eng utf8 dataset dataset FHTET RS Prog. Mgr. (970) 295 5842 (970) 295-5815

USDA Forest Service, FHTET 2150A Centre Avenue Ft. Collins CO 80526 US jellenwood@fs.fed.us

8:00AM - 4:00PM MST pointOfContact 2025-09-03 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 2 row 13456 30.000000 column 13704 30.000000 area -19050029.254300 2762189.716600 -19050029.254300 10958969.716600 -7335119.254300 10958969.716600 -7335119.254300 2762189.716600 -13192574.254300 6860579.716600 center 3857 EPSG 6.18.3(9.3.1.2) Forest Health Technology Enterprise Team (FHTET) originator mapDigital These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team) Remote Sensing Program to develop raster datasets of forest parameters for each of the tree species measured in the Forest Service’s Forest Inventory and Analysis (FIA) program. This dataset was created to support the 2013–2027 National Insect and Disease Risk Map (NIDRM) assessment. The statistical modeling approach used data-mining software and an archive of geospatial information to find the complex relationships between GIS layers and the presence/abundance of tree species as measured in over 300,000 FIA plot locations. Unique statistical models were developed from predictor layers consisting of climate, terrain, soils, and satellite imagery. Modeled basal area (BA) and stand density index (SDI) datasets for individual tree species were further post-processed to 1) match BA and SDI histograms of FIA data, 2) ensure that the sum of individual species BA and SDI on a pixel did not exceed separately modeled total for all species BA and SDI raster datasets, 3) derive additional tree parameters like quadratic mean diameter and trees per acre. With Landsat image collection dates ranging from 1985 to 2005, and a mean collection date for treed areas of 2002, and FIA plot data generally ranging from 1999 to 2005, the vintage of the base parameter datasets varies based on location, but can be roughly considered as 2002 1 inch. Expressed as number of equivalent 10-inch diameter trees per acre. These data were developed in support of the 2013-2027 National Insect and Disease Forest Risk Assessment (https://www.fs.usda.gov/science-technology/data-tools-products/fhp-mapping-reporting) and the National Individual Tree Species Atlas (Ellenwood et. al, 2015) These data are a product of a multi-year effort by the US Forest Service FHTET (Forest Health Technology Enterprise Team) Remote Sensing Program, and is served via the Interdepartmental Imagery Publication Platform (IIPP), which is hosted by the Dept. of Interior's GeoPlatform. completed FHTET RS Prog. Mgr. (970) 295 5842 (970) 295-5815

USDA Forest Service, FHTET 2150A Centre Avenue Ft. Collins CO 80526 US jellenwood@fs.fed.us

8:00AM - 4:00PM MST pointOfContact unknown Alabama Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming West Region Interior West Region Pacific Northwest Region Pacific Southwest Region Rocky Mountain Region Intermountain Region Northern Region Southwestern Region Region 1 R1 Region 2 R2 Region 3 R3 Region 4 R4 Region 5 R5 Region 6 R6 Southern Region Northeastern Area Region 8 R8 Region 9 R9 NA CONUS Coterminous US. place 2002; 2011; temporal basal area stocking stand density density forest parameters host maps FHTET host maps cubist see 5 host model FHTET modeled theme health theme The USDA Forest Service manages these data for planning purposes, not necessarily for on-the-ground implementation. It is the sole responsibility of the user to determine whether or not the data are suitable for the intended purpose. It is strongly recommended that these data are directly acquired from a USDA Forest Service server and not indirectly through other sources which may have changed the data in some way. Although these geospatial data have been processed successfully on a computer system at the USDA Forest Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.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 data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. Additionally, The U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/). 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. 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. To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint 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: program.intake@usda.gov. USDA is an equal opportunity provider, employer, and lender. See access and use constraints information. grid eng utf8 health ESRI ArcCatalog 9.3.1 true -125.276402 -118.631686 45.142784 49.662848 true -171.129324 -65.892497 24.072046 69.660076 Basal Area raster image Band_1 1310 1 Unified Code of Units of Measure 16 RS Prog. Mgr. FHTET RS Prog. Mgr. (970) 295 5842 (970) 295-5815

USDA Forest Service, FHTET 2150A Centre Avenue Ft. Collins CO 80526 US jellenwood@fs.fed.us

8:00AM - 4:00PM MST distributor dataset Users must exercise caution regarding the spatial and content accuracy of these data due to the inexact nature of modeling, calculating, and or surfacing layers like this. The information contained in these geospatial data is dynamic and may change over time. The geospatial data are not better than the original sources from which they were derived. The user is responsible to use the geospatial data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The USDA Forest Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these geospatial data. The data is in the form of an ArcInfo Grid and has been snapped to a standard snap grid used at FHTET (2011_NIDRM-Compatible_Alaska_Mapextents.doc,  2011_NIDRM-Compatible_CONUS_Mapextents.doc,  2011_NIDRM-Compatible_Hawaii_Mapextents.doc, Complete for the Coterminous 48 states. Users must exercise caution regarding the spatial and content accuracy of these data due to the inexact nature of modeling, calculating, and or surfacing layers like this. Any products (hardcopy or electronic) utilizing these data sets shall clearly indicate their source. If the user has modified the data in any way, (s)he is obligated to describe the types of modifications they have performed on the hardcopy map. The user specifically agrees not to misrepresent these data sets, nor to imply that changes made were approved by the USDA Forest Service. These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team) Remote Sensing Program to develop raster datasets of forest parameters for each of the tree species measured in the Forest Service’s Forest Inventory and Analysis (FIA) program. This dataset was created to support the 2013–2027 National Insect and Disease Risk Map (NIDRM) assessment. The statistical modeling approach used data-mining software and an archive of geospatial information to find the complex relationships between GIS layers and the presence/abundance of tree species as measured over 300,000 FIA plot locations. Unique statistical models were developed from predictor layers consisting of climate, terrain, soils, and satellite imagery. Modeled basal area (BA) and stand density index (SDI) datasets for individual tree species were further post-processed to 1) match BA and SDI histograms of FIA data, 2) ensure that the sum of individual species BA and SDI on a pixel did not exceed separately modeled total for all species BA and SDI raster datasets, 3) derive additional tree parameters like quadratic mean diameter and trees per acre. With Landsat image collection dates ranging from 1985 to 2005, and a mean collection date for treed areas of 2002, and FIA plot data generally ranging from 1999 to 2005, the vintage of the base parameter datasets varies based on location, but can be roughly considered as 2002. RS Prog. Mgr. FHTET RS Prog. Mgr. (970) 295 5842 (970) 295-5815

USDA Forest Service, FHTET 2150A Centre Avenue Ft. Collins CO 80526 US

8:00AM - 4:00PM MST processor unknown