WA_1996.img
Metadata:
- Identification_Information:
-
- Citation:
-
- Citation_Information:
-
- Originator:
- Department of Commerce (DOC), National Oceanic and
Atmospheric Administration (NOAA), National Ocean Service (NOS),
Coastal Services Center (CSC)
- Publication_Date: 20041001
- Title: WA_1996.img
- Geospatial_Data_Presentation_Form: remote-sensing
image
- Publication_Information:
-
- Publication_Place: Charleston, SC
- Publisher: NOAA's Ocean Service, Coastal
Services Center (CSC)
- Other_Citation_Details:
- This Classification and change detection are based on
Landsat TM scenes p45r26 (07/13/1996), (03/21/2001),
(07/16/2000), (10/18/1999) p45r27 (07/13/1996), (03/26/2000),
(07/22/2002), (10/04/2000) p45r28 (07/13/1996), (03/21/2001),
(07/16/2000), (08/17/2000) p46r26 (08/21/1996), (05/07/2001),
(08/11/2001), (09/12/2001) p46r27 (08/21/1996), (05/31/2001),
(07/07/2000), (09/25/2000) p46r28 (08/21/1996), (04/10/2000),
(07/07/2000), (09/25/2000) p47r26 (08/12/1996), (02/13/2000),
(07/30/2000), (10/05/2001) p47r27 (08/12/1996), (02/26/2002),
(07/30/2000), (11/01/1999) p47r28 (07/11/1996), (02/26/2002),
(07/01/2001), (10/16/1999) p48r26 (09/18/1995), (04/03/2001),
(07/21/2000), (09/23/2000) p48r27 (09/18/1995), (01/31/1993),
(04/03/2001), (07/03/2000), (09/23/2000)
- Online_Linkage:
\\ecyfllcyadp01\data83\images\land_cover\LandCover\WA_1996.img
- Description:
-
- Abstract:
- This data set is the 1996 era classification of Coastal
Washington. This data set utilized 45 full or partial Landsat 5 and
7 Thematic Mapper scenes 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.
- Time_Period_of_Content:
-
- Time_Period_Information:
-
- Single_Date/Time:
-
- Calendar_Date:
- REQUIRED: The year (and optionally month, or month and
day) for which the data set corresponds to the ground.
- Range_of_Dates/Times:
-
- Beginning_Date: 19930131
- Ending_Date: 20020722
- Currentness_Reference: Date of the Landsat scenes
- Status:
-
- Progress: Complete
- Maintenance_and_Update_Frequency: 5 years
- Spatial_Domain:
-
- Bounding_Coordinates:
-
- West_Bounding_Coordinate: -125.350460
- East_Bounding_Coordinate: -118.505581
- North_Bounding_Coordinate: 49.637952
- South_Bounding_Coordinate: 45.100670
- Keywords:
-
- Theme:
-
- Theme_Keyword_Thesaurus: ISO 19115 Topic Category
- Theme_Keyword: imageryBaseMapsEarthCover
- Theme:
-
- Theme_Keyword_Thesaurus: None
- Theme_Keyword: Remotely Sensed Imagery/Photos
- Theme_Keyword: Land Cover Analysis
- Theme_Keyword: Change Detection Analysis
- Place:
-
- Place_Keyword_Thesaurus: None
- Place_Keyword: US West Coast
- Place_Keyword: Coastal Zone
- Place_Keyword: Washington
- Access_Constraints: None, except for a possible fee.
- 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.
- Native_Data_Set_Environment:
- Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI
ArcCatalog 9.3.1.1850
- Data_Quality_Information:
-
- Attribute_Accuracy:
-
- Attribute_Accuracy_Report:
- While the accuracy of a 1996-era classification is hard to
determine based on 2000-era ground truth, the 1996-era
classification is composed of approximately 95.5% of the final
2000-era classification. This is because only the areas of change
between 1996 and 2000 were classified for the classification. Then
the classified layer was overlaid onto the classification. Therefore
the accuracy assessment for the classification is still a good
estimate of the accuracy of the classification.
According to accuracy assessment performed by Space Imaging, the
overall accuracy is 86.1% and 85.0% Kappa. The accuracy results
shown below are from a combined accuracy completed on both Oregon
and Washington C-CAP areas. A total of 1043 points are located in
Washington and 1165 points are located in Oregon.
Each class accuracy is as follows: (Errors of Omission/Commission) 0
Background (N/A) 1 Unclassified (Cloud, Shadow, etc)(N/A) 2 High
Intensity Developed (50%/73%) 3 Medium Intensity Developed (79%/52%)
4 Low Intensity Developed (25%/41%) 5 Open Spaces Developed
(50%/100%) 6 Cultivated Land (86%/72%) 7 Pasture/Hay (77%/73%) 8
Grassland (61%/76%) 9 Deciduous Forest (95%/88%) 10 Evergreen Forest
(99%/85%) 11 Mixed Forest (80%/93%) 12 Scrub/Shrub (75%/84%) 13
Palustrine Forested Wetland (75%/75%) 14 Palustrine Scrub/Shrub
Wetland (68%/84%) 15 Palustrine Emergent Wetland (91%/72%) 16
Estuarine Forested Wetland (N/A) 17 Estuarine Scrub/Shrub Wetland
(N/A) 18 Estuarine Emergent Wetland (93%/100%) 19 Unconsolidated
Shore (90%/95%) 20 Bare Land (79%/96%) 21 Water (100%/100%) 22
Palustrine Aquatic Bed (100%/100%) 23 Estuarine Aquatic Bed
(100%/100%) 24 Tundra (N/A) 25 Snow/Ice (N/A)
The validation points were both collected in the field and photo
interpreted. The accuracy assessment selection methods were
developed to minimize spatial autocorrelation between the training
and accuracy assessment. The first pool of accuracy assessment sites
came from field data and photo interpretation of black and white
digital orthophotos and digital color infrared imagery (primarily
Emerge and Ikonos data). These sites were collected prior to initial
mapping and were collected at the same time as the training data.
The sites were selected to capture the physical and spectral
diversity of the land cover. After these sites were identified, they
were separated into training and accuracy assessment sites by
imposing a 1 km x 1 km grid over the study area. Accuracy assessment
sites could only be selected from alternate 1 km squares. Only 1
sample per class was allowed from each potential square. After the
first criteria was met, the accuracy assessment sites were buffered
to see if they fell within 1000 meters of another accuracy
assessment site of the same class or within 1000 meters of a
training site of the same class. Those that fell within the 1000
meter buffer were eliminated. All sites were to be from a
homogeneous 3x3 area. After an analysis of the point distribution,
it became clear that there were not enough samples for every class.
The remaining points were selected from the initial draft final
classification and had to be a homogeneous 3x3 area. A stratified
random sample was used to locate sites. These sites were restricted
to the same alternate 1 km x 1 km grid that was used to separate
training from AA sites in the initial analysis. Sampling was limited
to areas where there was high resolution color infrared imagery. The
imagery included the previous Ikonos and Emerge imagery, but also
included an additional 60 scenes of Ikonos imagery. The additional
Ikonos imagery provided sampling areas across the entire study area.
When possible, we tried to identify 50 samples of the uncommon
classes and 20 sites of the common classes. Samples were selected
for the common classes so that there were samples for classes using
this methodology.
In total, an additional 637 additional points to the accuracy
assessment analysis for a total of 2208. All classes have a minimum
of 50 accuracy assessment points except for estuarine aquatic bed
and estuarine emergent. These classes have 24 and 29 sites
respectively. These classes are limited in the study area and to
some extent in the imagery that was available to sample from.
Also as part of the assessment, NOAA staff field tested the
classification to determine a subjective goodness of fit.
Post-Processing Steps: None
Known Problems: None
Spatial Filters: None
- Logical_Consistency_Report:
- 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.
- Completeness_Report:
- Data does not exist for all classes. There are no pixels
representing class 13 (Estuarine Forested Wetland), class 14 (Estuarine
Scrub/Shrub Wetland), or class 21 (Tundra). There are pixels for class
19 (Palustrine Aquatic Vegetation) but there were too few areas to
collect accuracy assessment points. All pixels have been classified. The
NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional
Implementation, NOAA National Marine Fisheries Service Report 123,
discusses the interagency effort to develop the land cover
classification scheme and defines all categories.
- Positional_Accuracy:
-
- Horizontal_Positional_Accuracy:
-
- Horizontal_Positional_Accuracy_Report:
- Landsat scenes were geo-referenced by Eros Data Center.
Spatial accuracy assessed by Space Imaging is found to be to 2
pixels accuracy or less.
- Vertical_Positional_Accuracy:
-
- Vertical_Positional_Accuracy_Report:
- There was no terrain correction in the geo-referencing
procedure.
- Lineage:
-
- Source_Information:
-
- Source_Citation:
-
- Citation_Information:
-
- Originator: Space Imaging
- Publication_Date: 20041001
- Title: C-CAP Classification for Washington
Coastal Zone,
- Geospatial_Data_Presentation_Form:
remote-sensing image
- Publication_Information:
-
- Publication_Place: Charleston SC
- Publisher: NOAA Coastal Services Center
- Online_Linkage:
<http://www.csc.noaa.gov/>
- Type_of_Source_Media: CD-ROM
- Source_Time_Period_of_Content:
-
- Time_Period_Information:
-
- Range_of_Dates/Times:
-
- Beginning_Date: 19950918
- Ending_Date: 20020226
- Source_Currentness_Reference: 20020226
- Source_Citation_Abbreviation: NOAA CSC
- Source_Contribution: NOAA CSC
- Process_Step:
-
- Process_Description:
- This dataset was created by Space Imaging. This version of
the classification is the (1996-era). The study area is the
Coastal Washington Region. A (2000-era) classification is also
available for the same area. This section outlines the
classification procedure for the Washington C-CAP.
Pre-processing steps: Each Landsat TM scene was geo-referenced
by USGS (United States Geological Survey) EROS Data Center. The
Space Imaging staff reviewed the spectral and spatial quality of
the imagery. Areas that were greater than 1-2 pixels off were
sent back to USGS for reprocessing. The data was geo-referenced
to Albers Conical Equal Area, with a spheroid of GRS 1980, and
Datum of WGS84. The data units is in meters. Single scene,
early- and imagery was received by Space Imaging from USGS-EDC
(EROS Data Center) for use in this classification procedure.
imagery was registered to the imagery to ensure that they
spatially aligned. The leaf-on TM image mosaic was broken into
eight pieces based on image date. scenes were mosaiced to match
the geographic extent of each piece of the imagery. When more
than one scene was needed to match the piece, the scenes were
histogram matched. The analysis by image date was used to
minimize the amount of false change included in the change mask.
Change Detection: Once the and images were aligned, the next
step was to determine the areas of change between the 1996 and
2000-era data. Since the 2000-era classification was already
complete, it is only necessary to classify the areas of change
to create a 1996-era classification of the same specifications.
Change detection was performed on each of the eight image
pieces. A difference image was created using the six spectral
bands of the leaf-on imagery and the six spectral bands of the
imagery (also leaf-on). This difference image was clustered into
150 classes. Classes of change were recoded into one change
class. In addition, change detections using the same method,
were performed between the leaf-on image and the spring image,
and the leaf-on image and the leaf-off image. These areas of
change were added to the change mask to account for differences
between the images. Once the change was combined into one file,
small patches of change (4 and less pixels) were eliminated to
remove noise. Then a 3x3 focal majority filter was applied to
fill in some patches. The change layer over-estimated change to
ensure that all changed areas were captured in the mask.
Classification: The classification of the , 1996-era data was a
mixture of automated and manual approaches. The change mask was
used to identify areas in the classification that had not
changed since 1996. These were considered areas that could be
used to collect training points. A stratified random sample of
points were selected from the non-change areas of the
classification. Over 5000 training points were selected from the
non-change areas. Points were reviewed to ensure that they were
labeled correctly. The training points were supplemented with
additional points in the areas that did change and for classes
that did not have enough samples. An classification was created
using this training data set in the CART discrete decision-tree
software. The model was applied to a mosaic of the image pieces.
The change mask was used to mask the classification. This area
of change from the was compared to the same area of the
classification. Illogical changes were reviewed and modeled out
or to other classes when appropriate. The area of change was
then reviewed against both the 1996 and 2000 era TM data to
identify omitted and committed change as well as change that had
gotten the wrong class call. When the manual edits were
complete, the final classification was generated by using the
1996 classification in areas that had changed and the 2000
classification in areas that had not changed.
Attributes for this product are as follows: 0 Background 1
Unclassified (Cloud, Shadow, etc) 2 High Intensity Developed 3
Medium Intensity Developed 4 Low Intensity Developed 5 Open
Space Developed 6 Cultivated Land 7 Pasture/Hay 8 Grassland 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 Water
22 Palustrine Aquatic Bed 23 Estuarine Aquatic Bed 24 Tundra 25
Snow/Ice
Post-Processing Steps: Both Washington and Oregon zones were
classified concurrently but independently. When they were
completed, they were edgematched to each other.
- Process_Date: 20021001 - 20041001
- Process_Contact:
-
- Contact_Information:
-
- Contact_Person_Primary:
-
- Contact_Person: CRS (Coastal Remote
Sensing) Program Manager
- Contact_Organization:
- NOAA Coastal Services Center Coastal Change
Analysis Program (C-CAP)
- Contact_Position: CRS Program Manager
- Contact_Address:
-
- Address_Type: mailing and physical
address
- Address: 2234 S. Hobson Ave.
- City: Charleston
- State_or_Province: SC
- Postal_Code: 29405
- Country: USA
- Contact_Voice_Telephone: 843-740-1210
- Contact_Facsimile_Telephone: 843-740-1224
- Contact_Electronic_Mail_Address:
clearinghouse@csc.noaa.gov
- Hours_of_Service: 8:00 am to 5:00 p.m. EST.
M-F
- Process_Step:
-
- Process_Description: Classification
- Process_Date: Unknown
- Process_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization:
- NOAA Coastal Services Center Coastal Change
Analysis Program (C-CAP)
- Contact_Position: CRS Program Manager
- Contact_Address:
-
- Address_Type: mailing and physical
address
- Address: 2234 S. Hobson Ave.
- City: Charleston
- State_or_Province: SC
- Postal_Code: 29405
- Country: USA
- Contact_Voice_Telephone: 843-740-1210
- Contact_Facsimile_Telephone: 843-740-1224
- Contact_Electronic_Mail_Address:
csc@csc.noaa.gov
- Hours_of_Service: Monday to Friday, 8 a.m.
to 5 p.m., Eastern Standard Time
- Process_Step:
-
- Process_Description: Metadata imported.
- Source_Used_Citation_Abbreviation:
C:\Temp\xml34.tmp
- Process_Date: 20090820
- Process_Time: 10393700
- Spatial_Data_Organization_Information:
-
- Direct_Spatial_Reference_Method: Raster
- Raster_Object_Information:
-
- Raster_Object_Type: Pixel
- Row_Count: 16488
- Column_Count: 16519
- Vertical_Count: 1
- Spatial_Reference_Information:
-
- Horizontal_Coordinate_System_Definition:
-
- Planar:
-
- Map_Projection:
-
- Map_Projection_Name: Lambert Conformal Conic
- Lambert_Conformal_Conic:
-
- Standard_Parallel: 45.833333
- Standard_Parallel: 47.333333
- Longitude_of_Central_Meridian: -120.500000
- Latitude_of_Projection_Origin: 45.333333
- False_Easting: 1640416.666667
- False_Northing: 0.000000
- Planar_Coordinate_Information:
-
- Planar_Coordinate_Encoding_Method: row and
column
- Coordinate_Representation:
-
- Abscissa_Resolution: 98.425000
- Ordinate_Resolution: 98.425000
- Planar_Distance_Units: survey feet
- Geodetic_Model:
-
- Horizontal_Datum_Name: D_North_American_1983_HARN
- Ellipsoid_Name: Geodetic Reference System 80
- Semi-major_Axis: 6378137.000000
- Denominator_of_Flattening_Ratio: 298.257222
- Entity_and_Attribute_Information:
-
- Detailed_Description:
-
- Entity_Type:
-
- Entity_Type_Label: WA_1996.img.vat
- Entity_Type_Definition:
- US West Coast coastal zone as delineated by NOAA using scene
boundaries, hydrological units, and county boundaries
- Entity_Type_Definition_Source: unknown
- Attribute:
-
- Attribute_Label: OID
- Attribute_Definition: Internal feature number.
- Attribute_Definition_Source: ESRI
- Attribute_Domain_Values:
-
- Unrepresentable_Domain:
- Sequential unique whole numbers that are automatically
generated.
- Attribute:
-
- Attribute_Label: Value
- Attribute:
-
- Attribute_Label: Count
- Attribute:
-
- Attribute_Label: Red
- Attribute:
-
- Attribute_Label: Green
- Attribute:
-
- Attribute_Label: Blue
- Attribute:
-
- Attribute_Label: Class_name
- Attribute:
-
- Attribute_Label: Opacity
- Distribution_Information:
-
- Distributor:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: NOAA Coastal Services
Center
- Contact_Person: Clearinghouse Manager
- Contact_Position: Clearinghouse Manager
- Contact_Address:
-
- Address_Type: mailing and physical address
- Address: 2234 South Hobson Avenue
- City: Charleston
- State_or_Province: SC
- Postal_Code: 29405-2413
- Country: USA
- Contact_Voice_Telephone: (843)740-1210
- Contact_Facsimile_Telephone: (843)740-1224
- Contact_Electronic_Mail_Address:
clearinghouse@csc.noaa.gov
- Hours_of_Service: Monday-Friday, 8-5 EST
- Resource_Description: Downloadable Data
- Distribution_Liability:
- Users must assume responsibility to determine the usability of these
data.
- Standard_Order_Process:
-
- Digital_Form:
-
- Digital_Transfer_Information:
-
- Format_Name: ERDAS Imagine image file (.img)
- Transfer_Size: 0.000
- Digital_Transfer_Option:
-
- Offline_Option:
-
- Offline_Media: CD-ROM
- Recording_Format: ISO 9660
- Compatibility_Information:
- ISO 9660 format allows the CD-ROM to be read by most
computer operating systems.
- Fees: none
- Metadata_Reference_Information:
-
- Metadata_Date: 20091006
- Metadata_Review_Date: 20090701
- Metadata_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: NOAA Coastal Services
Center
- Contact_Person: Metadata Specialist
- Contact_Position: Metadata Specialist
- Contact_Address:
-
- Address_Type: mailing and physical address
- Address: 2234 S Hobson Ave.
- City: Charleston
- State_or_Province: SC
- Postal_Code: 29405
- Country: USA
- Contact_Voice_Telephone: 843-740-1210
- Contact_Facsimile_Telephone: 843-740-1224
- Contact_Electronic_Mail_Address: csc@csc.noaa.gov
- Hours_of_Service: 8:00 am to 5:00 pm EST.
- Metadata_Standard_Name: FGDC Content Standards for Digital
Geospatial Metadata
- Metadata_Standard_Version: FGDC-STD-001-1998
- Metadata_Time_Convention: local time
- Metadata_Extensions:
-
- Online_Linkage:
<http://www.esri.com/metadata/esriprof80.html>
- Profile_Name: ESRI Metadata Profile
Generated by
mp
version 2.9.6 on Tue Oct 06 12:16:59 2009
