Hawaiian Islands NLCD2011 USFS Percent Tree Canopy (Cartographic Version)

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Publication_Date: 20160131
Title:
Hawaiian Islands NLCD2011 USFS Percent Tree Canopy (Cartographic Version)
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: none
Issue_Identification: none
Publication_Information:
Publication_Place: USGS/EROS, Sioux Falls, SD, 57198-0001, US, 47914 252nd Street
Publisher: U.S. Geological Survey
Other_Citation_Details:

References:

Baig, M.H.A., L. Zhang, T. Shuai, and Q. Tong, 2014. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance, Remote Sensing Letters, 5(5):423-431.

Brand, G.J., M.D. Nelson, D.G. Wendt, and K.K. Nimerfro, 2000. The hexagon/panel system for selecting FIA plots under an annual inventory. In: McRoberts, R. E., G.A. Reams, and P.C. Van Deusen, eds. Proceedings of the First Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-213. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 8-13.

Breiman, L. 2001. Random forests. Machine Learning 45:15-32.

Coulston, J.W., D.M. Jacobs, C.R. King, and I.C. Elmore, 2013. The influence of multi-season imagery on models of canopy cover: a case study. Photogrammetric Engineering & Remote Sensing 79(5):469-477.

Coulston, J.W., G.G. Moisen, B.T. Wilson, M.V. Finco, W.B. Cohen, C.K. Brewer, 2012. Modeling percent tree canopy cover: a pilot study. Photogrammetric Engineering & Remote Sensing 78(7):715-727.

Cutler, R.D., T.C. Edwards, K.H. Beard, A. Cutler, K.T. Hess, J. Gibson, and J.J. Lawler, 2007. Random forest for classification in ecology. Ecology 88 (11):2783-2792.

Huang, C., L. Yang, B. Wylie, and C. Homer, 2001. A strategy for estimating tree canopy density using Landsat 7 ETM+ and high resolution images over large areas. In: Third International Conference on Geospatial Information in Agriculture and Forestry; November 5-7, 2001; Denver, Colorado. CD-ROM, 1 disk.

Liaw, A. and M. Wiener, 2002. Classification and regression by randomForest. R News. 2(3): 18-22.

McRoberts, R.E., M.H. Hansen, 1999. Annual forest inventories for the north central region of the United States. Journal of Agricultural, Biological, and Environmental Statistics. 4(4): 361-371.

Moisen, G.G., J.W. Coulston, B.T. Wilson, W.B. Cohen, and M.V. Finco, 2012. Choosing appropriate subpopulations for modeling tree canopy cover nationwide. In: McWilliams, Will; Roesch, Francis A., eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station: 195-200.

Nowacki, G, P. Spencer, M. Fleming, T. Brock, and T. Jorgenson, 2001. Ecoregions of Alaska: 2001. U.S. Geological Survey. Open-File Report 02-297 (map).

R Core Team, 2013. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org. (Accessed: 24 Feb 2015.)

Ruefenacht, B., 2016. Using Landsat-5 TM composites to model percent tree canopy cover. Photogrammetric Engineering & Remote Sensing (In Press).

Tipton, J., G.Moisen, P. Patterson, T.A. Jackson, and J. Coulston, 2012. Sampling intensity and normalizations: Exploring cost-driving factors in nationwide mapping of tree canopy cover. In: McWilliams, Will; Roesch, Francis A., eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station: 201-208.

Zhu, Z. and C.E. Woodcock, 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment. 118(2012): 83-94.

Description:
Abstract:
The National Land Cover Database 2011 (NLCD2011) percent tree canopy cover layer (TCC 2011) was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate a current, consistent, and seamless national land cover, percent tree canopy cover (PTCC), and percent impervious cover at medium spatial resolution. Hawaiian Islands TCC 2011 was produced by the USDA Forest Service Remote Sensing Applications Center (RSAC). For the PTCC layer, the pixel values range from 0 to 100 percent; 255 represents the background value. The PTCC layer was produced using random forest. PTCC values that were less than a calculated uncertainty were set to zero. The PTCC has data gaps due to persistent clouds/shadows in the Landsat images used for modeling. These data gaps are represented by the number 127.
Purpose:
The goal of this project is to provide the Nation with complete, current and consistent public domain information on its tree canopy cover.
Supplemental_Information:
Corner Coordinates (center of pixel, meters): upper left: -345945 (X), 2132415 (Y); lower right: 237225 (X), 1753875 (Y).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20130514
Ending_Date: 20150502
Currentness_Reference: Ground condition at time of imagery capture
Status:
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -160.323801
East_Bounding_Coordinate: -154.781517
North_Bounding_Coordinate: 22.243525
South_Bounding_Coordinate: 18.893937
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Category
Theme_Keyword: Earth Covers
Theme_Keyword: Imagery
Theme_Keyword: Base Map
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: GIS
Theme_Keyword: Percent Tree Canopy
Theme_Keyword: USFS
Theme_Keyword: Tree Canopy Cover
Theme_Keyword: Remote Sensing
Theme_Keyword: Continuous
Theme_Keyword: Digital Spatial Data
Theme_Keyword: U.S. Forest Service
Place:
Place_Keyword_Thesaurus:
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4: Washington, D.C., National Institute of Standards and Technology
Place_Keyword: U.S.
Place_Keyword: Hawaiian Islands
Place_Keyword: USA
Place_Keyword: United States of America
Place_Keyword: Hawaii
Place_Keyword: US
Place_Keyword: United States
Place_Keyword: HI
Place_Keyword: U.S.A.
Access_Constraints: None
Use_Constraints:
Any hardcopy or electronic products utilizing these datasets will clearly indicate their source. If the user has modified the data in any way, they are obligated to describe the types of modifications they have performed. User specifically agrees not to misrepresent these data sets, nor to imply that the MRLC approved the changes. Any data downloaded must be properly cited.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Position: Customer Services Representative
Contact_Address:
Address_Type: mailing and physical
Address: USGS/EROS
Address: 47914 252nd Street
City: Sioux Falls
State_or_Province: SD
Postal_Code: 57198-0001
Country: US
Contact_Voice_Telephone: 605/594-6151
Contact_TDD/TTY_Telephone: 605/594-6933
Contact_Facsimile_Telephone: 605/594-6589
Contact_Electronic_Mail_Address: custserv@usgs.gov
Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
Contact_Instructions:
The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
Data_Set_Credit: USDA Forest Service Remote Sensing Applications Center
Security_Information:
Security_Classification: Unclassified
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.5.4400
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
No formal independent accuracy assessment of the Hawaiian Islands TCC 2011 has been made. The random forest regression algorithm (Breiman 2001; Liaw and Wiener 2002; Cutler et al. 2007) employed in the Hawaiian Islands TCC 2011 mapping calculates the mean of squared residuals along with percent variability explained by the model for assessing prediction reliability. The random forest models consisted of 500 decision trees, which were used to determine the final response value. The response of each tree depended on a randomly chosen subset of predictor variables chosen independently (with replacement) for evaluation by that tree. The responses of the trees were averaged to obtain an estimate of the dependent variable. The standard error is the square root of the variance of the estimates given by all trees. A summary of the random forest model is available in the supplemental metadata.
Completeness_Report:
This product is the cartographic version of the Hawaiian Islands NLCD2011 USFS percent tree canopy product, version 1, dated 2016.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service Remote Sensing Applications Center
Title: Percent Tree Canopy Cover
Geospatial_Data_Presentation_Form: vector digital data
Type_of_Source_Media: None
Source_Citation_Abbreviation: PTCC
Process_Step:
Process_Description:
Creation of the Hawaiian Islands TCC 2011 Percent Tree Canopy Cover (PTCC), cartographic version (main process). The cartographic version of the PTCC product is a filtered version of the corresponding analytic product, in which values less than a calculated uncertainty have been set to zero. In essence, the filtering process reduces errors of commission by eliminating values that are not significantly different from zero. A threshold value was determined using data from 500 runs of the Random Forest™ algorithm on bootstrap samples. From these data, t-statistics were calculated. The t-statistic at the 95th interval was selected as the threshold value, which was 0.89. To create the cartographic layer, the product of the t-statistic threshold value and the standard error from the analytical layer was subtracted from the analytical PTCC value. If the result was less than 0, the PTCC value for that pixel was set to zero in the cartographic layer; otherwise, the PTCC value from the analytical layer was used.
Source_Used_Citation_Abbreviation: PTCC
Process_Date: 20160129
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 12223
Column_Count: 19228
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 8.0
Standard_Parallel: 18.0
Longitude_of_Central_Meridian: -157.0
Latitude_of_Projection_Origin: 3.0
False_Easting: 0.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.00000000499320584879115
Ordinate_Resolution: 0.00000000499320584879115
Planar_Distance_Units:
Geodetic_Model:
Horizontal_Datum_Name: D WGS 1984
Ellipsoid_Name: WGS 1984
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: nlcd2011_usfs_hawaii_canopy_cartographic.img.vat
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_Definition: Standard error
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 44
Attribute_Units_of_Measure: Percent
Attribute_Domain_Values:
Unrepresentable_Domain: 127 = No data available 255 = Background
Attribute:
Attribute_Label: Count
Attribute:
Attribute_Label: Red
Attribute:
Attribute_Label: Green
Attribute:
Attribute_Label: Blue
Attribute:
Attribute_Label: Opacity
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Position: Customer Services Representative
Contact_Address:
Address_Type: mailing and physical
Address: USGS/EROS
Address: 47914 252nd Street
City: Sioux Falls
State_or_Province: SD
Postal_Code: Country US
Contact_Voice_Telephone: 605/594-6151
Contact_TDD/TTY_Telephone: 605/594-6933
Contact_Facsimile_Telephone: 605/594-6589
Contact_Electronic_Mail_Address: custserv@usgs.gov
Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
Contact_Instructions:
The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
Distribution_Liability: See access and use constraints information.
Metadata_Reference_Information:
Metadata_Date: 20160203
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Position: Customer Services Representative
Contact_Address:
Address_Type: mailing and physical
Address: 47914 252nd Street
Address: USGS/EROS
City: Sioux Falls
State_or_Province: SD
Postal_Code: 57198-0001
Country: US
Contact_Voice_Telephone: 605/594-6151
Contact_TDD/TTY_Telephone: 605/594-6933
Contact_Facsimile_Telephone: 605/594-6589
Contact_Electronic_Mail_Address: custserv@usgs.gov
Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
Contact_Instructions:
The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Generated by mp version 2.9.6 on Wed Feb 03 10:37:32 2016