NLCD2011 USFS Percent Tree Canopy (Cartographic Version): NLCD2011_CAN_Illinois

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 20140331
Title:
NLCD2011 USFS Percent Tree Canopy (Cartographic Version): NLCD2011_CAN_Illinois
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: none
Issue_Identification: none
Publication_Information:
Publication_Place: USGS/EROS, 47914 252nd Street, Sioux Falls, SD, 57198-0001, US
Publisher: U.S. Geological Survey
Other_Citation_Details:
References: (1.0 Edition) Benton et al., (In Preparation). A strategy for estimating tree canopy cover using Landsat 5 Thematic Mapper (TM) images over large areas. Brand, Gary J.; Nelson, Mark D.; Wendt, Daniel G.; Nimerfro, Kevin K. 2000. The hexagon/panel system for selecting FIA plots under an annual inventory. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C., 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. Chander, G.; Markham, B.L.; Helder, D.L. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113(2009): 893-903. Chavez, P.S. 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24(1988): 459-479. Coulston, John W.; Jacobs, Dennis M.; King, Chris R.; Elmore, Ivey C. 2013. The influence of multi-season imagery on models of canopy cover: a case study. Photogrammetric Engineering & Remote Sensing 79(5):469?477. Coulston, John W.; Moisen, Gretchen G.; Wilson, Barry T.; Finco, Mark V.; Cohen, Warren B.; Brewer, C. Kenneth. 2012. Modeling percent tree canopy cover: a pilot study. Photogrammetric Engineering & Remote Sensing 78(7): 715?727. Cutler, R.D.; Edwards, T.C.; Beard, K.H.; Cutler, A.; Hess, K.T.; Gibson, J.; Lawler, J.J. 007. Random forest for classification in ecology. Ecology 88 (11):2783-2792. Huang, C.; Yang, L.; Wylie, B.; Homer, C. 2001. A strategy for estimating tree canopy density sing 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. Moisen, Gretchen G.; Coulston, John W.; Wilson, Barry T.; Cohen, Warren B.; Finco, Mark V. 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: US Department of Agriculture, Forest Service, Southern Research Station: 195-200. Tipton, John; Moisen, Gretchen; Patterson, Paul; Jackson, Thomas A.; Coulston, John. 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: US Department of Agriculture, Forest Service, Southern Research Station: 201-208. Zhu, Z.; Woodcock, C.E. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment. 118(2012): 83-94.
Larger_Work_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 20140101
Title: NLCD 2011
Edition: 4.0
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: none
Issue_Identification: none
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher: U.S. Geological Survey
Other_Citation_Details:
References: Fry, J.; Xian, G.; Jin, S.; Dewitz, J.; Homer, C.; Yang, L.; Barnes, C.; Herold, N.; Wickham, J. 2011. Completion of the 2006 National Land Cover Database for the conterminous United States, Photogrammetric Engineering & Remote Sensing 77(9):858-864.
Homer, C.; Gallant, A. 2001. Partitioning the conterminous United States into mapping zones for Landsat TM land cover mapping, USGS Draft White Paper. <http://landcover.usgs.gov/pdf/homer.pdf>
Homer, C.; Huang, C.; Yang, L.; Wylie, W.; Coan, M. 2004. Development of a 2001 National Land-Cover Database for the United States. Photogrammetric Engineering & Remote Sensing 70(7): 829-840.
Online_Linkage:
<http://gisdata.usgs.gov/tdds/downloadfile.php?TYPE=nlcd2011_can_state&ORIG=META&FNAME=NLCD2011_CAN_Illinois.zip>
Online_Linkage:
<http://tdds.cr.usgs.gov/metadata/nlcd/2011/canopy/states/NLCD2011_CAN_Illinois.htm>
Online_Linkage: <http://nationalmap.gov/viewer.html>
Description:
Abstract:
The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product 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 current, consistent, and seamless national land cover, percent tree canopy, and percent impervious cover at medium spatial resolution. This product is the cartographic version of the NLCD2011 percent tree canopy cover dataset for CONUS at medium spatial resolution (30 m). It was produced by the USDA Forest Service Remote Sensing Applications Center (RSAC). Tree canopy values range from 0 to 100 percent. The analytic tree canopy layer was produced using a Random Forests? regression algorithm. The cartographic product is a filtered version of the regression algorithm output.
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: -2362845 (X), 3180555(Y); lower right: 2266440 (X), 251175 (Y).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20070101
Ending_Date: 20110101
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -90.6768071433032
East_Bounding_Coordinate: -84.6803540105246
North_Bounding_Coordinate: 57.4751944782882
South_Bounding_Coordinate: 51.2702348804028
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Digital Spatial Data
Theme_Keyword: U.S. Forest Service
Theme_Keyword: Remote Sensing
Theme_Keyword: Percent Tree Canopy
Theme_Keyword: Continuous
Theme_Keyword: GIS
Theme_Keyword: Tree Canopy Cover
Theme_Keyword: USFS
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: Earth Covers
Theme_Keyword: Imagery
Theme_Keyword: Base Map
Theme_Keyword: imageryBaseMapEarthCover
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.A.
Place_Keyword: United States of America
Place_Keyword: US
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: U.S.
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: tnm_help@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
Browse_Graphic:
Browse_Graphic_File_Name:
<http://tdds.cr.usgs.gov/browse/nlcd/2011/canopy/states/NLCD2011_CAN_Illinois.jpg>
Browse_Graphic_File_Description: Tiled NLCD Browse Image
Browse_Graphic_File_Type: JPEG
Data_Set_Credit: USDA Forest Service Remote Sensing Applications Center
Security_Information:
Security_Classification_System: none
Security_Classification: Unclassified
Security_Handling_Description: n/a
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 this product has been made. The Random Forests? regression algorithm (Breiman 2001; Cutler et al. 2007) employed in creating this product calculates the mean of squared residuals along with percent variability explained by the model for assessing prediction reliability. The Random Forests? 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 Forests? models is available in the supplemental metadata associated with the analytic version of this product.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Unknown
Attribute_Accuracy_Explanation: Unknown
Logical_Consistency_Report: Unknown
Completeness_Report:
This product is the cartographic version of the NLCD2011 USFS percent tree canopy product, version 1, dated 2014.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: Unknown
Quantitative_Horizontal_Positional_Accuracy_Assessment:
Horizontal_Positional_Accuracy_Value: 0
Horizontal_Positional_Accuracy_Explanation: Unknown
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report: Unknown
Quantitative_Vertical_Positional_Accuracy_Assessment:
Vertical_Positional_Accuracy_Value: 0
Vertical_Positional_Accuracy_Explanation: Unknown
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Multi-Resolution Land Characteristics Consortium (MRLC)
Publication_Date: 20110101
Title: NLCD 2006 Land Cover
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher: U.S. Geological Survey
Type_of_Source_Media: None
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: Unknown
Source_Currentness_Reference: Unknown
Source_Citation_Abbreviation: NLCD06LC
Source_Contribution: land cover information
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service Remote Sensing Applications Center
Publication_Date: 20140331
Title: NLCD 2011 USFS Percent Tree Canopy
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher: U.S. Geological Survey
Type_of_Source_Media: None
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: Unknown
Source_Currentness_Reference: Unknown
Source_Citation_Abbreviation: NLCD2011TC
Source_Contribution: percent tree canopy cover
Process_Step:
Process_Description:
Creation of NLCD2011 USFS Percent Tree Canopy, cartographic version. The cartographic version of the percent tree canopy 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 for each of 68 geographic zones using data from 500 runs of the Random Forest? algorithm on bootstrap samples. From these data, t-statistics were calculated. For each zone, the t-statistic at the 95th interval was selected as the threshold value. Threshold values ranged from 0.5 to 1.6. To create the cartographic layer, the product of the t-statistic threshold value and the standard error from the analytic layer was compared to the analytic percent tree canopy value. If the threshold-error product was greater than the percent tree canopy, the tree canopy value for that pixel was set to zero in the cartographic layer; otherwise, the percent tree canopy from the analytic layer was used.
Source_Used_Citation_Abbreviation: NLCD2006 LC, NLCD2011 TC
Process_Date: 20140101
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 21061
Column_Count: 11799
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30.000000
Ordinate_Resolution: 30.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.2572221
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: nlcd2011_usfs_treecanopy_cartographic_3-31-2014.img.vat
Entity_Type_Definition: Unknown
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_Definition: Percent tree canopy cover
Attribute_Definition_Source: Unknown
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 100
Attribute_Units_of_Measure: Percent
Attribute:
Attribute_Label: Count
Attribute_Definition: Unknown
Attribute_Definition_Source: Unknown
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Unknown
Enumerated_Domain_Value_Definition: Unknown
Enumerated_Domain_Value_Definition_Source: Unknown
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 National Geospatial Program Office
Address: 12201 Sunrise Valley Drive
City: Reston
State_or_Province: VA
Postal_Code: 20192
Country: USA
Contact_Voice_Telephone: 1-888-ASK-USGS (1-888-275-8747)
Contact_Electronic_Mail_Address: tnm_help@usgs.gov
Hours_of_Service: Monday through Friday 8:00 AM to 4:00 PM Eastern Time Zone USA
Contact_Instructions:
The USGS point of contact is for questions relating to the data display and download from this web site.
Resource_Description: Downloadable data
Distribution_Liability:
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoTIFF
Transfer_Size: 44.883765
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
<http://gisdata.usgs.gov/tdds/downloadfile.php?TYPE=nlcd2011_can_state&ORIG=META&FNAME=NLCD2011_CAN_Illinois.zip>
Access_Instructions:
The URL <http://nationalmap.gov/viewer.html> provides a download interface that allows for data downloads. The download page allows the customer to download a zipped file that can be saved on the customer's computer. The file can then be unzipped and imported into various user software applications.
Online_Computer_and_Operating_System: Not available for dissemination
Fees: None
Ordering_Instructions: Contact Customer Services
Turnaround: Variable
Custom_Order_Process: Contact Customer Services Representative
Technical_Prerequisites:
ESRI ArcMap Suite and/or Arc/Info software, and supporting operating systems.
Metadata_Reference_Information:
Metadata_Date: 20140326
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: 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: tnm_help@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
Metadata_Access_Constraints: None
Metadata_Use_Constraints: None
Generated by mp version 2.9.12 on Fri Jun 13 12:54:34 2014