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<idPurp>This USFS Forest Inventory &amp; Analysis image service depicts total forest carbon (tons per pixel) for CONUS circa the period 2014-2018.</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span style='font-size:12pt'&gt;This image service was developed using data from over 213,000 national forest inventory plots measured during the period 2014-2018 from the USFS Forest Inventory and Analysis (FIA) program, in conjunction with other auxiliary information. Roughly 4,900 Landsat 8 OLI scenes, collected during the same time period, were processed to extract information about vegetation phenology. This information, along with climatic and topographic raster data, were used in an ecological ordination model of tree species. The model produced a feature space of ecological gradients that was then used to impute FIA plots to pixels. The plots imputed to each pixel were then used to assign values (tons per pixel) for total forest carbon.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-size:12pt'&gt;Carbon Pools can be found - &lt;/span&gt;&lt;a href='https://usfs.maps.arcgis.com/home/item.html?id=4a604935bdce4a6eb77a967fab47ddff' style='text-decoration:underline;'&gt;&lt;span&gt;HERE&lt;/span&gt;&lt;/a&gt;&lt;span style='font-size:12pt'&gt;.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-size:12pt'&gt;For more information about the methods used to produce this dataset please see the following references:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span style='font-size:14pt'&gt;Wilson, Barry T.; Knight, Joseph F.; McRoberts, Ronald E. 2018. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data. ISPRS Journal of Photogrammetry and Remote Sensing. 137: 29-46.&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span style='font-size:14pt'&gt;Wilson, Barry Tyler; Woodall, Christopher W.; Griffith, Douglas M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management. 8:1. doi:10.1186/1750-0680-8-1&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span style='font-size:14pt'&gt;Wilson, B. Tyler; Lister, Andrew J.; Riemann, Rachel I. 2012. A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. Forest Ecology and Management. 271: 182-198.&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span style='font-size:14pt'&gt;Ohmann, Janet L.; Gregory, Matthew J. 2002. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research. 32: 725-741&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>USDA, USFS, FIA, Wilson, Barry T.</idCredit>
<idCitation>
<resTitle>USFS_FIA_BIGMAP_CONUS_TotalForestCarbon_2018</resTitle>
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<keyword>FIA</keyword>
<keyword>US Forest Service</keyword>
<keyword>Forest Inventory</keyword>
<keyword>Carbon stocks</keyword>
<keyword>Forest Carbon</keyword>
<keyword>carbon</keyword>
<keyword>BIGMAP</keyword>
<keyword>USFS</keyword>
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<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. As a work of the United States Government, these data are within the public domain of the United States.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at &lt;/span&gt;&lt;/span&gt;&lt;a href='https://creativecommons.org/public-domain/cc0/' style='text-decoration:underline;'&gt;&lt;span style='text-decoration:underline;'&gt;&lt;span&gt;https://creativecommons.org/public-domain/cc0/&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;span&gt;&lt;span&gt;).&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='font-weight:bold;margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;Non-Discrimination Statement&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;&lt;span&gt;To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at &lt;/span&gt;&lt;/span&gt;&lt;a href='https://www.usda.gov/oascr/how-to-file-a-program-discrimination-complaint' style='text-decoration:underline;'&gt;&lt;span style='text-decoration:underline;'&gt;&lt;span&gt;How to File a Program Discrimination Complaint&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;span&gt;&lt;span&gt; and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: &lt;/span&gt;&lt;/span&gt;&lt;a href='mailto:program.intake@usda.gov' style='text-decoration:underline;'&gt;&lt;span style='text-decoration:underline;'&gt;&lt;span&gt;program.intake@usda.gov&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;span&gt;&lt;span&gt;.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 14 0;'&gt;&lt;span&gt;USDA is an equal opportunity provider, employer, and lender.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
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<placeKeys>
<keyword>CONUS</keyword>
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<tempKeys>
<keyword>2014; 2018</keyword>
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