support Roles

Data Steward

CC ID: 631314
Date Effective From: 2015-01-05
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 631316
Date Effective From: 2015-01-05
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 631317
Date Effective From: 2015-01-05
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 631315
Date Effective From: 2015-01-05
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Acquisition dates of the source Quickbird and WorldView2 Scenes

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 631320
W° Bound: -157.193132
E° Bound: -156.4124
N° Bound: 21.144788
S° Bound: 21.013228

Extent Group 1 / Time Frame 1

CC ID: 631319
Time Frame Type: Range
Start: 2005-11-20
End: 2009-12-28

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 631307
Dimension Count: 3
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 9851

Axis Dimension 2

Dimension Type: Column
Size: 27629

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data 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.

URLs

URL 1

CC ID: 746474
URL: https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 631336
Activity Date/Time: 2017-02-22
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 631335
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC (Federal Geographic Data Committee) CSDGM (Content Standard for Digital Geospatial Metadata) (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 717873
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 746473
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.1 SP 1

Data Quality

Accuracy:

Attribute_Accuracy_Report

Horizontal Positional Accuracy:

12 meters CE90

Vertical Positional Accuracy:

There was no terrain correction in the geo-referencing

procedure.

Completeness Report:

Data does not exist for all classes.

Many classes of from-to change never occurred in Molokai.

Conceptual Consistency:

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.

Lineage

Sources

C-CAP Molokai, Hawaii 2005-2009 Land Cover Change Analysis

CC ID: 631301
Contact Name: Photo Science. www.photoscience.com
Publish Date: 2013-07-24
Extent Type: Range
Extent Start Date/Time: 2005-11-20
Extent End Date/Time: 2009-12-28
Citation URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4796
Source Contribution:

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

Process Steps

Process Step 1

CC ID: 631302
Description:

Process_Description

This dataset, and the 2009-era classification was created by Photo Science. The 2005-era C-CAP classification was created by Sanborn.

This dataset contains the classifications of 2005 imagery and 2009 imagery. It is used for change analysis between these years. The

attributes include a from-to change description category. There are

522 classes corresponding to the 522 possible from-to change combinations.

In this section of the metadata, the 2005 classification

procedure is described, then the 2009 change detection classification procedure is

described. Finally in the post-processing section, the process of combining

the maps to generate a spatial matrix of change is discussed.

Early Date (2005) Classification: This section outlines the classification procedure for the Molokai 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 moderate resolution 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.

Process Date/Time: 2013-05-01 00:00:00

Process Step 2

CC ID: 631303
Description:

Rule set Creation - The initial map of the island of Molokai 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.

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.

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

22 Palustrine Aquatic Bed

23 Estuarine Aquatic Bed

24 Tundra

25 Snow/Ice

Late Date (2009) Classification:

This section outlines the classification procedure for the Molokai High Resolution C-CAP. WorldView2 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, outlier change detection process and refinement procedure developed by Photo Science to leverage the 2005 high resolution C-CAP data set to create the 2009 high resolution C-CAP. A calibration visit was not conducted though NOAA had access to local resources for validation. Non impervious features were mapped using a 0.25 acre minimum mapping unit (MMU) and impervious features were mapped using a 0.1 acre MMU.

Process Date/Time: 2013-05-01 00:00:00

Process Step 3

CC ID: 631304
Description:

Pre-processing steps:

The WorldView2 mosaic utilized for this project was provided from Digital Globe as an orthorectified, georeferenced product. Multiple image primitives and indicies such as texture and NDVI were derived from the 8-band satellite data. The imagery was re-sampled from it's native 2m spatial resolution to 2.4m. The 2005 C-CAP classification and the base Quickbird imagery (used in the original mapping) were geometrically corrected to co-register to the WorldView2 data which has a higher geolocation accuracy.

Impervious Update:

The 2005 impervious was over-laid with semi-transparency on the 2009 satellite data. It was panned at a scale of 1:3,500 and manually updated to match the 2009 data. Analysts zoomed in to a larger scale when necessary to perform edits. The product went through a QC procedure to ensure features were accurately captured.

Segmentation and Outlier Detection Process:

The 2009 impervious was combined with the 2005 land cover to create a hybrid data set. Image segmentation, done in Trimble's eCognition software, was completed at multiple scales using the multispectral (2.4 m) imagery in order to group like spectral and textural objects within the imagery. For consistency, the associated hybrid data set was incorporated into the segmentation layer as a boundary delimiter. Segments contained image attributes and a label from the 2005 classification. These data were inputs to a custom multi-variate outlier detection tool that identified objects of potential change. These areas created the change mask.

Training Site Data:

Training data was photo interpreted and collected within the change mask and was super-sampled from features outside of the mask. The referenced data set went through a QA/QC procedure to ensure it met accuracy standards.

Classification:

Automated Classification - Image segments were classified using a decision tree classifier in Rulequest's See5 software based on the training data and image attributes.

Automated Classification Refinement - Models are built to refine or reclassify land cover areas by utilizing the wealth of attribute information linked to each segment within eCognition.

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 - Photo Science used independent reviewer's comments to further refine the land cover map.

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

22 Palustrine Aquatic Bed

Post-Processing Steps:

A GIS matrix algorithm was run with 2005 and 2009 datasets as inputs. The algorithm generates

a from-to file where each combination is uniquely labeled from 1 to 625.

Process Date/Time: 2013-05-01 00:00:00

Process Step 4

CC ID: 631305
Description:

Metadata imported

Process Date/Time: 2013-07-24 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity Layer_1

Catalog Details

Catalog Item ID: 48352
GUID: gov.noaa.nmfs.inport:48352
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-14 14:39+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2021-11-30 16:28+0000
Metadata Record Published: 2018-03-13
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year