This dataset protrays forest/non-forest for the contiguous U.S. Models
built by See5, a nonparametric classifier, were developed using USDA
Forest Service Forest Inventory and Analysis Program data, MODIS
composite images from the 2002 growing season, and nearly 100 other
geospatial data layers, including elevation, slope, aspect, ecoregions.
The dataset was developed as a collaborative effort between the
USFS Forest Inventory and Analysis Program and the USFS Geospatial Technology and Applications Center.
Purpose:
The purpose of this dataset is to portray broad distribution
patterns of forest/non-forest cover in the contiguous U.S. and provide
input to national scale modeling projects.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: unknown
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -127.977889
East_Bounding_Coordinate: -65.259849
North_Bounding_Coordinate: 51.652084
South_Bounding_Coordinate: 22.802651
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: FIA
Theme_Keyword: Forest Cover
Theme_Keyword: Forest Inventory and Analysis
Theme_Keyword: MODIS
Theme_Keyword: CART
Access_Constraints: None
Use_Constraints:
None. It is the responsibility of the data user to use the
data appropriately and consistent within the limitations of geospatial
data in general and these data in particular. Using the data for other
than their intended purpose may yield inaccurate or misleading results.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Gretchen G. Moisen, Ph.D.
Contact_Organization: USDA Forest Service Forest Inventory and Analysis
Acknowledgement of the USDA Forest Service Forest Inventory
and Analysis Program and Geospatial Technology and Applications Center would be
appreciated in products derived from these data.
Native_Data_Set_Environment:
Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.1.0.722
Originator: USDA Forest Service Geospatial Technology and Applications Center
Publication_Date: 2002
Title: Dominate Aspect
Other_Citation_Details:
Created using USGS National Elevation Dataset (<https://www.usgs.gov>)
Processing Steps 1. Imported BILmeters format into ESRI GRID format. 2.
Reprojected into Albers Conical Equal Area NAD 27 with a 60m resolution
3. Mosaicked tiles into a contiguous dataset 4. Resampled to 30m
resolution to maintan continuity with CONUS dataset 5. Used a 3x3 focal
mean function to output a 90m DEM dataset 6. Created an Aspect Dataset
from the 90m DEM 7. Reclassified the Aspect dataset into 4 categories
Category 1: 0° - 90° Category 2: 90° - 180° Category 3: 180° - 270°
Category 4: 270° - 360° 8. Performed a 3x3 Focal Majority output to
270m resolution 9. Reprojected/Resampled to a 250m NAD83 dataset.
Source_Scale_Denominator: 30-meter
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2002
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Dominate Aspect
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service Geospatial Technology and Applications Center
Publication_Date: 2002
Title: Mean Elevation
Other_Citation_Details:
Created using USGS National Elevation Dataset (<https://www.usgs.gov>)
Processing Steps 1. Imported BILmeters format into ESRI GRID format. 2.
Reprojected into Albers Conical Equal Area NAD 27 with a 60m resolution
3. Mosaicked tiles into a contiguous dataset 4. Resampled to 30m
resolution to maintan continuity with CONUS dataset 5. Used a 3x3 focal
mean function to output a 90m DEM dataset 6. Reprojected / Resampled to
NAD83 with 250m cell size using Bilear Interpolation.
Source_Scale_Denominator: 30-m
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2002
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Mean Elevation
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service Geospatial Technology and Applications Center
Publication_Date: 2002
Title: Percent Slope
Other_Citation_Details:
Created using USGS National Elevation Dataset (<https://www.usgs.gov>)
Processing Steps 1. Imported BILmeters format into ESRI GRID format. 2.
Reprojected into Albers Conical Equal Area NAD 27 with a 60m resolution
3. Mosaicked tiles into a contiguous dataset 4. Resampled to 30m
resolution to maintan continuity with CONUS dataset 5. Used a 3x3 focal
mean function to output a 90m DEM dataset 6. Reprojected / Resampled to
NAD83 with 250m cell size using Bilear Interpolation.
Source_Scale_Denominator: 30-meter
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2002
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Percent Slope
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service Geospatial Technology and Applications Center
Publication_Date: 2002
Title: Variety Dominate Aspect
Other_Citation_Details:
Created using USGS National Elevation Dataset (<https://www.usgs.gov>)
Processing Steps 1. Imported BILmeters format into ESRI GRID format. 2.
Reprojected into Albers Conical Equal Area NAD 27 with a 60m
resolution. 3. Mosaicked tiles into a contiguous dataset. 4. Resampled
to 30m resolution to maintan continuity with CONUS dataset. 5. Used a
3x3 focal mean function to output a 90m DEM dataset. 6. Created an
Aspect Dataset from the 90m DEM. 7. Reclassified the Aspect dataset
into 4 categories. Category 1: 0° - 90° Category 2: 90° - 180° Category
3: 180° - 270° Category 4: 270° - 360° 8. Performed 3x3 Focal Variety
function output to 270m. 9. Reprojeced / Resampled to NAD83 at 250m
resolution.
Bailey’s Ecoregions and Subregions of the United States, Puerto Rico, and the U.S. Virgin Islands
Other_Citation_Details:
This map layer is commonly called Bailey’s ecoregions and
shows ecosystems of regional extent in the United States, Puerto Rico,
and the U.S. Virgin Islands.
Processing Steps: 1. Downloaded file from <https://www.fs.fed.us/institute/ecoregions/eco_download.html>.
2. Imported ArcInterchange file into ArcCoverage format (Albers Conical
Equal Area Clark1866) 3. Imported ArcCoverage file into raster format
with 250m cell resolution. 4. Reprojected / Resampled to common Albers
Conical Equal Area NAD83 projection.
Created using MODIS data from the Land Processes Distribution Active Archive Center (<https://edcdaac.usgs.gov/main.html>)
LP DAAC Data Set - MODIS/Terra Vegetation Indices 16-Day L3 Global 250
ISIN GRID v003 MODIS Product - MOD13Q1 Processing Steps: 1. Imported
MODIS EOD HDF format file into ERDAS Imagine (*,img) format. 2.
Reprojected into Albers Conical Equal Area NAD27 from Integerized
Sinusoidal using ERDAS Imagine 8.5 with the Nearest Neighbor and
Rigerous Transformation options selected. 3. Mosaicked Tiled data into
a contiguous dataset. 4. Subset area of interest from entire image 5.
Resampled / reprojected to a common coordinate system & resolution
(250m) in an Albers Conical Equal Area NAD83 projection.
Created using MODIS data from the Land Processes Distribution Active Archive Center (<https://edcdaac.usgs.gov/main.html>)
LP DAAC Data Set - MODIS/Terra Vegetation Indices 16-Day L3 Global 250
ISIN GRID v003 MODIS Product - MOD13Q1 Processing Steps: 1. Imported
MODIS EOD HDF format file into ERDAS Imagine (*,img) format. 2.
Reprojected into Albers Conical Equal Area NAD27 from Integerized
Sinusoidal using ERDAS Imagine 8.5 with the Nearest Neighbor and
Rigerous Transformation options selected. 3. Mosaicked Tiled data into
a contiguous dataset. 4. Subset area of interest from entire image 5.
Resampled / reprojected to a common coordinate system & resolution
(250m) in an Albers Conical Equal Area NAD83 projection.
Created using USGS National Land Cover dataset (<http://landcover.usgs.gov/natllandcover.html>)
Processing Steps 1. Mosaicked individual state datasets into FIA
Regions 2. Extracted desired class into a binary dataset 3. Ran a 9x9
focal sum function then divided by 81 to get percentage. 4. Resampled
to 250m resolution using Nearest Neighbor 5. Mosaicked FIA regions into
a CONUS dataset.
Created using MODIS data from the Land Processes Distribution Active Archive Center (<https://edcdaac.usgs.gov/main.html>)
LP DAAC Data Set - MODIS/Terra Vegetation Continuous Fields Yearly L3
Global 500m ISIN v003 MODIS Product - MOD44B Processing Steps: 1.
Imported MODIS EOD HDF format file into ERDAS Imagine (*,img) format.
2. Reprojected into Lambert Conformal Conic NAD27 from Integerized
Sinusoidal using ERDAS Imagine 8.5 with the Nearest Neighbor and
Rigerous Transformation options selected. 3. Subset area of interest
from entire image 4. Resampled / reprojected to a common coordinate
system & resolution (250m)
Source_Citation_Abbreviation: Precipitation and Temperature
Process_Step:
Process_Description:
The methodology used to produce the national forest type
database combined ground-truth (from FIA plot data) with multi-date
imagery and variety of other spatially continuous geospatial data. The
predictor data themes include,
- Elevation, slope, and aspect
- Bailey's Ecoregions
- MODIS Vegetation Indices such as EVI, NDVI
- MODIS Vegetation Continuous Fields
- MODIS fire points for developed from the MODIS Active Fire Maps
- MODIS 8-day composites
- climate data.
Statistical models developed in Rulequest's See5 data mining
software link the FIA plot variables with the imagery and geospatial
data. See5 creates classification trees, which have the advantage of
not assuming parametric properties within the predictor data and are
thus are more appropriate for the multi-scale, multi-source data, which
are being used.
Contact_Organization: USDA Forest Service Geospatial Technology and Applications Center
Contact_Address:
Address_Type: mailing and physical address
Address: 125 South State Street, Suite 7105
City: Salt Lake City
State_or_Province: Utah
Postal_Code: 84138
Country: USA
Contact_Voice_Telephone: 801-975-3750
Contact_Facsimile_Telephone: 801-975-3478
Resource_Description: Downloadable Data
Distribution_Liability:
Although these data have been used by the USDA Forest Service,
the USDA Forest Service shall not be held liable for improper or
incorrect use of the data described and/or contained herein. These data
are not legal documents and are not intended to be used as such.
It is the responsibility of the data user to use the data appropriately
and consistent within the limitations of geospatial data in general and
these data in particular. Using the data for other than their intended
purpose may yield inaccurate or misleading results. The USDA Forest
Service gives no warranty, expressed or implied, as to the accuracy,
reliability, or completeness of these data. It is strongly recommended
that these data are directly acquired from the USDA Forest Service
server and not indirectly through other sources which may have changed
the data in some way. Although these 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. This disclaimer
applies both to individual use of the data and aggregate use with other
data.
The USDA Forest Service reserves the right to correct, update or modify this data and related materials without notification.
