BLM SW Montana SILC3 Land Cover Classification

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Wildlife Spatial Analysis Lab, The University of Montana
Publication_Date: 20020131
Title: BLM SW Montana SILC3 Land Cover Classification
Publication_Information:
Publication_Place: Missoula, Montana
Publisher: Wildlife Spatial Analysis Lab, The University of Montana
Description:
Abstract:
BLMSILC3Z is an ArcInfo 30 meter region grouped grid (raster file) of ground feature polygons derived from four Landsat 5 Thematic Mapper (TM) images across south-west Montana. BLMSILC3 is an ArcInfo polygon coverage created from the BLMSILC3Z region grid. Three of the Landsat TM images were processed during the USFS Region One Eastside SILC3 classification. The forth Landsat image was processed during the USFS Region Four Central Idaho SILC2 classification. All of the SILC3 and SILC2 region grids were re-classified for Land Cover Type using addition data provide by the BLM and from ground truthing during the fall of 2001. Each of the Landsat TM images were processed separately and were then edgematched together to form one GIS region database.

First, each Landsat image was delineated into regions in an unsupervised classification. Second, each region was assigned a land cover type label in a supervised classification. Regions classified as conifer cover types were also assigned labels for tree size class and canopy cover. A total of 31 land cover type classes, 5 tree size classes, and 5 conifer canopy cover classes were labeled across the three scene area. Accuracies were estimated for the land cover type and tree size classifications of each Landsat image. Third, the regions from all Landsat images were edgematched together into the BLMSILC3Z database. Below is a description of how the original Landsat images were delineated into ground feature regions, how the regions were labeled to land cover type, tree size, and tree canopy, and how the Landsat images were edgematched into one database.

Image    SILC  Image-Date  Covertype-Acc  Treesize-Acc  SCENEPOLY-ID
-------------------------------------------------------------------------------
P40R28     3      7/26/96        72.2%          57.1%      50000001 ..
P39R28     3      6/28/94        80.7%          69.6%      52000001 ..
P39R29     3      6/28/94        72.1%          54.7%      53000001 ..
P40R29     2      7/31/92        62.8%       Not Assessed  48000001 ..

Each image was run through an unsupervised classification to classify the approximately 56 million pixels into 130-150 spectral classes. The SILC3 images used a potential natural vegetation (PVT) classification provided by Region One of the USDA Forest Service as a seed source in the unsupervised classification. Using an iterative classification process with spectral signature files and PVT seed, each pixel was assigned to a spectral class. The pixels were then merged into regions (raster polygons) through a multi-stage merge algorithm using a variable minimum map unit based on heterogeneity of the surrounding pixels. Regions larger than 202.4 hectares were divided until all regions in the grid were less than 202.4 hectares (500 acres). The final unsupervised classification resulted in the creation of regions ranging in size from 0.1 hectare to 202.2 hectares. Each region was assigned a set of attributes for TM channels 1-7 and panchromatic from the imagery, along with elevation, aspect, and slope from the 30 meter digital elevation model (DEM); these attribute values were calculated based on the mean values of the 30 meter pixels within each region.

Vegetation overstory (land cover type) was labeled using a supervised classification. The land cover type supervised classification was performed using a combination of manual and training data classifications. The following classes were manually labeled: urban, irrigated and non-irrigated agriculture, recently burned areas, water, mines, snow, and clouds. The other land cover types were labeled using training data and spatial classifiers. The training data were screened for data attribute accuracy, positional accuracy, and agreement with the imagery. The land cover type labels were filled into the COVERTYPE field of each scenes region grid.

COVERTYPE  DESCRIPTION
------------------------------------------------
1100       Urban or Developed Lands
2010       Agricultural - Dry
2020       Agricultural - Irrigated
3130       Very Low Cover Grasslands
3150       Low / Moderate Cover Grasslands
3170       Moderate / High Cover Grasslands
3301       Mountain Mahogany
3380       Low Cover Sagebrush / Xeric Shrublands (15-24% shrubs)
3390       Moderate Cover Sagebrush / Xeric Shrublands (25-34% shrubs)
3395       High Cover Sagebrush / Xeric Shrublands (>= 35% shrubs)
3550       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/10-24% grass)
3560       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/>= 25% grass)
3610       Mesic Shrublands
4101       Aspen
4150       Mixed Broadleaf / Cottonwood Forest
4203       Lodgepole Pine
4204       Whitebark Pine
4205       Limber Pine
4206       Ponderosa Pine
4212       Douglas-fir
4214       Rocky Moutain Juniper
4215       Western Larch
4216       Utah Juniper
4223       Douglas-fir/Lodgepole Pine
4230       Douglas-fir/Ponderosa Pine
4237       Subalpine Fir/Spruce
4241       Mixed Upper Subalpine Conifer Forest
4242       Mixed Lower Subalpine Conifer Forest
4244       Mixed Xeric Conifer Forest
4400       Burns
5000       Water
7300       Rock
7500       Mines/Quarries
9100       Snow
9800       Cloud
9900       Cloud Shadow

Conifer tree size and canopy cover labels were assigned using a training data classification. The training data were screened for data attribute accuracy, positional accuracy, and agreement with the imagery. Due to a high level of disagreement between the training data tree canopy call (see accuracy assessment), and the imagery, the tree canopy data was recoded based on MNDVI splits. The tree size labels were filled into the TREESIZE field and the tree canopy cover labels were filled into the TREECANOPY field of each scenes region grid.

TREESIZE  DESCRIPTION
-------------------------------------
1         Sapling      1.0-4.9"  DBH
2         Pole         5.0-8.9"  DBH
3         Medium       9.0-14.9" DBH
4         Large       15.0-20.9" DBH
5         Very Large  21.0-99.0" DBH

TREECANOPY DESCRIPTION ------------------------------------- 1 1-9% Cover 2 10-24% Cover 3 25-44% Cover 4 45-64% Cover 5 65-100% Cover

A cross validation (leave-one-out), accuracy assessment for land cover type and tree size of each scene was performed using the entire training data set. No estimate of accuracy was performed on the manually classified land cover types.

Edgematching was done by selecting regions from only one of the scenes in overlap areas. First, the imagery was visually analyzed to select cloud free or snow free areas in overlap zones. Next, the images were ranked based on overall image quality. Finally, after the land cover type classification, regions were selected that created a consistant covertype pattern across the transition zone from one scene to another. The end result was a region grid with 4,820,703 regions.

Image   Landsat  SILC  Date      Priority    Number of Regions Used
-------------------------------------------------------------
P40R28  5        3     07/26/96  1           229,193
P39R28  5        3     06/28/94  2            87,378
P39R29  5        3     06/28/94  3           241,569
P40R29  5        2     07/31/92  4            18,796
-------------------------------------------------------------
Total Regions in Database                    576,936

To help track similarities and differences in map legends between this classification and previous ones (SILC1 and MT-GAP) cover type names and codes numbers were not changed if the actual types were mapped using similar training data. Please see the individual scene report documents for further details.

Purpose:
This land cover classification from the four Landsat TM scenes was prepared for the Dillon BLM Resouce District under contract to the Bureau of Land Management. These data were produced to delineate ground features and map existing land cover in a standardized, consistent manner across the project area. This land cover grid is suited for analysis at the regional, sub-regional, and landscape levels; it can also provide support for many management disciplines, including timber, wildlife, fisheries, and recreation.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20020131
Currentness_Reference: calendar date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None Scheduled
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -115.08217114
East_Bounding_Coordinate: -110.13471410
North_Bounding_Coordinate: 47.08043398
South_Bounding_Coordinate: 43.53904167
Keywords:
Theme:
Theme_Keyword_Thesaurus: none
Theme_Keyword: vegetation
Theme_Keyword: land cover
Theme_Keyword: classification
Theme_Keyword: Landsat Thematic Mapper scenes
Theme_Keyword: remote-sensing image
Place:
Place_Keyword_Thesaurus: Geographic Names Information System
Place_Keyword: Montana
Access_Constraints:
This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a data set produced by the Bureau of Land Management and the Wildlife Spatial Analysis Lab at the University of Montana. COPYRIGHT (c) Copyright The University of Montana, 2002. This Arc Info dataset is copyrighted by the University of Montana.
Use_Constraints:
This data set is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the creators, the University of Montana, or the Bureau of Land Management, be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or inability to use this data set. Use of these data requires the ability to read ArcInfo Grid data sets. Users must assume responsibility for determining the suitability of these data for their purposes. Not for use at scales greater than 1:100000.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Wildlife Spatial Analysis Lab, The University of Montana
Contact_Person: Roland L. Redmond
Contact_Position: Principal Investigator
Contact_Address:
Address_Type: mailing and physical address
Address: Wildlife Spatial Analysis Lab, The University of Montana
City: Missoula
State_or_Province: MT
Postal_Code: 59812-1063
Country: USA
Contact_Voice_Telephone: 406 243 5208 (email preferred)
Contact_Facsimile_Telephone: 406 243 6064
Contact_Electronic_Mail_Address: red@wru.umt.,edu
Hours_of_Service: Monday-Friday, 8-5, Mountain Time
Data_Set_Credit:
The Wildlife Spatial Analysis Lab for creation of the geospatial data set.
Native_Data_Set_Environment:
The Wildlife Spatial Analysis Lab uses IBM RS/6000 Workstations running AIX 4.3.3 with ArcInfo software versions 8.0.2, and Imagine version 8.4.


Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Thematic accuracy of the land cover type and conifer tree size cover labels were assessed using a leave-one-out cross-validation. The cross-validation involved removing the first training observation from the training set and constructing a new classification rule from the reduced training set. This new rule was then used to classify the polygon containing the left-out training observation. The process was repeated until all observations were held out once and used as a singleton test set. The estimated accuracy rate was the percentage of (held-out) observations correctly classified. The manually classified land cover types did not have an accuracy assessment performed. The Mixed Conifer Forest types were classified as one group (4240 Mixed Conifer), and were then recoded into 3 types; 4241 Mixed Upper Subalpine Conifer Forest, 4242 Mixed Lower Subalpine Conifer Forest, 4244 Mixed Xeric Conifer Forest. The accuracy of 4240 Mixed Conifer type was used to report accuracies for the 3 recoded Mixed Conifer types.

Users accuracies of land cover types were:

COVERTYPE P40R28 P39R28 P39R29 P40R29 ------------------------------------- 3130 81.9 83.2 82.0 69.6 3150 88.7 80.9 92.1 85.6 3170 78.6 81.0 82.7 74.4 3301 84.0 75.7 NA NA 3380 40.2 38.8 38.2 41.0 3390 28.7 71.6 38.9 30.7 3395 48.3 36.8 48.7 31.2 3550 48.3 44.1 48.7 37.5 3560 33.3 33.3 17.6 28.6 3610 75.2 80.7 63.0 64.5 4101 81.0 79.2 75.8 73.1 4150 80.0 86.0 97.3 99.9 4203 76.2 78.8 75.1 84.8 4204 73.6 92.5 87.5 76.9 4205 NA 70.8 NA NA 4206 79.1 71.4 NA NA 4212 79.7 93.7 87.4 90.7 4214 NA 72.4 NA NA 4223 61.0 79.5 16.7 NA 4230 63.6 79.2 NA NA 4237 58.9 61.9 55.9 NA 4240 55.8 77.6 53.3 25.0 7300 99.2 99.4 98.4 99.9 ------------------------------------- Overall 72.2 80.7 72.1 62.8

Users accuracies of conifer tree size classes were:

TREESIZE P40R28 P39R28 P39R29 P40R29 ------------------------------------------------------------------------ 1 Sapling 46.3 17.9 47.1 NA 2 Pole 60.6 82.3 54.2 NA 3 Medium 65.1 79.1 60.1 NA 4 Large 51.1 25.7 23.5 NA 5 VLarge 13.8 12.1 28.6 NA ------------------------------------------------------------------------ Overall 57.1 69.6 54.7 NA

Logical_Consistency_Report:
All grid attributes were checked for consistency of appropriate range values.
Completeness_Report:
All areas within the BLMSILC3Z boundary have attributed regions.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Claimed root-mean square error for horizontal position of the terrain-corrected Landsat TM images is 18 meters in the x direction (WNW-ESE) and 30 meters in the y direction (NNE-SSW).
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Each region has a mean elevation in meters determined from Digital Elevation Models whose Root Mean Square accuracy varies from 7 meters to approximately 30 meters.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Multi-Resolution Land Cover Consortium (MRLC)
Publication_Date: 1992, 1994, 1996
Title:
Terrain-corrected Landsat 5 Thematic Mapper Images P38/R27, P38/R28, P38/R29, P39/R27, P39/R28, P39/R29, P40/R28, P40/R29
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Sioux Falls, South Dakota
Publisher: Multi-Resolution Land Cover Consortium (MRLC)
Source_Scale_Denominator: 60000
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 19940829
Calendar_Date: 19960721
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: MRLC
Source_Contribution:
Provided base imagery for classification of Eastside Assessment Area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS EROS Data Center
Publication_Date: 1999, 2000
Title:
Terrain-corrected Landsat 7 Thematic Mapper Images P37/R29 and P40/R27
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Sioux Falls, South Dakota
Publisher: USGS
Source_Scale_Denominator: 60000
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 19990727
Calendar_Date: 20000724
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: EROS
Source_Contribution:
Provided base imagery for classification of Eastside Assessment Area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Region 1
Publication_Date: 199504
Title: Potential natural vegetation (PVT) classification
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: USDA Forest Service
Source_Scale_Denominator: 100000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199808
Calendar_Date: 199904
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: PVT
Source_Contribution:
Provided PVT seed for unsupervised classification of image pixels.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Region 1
Publication_Date: 199504
Title: Existing Ground-Truth Databases and TSMRS Databases
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: USDA Forest Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199504
Calendar_Date: 199510
Calendar_Date: 199912
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: GRTR
Source_Contribution:
Provided training data and TSMRS data for assigning cover type labels.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Region 4
Publication_Date: 199504
Title: Existing Ground-Truth Databases
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: USDA Forest Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199609
Calendar_Date: 199705
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: GRTR
Source_Contribution: Provided training data for assigning cover type labels.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Bureau of Land Management
Publication_Date: 199704
Title: Existing Ground-Truth Databases
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: U.S. Bureau of Land Management
Source_Scale_Denominator: 60000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199704
Calendar_Date: 200109
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: GRTR
Source_Contribution: Provided training data for assigning cover type labels.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Natural Resource Conservation Service
Publication_Date: 199706
Title: Existing Ground-Truth Soil Survey Databases
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: Natural Resource Conservation Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 199706
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: GRTR
Source_Contribution:
Provided training data for assigning cover type labels. To protect private landowners, NRCS overlaid WSAL polygons with their points and identified polygons containing ground truth plots; source scale is 1:24,000 or finer.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Bureau of Indian Affairs
Publication_Date: 199706
Title: Existing Ground-Truth Databases
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Montana
Publisher: U.S. Bureau of Indian Affairs
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 199706
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: GRTR
Source_Contribution: Provided training data for assigning cover type labels.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 199603
Title: 1:100,000-scale Digital Line Graphs
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 100000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199603
Calendar_Date: 199704
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: HYDR
Source_Contribution: Provided hydrography layer.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 199507
Title: 7.5-minute Digital Elevation Models
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199507
Calendar_Date: 199609
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: DEM
Source_Contribution: Provided majority of topography layer.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Defense Mapping Agency
Publication_Date: 199507
Title: 1-degree Digital Elevation Models
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Bethesda, MD
Publisher: Defense Mapping Agency
Source_Scale_Denominator: 250000
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Calendar_Date: 199507
Calendar_Date: 199609
Source_Currentness_Reference: calendar date
Source_Citation_Abbreviation: DEM
Source_Contribution:
Provided topography layer where 7.5-minute DEM data were unavailable.
Process_Step:
Process_Description:
CLASSIFY: unsupervised classification of P40R28, P39R28, and P39R29 input image pixels into 130-150 spectral classes using PVT seed and nearest member group algorithm. Using an iterative stage classification with PVT seed and spectral class signatures, each pixel was assigned to a spectral class. P40R29 was classified into 130 spectral classes during the SILC2 classification.
Source_Used_Citation_Abbreviation: MRLC, EROS, PVT
Process_Date: 19990601
Source_Produced_Citation_Abbreviation: CLAS
Process_Step:
Process_Description:
MERGE: using customized software, P40R28, P39R28, and P39R29 had all classified pixels merged using a variable minimum map unit into regions ranging from 0.1 ha to 500.0 ha. Variable minimum map unit was based on a moving window algorithm comparing surrounding pixel heterogeneity; pixels under the minimum map unit were merged with the most similar neighbors. Regions larger than 202.4 ha were manually split until all regions were less than 202.4 ha (500 acres). P40R29 classified pixels were merged using a 5 acre minimum map unit.

MAKE_DEM: extracted a digital elevation model (DEM) from the WSAL database for use during labeling.

MAKE_HYDROGRAPHY: extracted a hydrography coverage from the WSAL hydrography database for use during labeling.

BUILD_VAT: built an ArcInfo value attribute table (VAT) to hold all items (fields) for which descriptive data could be developed for each region. Filled in VALUE, COUNT, LINK, HECTARES, PERIMETER, TM1, TM2, TM3, TM4, TM5, TM6, TM7, PAN, TM1STD, TM2STD, TM3STD, TM4STD, TM5STD, TM6STD, TM7STD, PANSTD, MNDVI, ELE, SLP, ASP, and SLPASP fields.

Source_Used_Citation_Abbreviation: CLAS, DEM, HYDR
Process_Date: 19990801
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
LABEL_MANUALLY: manually labeled urban, agriculture, water, recent burns, mines, snow, mountain shadow, and clouds. Filled in the MANLABEL field with the manual classification results.
Source_Used_Citation_Abbreviation: EXTR, CLAS
Process_Date: 20000101
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
PROCESS_GT: filled in spectral, topographic, and hydrologic information in ground-truth training data for use in supervised classification.
Source_Used_Citation_Abbreviation: GRTR, EXTR
Process_Date: 20000201
Source_Produced_Citation_Abbreviation: GRT
Process_Step:
Process_Description:
SILC3_COVERTYPE: performed supervised classification, assigning each region a land cover type label. The training data were analyzed for data attribute accuracy, positional accuracy, and agreement with the imagery. Training data and spatial classifiers were used to classify land cover types. Land cover types were classified using variables: TM1, TM2, TM3, TM4, TM5, TM7, MNDVI, ELEV (scaled elevation ELE / 25), SLP, and SLPASP; a Dudani distance-weighted classifier with a nearest neighborhood size of 10-15, and a mid inverser distance spatial classifer. The results of the classification were filled into the COV_CODE_1, COV_CODE_2, and COV_CODE_3 fields. The final land cover type label was filled into the COVERTYPE field from the MANLABEL field if it was > -1 or from the COV_CODE_1 field.

The Mixed Conifer type 4240 was recoded to 3 types using an aml based on the PVTCODE and ELEVATION for the region. The 3 types are:

4241  Mixed Upper Subalpine Conifer Forest
4242  Mixed Lower Subalpine Conifer Forest
4244  Mixed Xeric Conifer Forest

Source_Used_Citation_Abbreviation: EXTR, GRT
Process_Date: 20000501
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
RECODE_CANOPY_DATA: conifer canopy training data were recoded based on MNDVI values:
1  very low cover  0-9%    MNDVI < 10
2  low cover      10-24%   MNDVI >= 10 and MNDVI < 50
3  low/mod cover  24-44%   MNDVI >= 50 and MNDVI < 85
4  mod/high cover 44-64%   MNDVI >= 85 and MNDVI < 125
5  high cover     64-100%  MNDVI >= 125

CREATE CAN-SIZE CODE: A combined conifer canopy/sizeclass code was developed by multiplying the conifer canopy code by 100 and then adding the conifer sizeclass code. Thus for a plot with conifer canopy 2 (low cover - from above recode) and conifer sizeclass 3 (medium) the combined code would be:

(2 * 100) + 3 = 203

A total of 25 different conifer canopy/sizeclass codes were developed.

Source_Used_Citation_Abbreviation: EXTR, GRT
Process_Date: 20000515
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
LABEL_CONIFER_CANOPY_SIZE: performed supervised classification, labeled conifer regions classified in the LABEL_COVERTYPE process with a tree size class and tree canopy cover label. The classification used a Dudani distance-weighted classifier with a nearest neighborhood size of 10-15, and a mid inverse distance spatial classifier. The results of the classification were filled into the TREESIZE, TREE_SIZE_1, and TREECANOPY, TREE_CANOPY_1 fields.
Source_Used_Citation_Abbreviation: EXTR, GRT
Process_Date: 20000530
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
RECLASSIFY_COVERTYPE: using new data from the BLM (daub-mire transects), the Montana Natural Heritage Center, and ground truth data collected from (Oct-Dec 2001) land cover type was re-classified. One SILC3 land cover type was removed (3625 Sagebrush / Xeric Shrublands) and 6 new land cover types were added:

3301  Mountain Mahogany
3380  Low Cover Sagebrush / Xeric Shrublands (15-24% shrubs)
3390  Moderate Cover Sagebrush / Xeric Shrublands (25-34% shrubs)
3395  High Cover Sagebrush / Xeric Shrublands (>= 35% shrubs)
3550  Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/10-24% grass)
3560  Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/>= 25% grass)

Training data and spatial classifiers were used to classify land cover types. Land cover types were classified using variables: TM1, TM2, TM3, TM4, TM5, TM7, MNDVI, ELEV (scaled elevation ELE / 25), SLP, and SLPASP; a Dudani distance-weighted classifier with a nearest neighborhood size of 10-15, and a mid inverser distance spatial classifer. The results of the classification were filled into the COV_CODE_1, COV_CODE_2, and COV_CODE_3 fields. The final land cover type label was filled into the COVERTYPE field from the MANLABEL field if it was > -1 or from the COV_CODE_1 field.

The Mixed Conifer type 4240 was recoded to 3 types using an aml based on the PVTCODE and ELEVATION for the region. The 3 types are:

4241  Mixed Upper Subalpine Conifer Forest
4242  Mixed Lower Subalpine Conifer Forest
4244  Mixed Xeric Conifer Forest

Source_Used_Citation_Abbreviation: EXTR, GRT
Process_Date: 20020120
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description:
ACCURACY_ASSESS: performed accuracy assessment of the land cover type and conifer tree size using a leave-one-out cross-validation. The cross-validation involved removing the first training observation from the training set and constructing a new classification rule from the reduced training set. This new rule was then used to classify the polygon containing the left-out training observation. The process was repeated until all observations were held out once and used as a singleton test set.
Source_Used_Citation_Abbreviation: EXTR, GRT
Process_Date: 20020125
Source_Produced_Citation_Abbreviation: ACC
Process_Step:
Process_Description:
EDGEMATCH: for each scene, identified and labeled regions (KEEP = 1) to be retained where overlap occurs among scenes to make a seamless image for the entire project area. The BLMSILC3Z region grid was created using a merge of the four scene region grids. A value attribute table was then created and filled in from the scene region grids using the SCENEPOLY_ID attribute.
Source_Used_Citation_Abbreviation: EXTR
Process_Date: 20021215
Source_Produced_Citation_Abbreviation: EXTR
Process_Step:
Process_Description: VALIDATE: validation was performed for all items in the VAT.
Source_Used_Citation_Abbreviation: EXTR
Process_Date: 20020130
Source_Produced_Citation_Abbreviation: EXTR


Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid cell
Row_Count: 12671
Column_Count: 13522


Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 45 37 30
Standard_Parallel: 48 22 30
Longitude_of_Central_Meridian: -110 00 00
Latitude_of_Projection_Origin: 44 30 00
False_Easting: 0.00000
False_Northing: 0.00000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30
Ordinate_Resolution: 30
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1927
Ellipsoid_Name: Clarke 1866
Semi-major_Axis: 6378206.4
Denominator_of_Flattening_Ratio: 294.98


Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: BLMSILC3Z.VAT
Entity_Type_Definition: Value attribute table for grid
Entity_Type_Definition_Source: None
Attribute:
Attribute_Label: VALUE
Attribute_Definition:
Unique region identification number, assigned by ArcInfo software when the BUILDVAT process is run.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 576936
Attribute:
Attribute_Label: COUNT
Attribute_Definition:
Number of 30m x 30m pixels for each region in the zone grid. The area of a region can be calculated from the count attribute: acres = (count * 900) * .0002471 hectares = count * .09
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 6262
Attribute:
Attribute_Label: SCENEPOLY_ID
Attribute_Definition:
Unique 9-digit number for each region based on which Landsat image it came from. The first 2 digits identify the Landsat TM scene and the following 6 digits are the unique region identifier (value) from that scene region grid.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:


SCENE RANGE
------------------------------
P40R28 50408045 - 50767022
P39R28 52402964 - 52729600
P39R29 53040844 - 53473612
P40E29 48057437 - 48249136

Attribute:
Attribute_Label: COVERTYPE
Attribute_Definition:
Final land cover type class assigned after training data and manual classifications.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

COVERTYPE  DESCRIPTION
------------------------------------------------
1100       Urban or Developed Lands
2010       Agricultural - Dry
2020       Agricultural - Irrigated
3130       Very Low Cover Grasslands
3150       Low / Moderate Cover Grasslands
3170       Moderate / High Cover Grasslands
3301       Mountain Mahogany
3380       Low Cover Sagebrush / Xeric Shrublands (15-24% shrubs)
3390       Moderate Cover Sagebrush / Xeric Shrublands (25-34% shrubs)
3395       High Cover Sagebrush / Xeric Shrublands (>= 35% shrubs)
3550       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/10-24% grass)
3560       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/>= 25% grass)
3610       Mesic Shrublands
4101       Aspen
4150       Mixed Broadleaf / Cottonwood Forest
4203       Lodgepole Pine
4204       Whitebark Pine
4205       Limber Pine
4206       Ponderosa Pine
4212       Douglas-fir
4214       Rocky Moutain Juniper
4215       Western Larch
4216       Utah Juniper
4223       Douglas-fir/Lodgepole Pine
4230       Douglas-fir/Ponderosa Pine
4237       Subalpine Fir/Spruce
4241       Mixed Upper Subalpine Conifer Forest
4242       Mixed Lower Subalpine Conifer Forest
4244       Mixed Xeric Conifer Forest
4400       Burns
5000       Water
7300       Rock
7500       Mines/Quarries
9100       Snow
9800       Cloud
9900       Cloud Shadow

Attribute:
Attribute_Label: TREESIZE
Attribute_Definition:
Conifer tree size filled in from TREE_SIZE_1 for all regions where the COVERTYPE field is between 4203 and 4244.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

TREESIZE  DESCRIPTION
-------------------------------------
-1        NOT CONIFER
1         Sapling      1.0-4.9"  DBH
2         Pole         5.0-8.9"  DBH
3         Medium       9.0-14.9" DBH
4         Large       15.0-20.9" DBH
5         Very Large  21.0-99.0" DBH

Attribute:
Attribute_Label: TREECANOPY
Attribute_Definition:
Conifer tree canopy filled in from TREE_CANOPY_1 for all regions where the COVERTYPE field is between 4203 and 4244.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

TREECANOPY  DESCRIPTION
-------------------------------------
-1          NOT CONIFER
1            1-9%   Cover
2           10-24%  Cover
3           25-44%  Cover
4           45-64%  Cover
5           65-100% Cover

Attribute:
Attribute_Label: HECTARES
Attribute_Definition: Area of region in hectares.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.09
Range_Domain_Maximum: 1154.520020
Attribute_Units_of_Measure: meters
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: PERIMETER
Attribute_Definition: Perimeter of region in meters.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 120.0
Range_Domain_Maximum: 180060.0
Attribute_Units_of_Measure: meters
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM1
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 1.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 44.0
Range_Domain_Maximum: 255.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM2
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 2.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 11.0
Range_Domain_Maximum: 234.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM3
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 3.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 8.0
Range_Domain_Maximum: 255.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM4
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 4.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.0
Range_Domain_Maximum: 215.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM5
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 5.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.0
Range_Domain_Maximum: 254.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: TM7
Attribute_Definition: Mean spectral value of region in Thematic Mapper channel 7.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.0
Range_Domain_Maximum: 163.0
Attribute_Units_of_Measure: Units of radiance
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: MNDVI
Attribute_Definition:
Modified normalized difference vegetation index; calculated according to the following equation: (TM4 - TM3) / (TM4 + TM3 + 1) * ( 256 / (TM5 + 1)) * 100.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -3855.421631
Range_Domain_Maximum: 926.098206
Attribute:
Attribute_Label: ELE
Attribute_Definition: Mean elevation of region calculated from USGS DEM.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1223.0
Range_Domain_Maximum: 3389.0
Attribute_Units_of_Measure: meters
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: SLP
Attribute_Definition: Mean slope of region calculated from USGS DEM.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.0
Range_Domain_Maximum: 71.937500
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000099
Attribute:
Attribute_Label: ASP
Attribute_Definition: Majority aspect of the region calculated from USGS DEM.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

ASP  Description
--------------------
0    Flat
1    North
2    Northeast
3    East
4    Southeast
5    South
6    Southwest
7    West
8    Northwest

Attribute:
Attribute_Label: SLPASP
Attribute_Definition:
Mean slope/aspect combination of region; calculated according to the following equation: cos ( ( ( ( (ASP - 1) * 45) + 135) / 360) * 6.2832).
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -62.0
Range_Domain_Maximum: 53.0
Attribute:
Attribute_Label: COV_CODE_1
Attribute_Definition:
Most probable land cover type assigned in training data classification.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

COV_CODE_1 DESCRIPTION
------------------------------------------------
3130       Very Low Cover Grasslands
3150       Low / Moderate Cover Grasslands
3170       Moderate / High Cover Grasslands
3301       Mountain Mahogany
3380       Low Cover Sagebrush / Xeric Shrublands (15-24% shrubs)
3390       Moderate Cover Sagebrush / Xeric Shrublands (25-34% shrubs)
3395       High Cover Sagebrush / Xeric Shrublands (>= 35% shrubs)
3550       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/10-24% grass)
3560       Very Low Cover Sagebrush / Xeric Shrublands (5-14% shrubs/>= 25% grass)
3610       Mesic Shrublands
4101       Aspen
4150       Mixed Broadleaf / Cottonwood Forest
4203       Lodgepole Pine
4204       Whitebark Pine
4205       Limber Pine
4206       Ponderosa Pine
4212       Douglas-fir
4214       Rocky Moutain Juniper
4223       Douglas-fir/Lodgepole Pine
4230       Douglas-fir/Ponderosa Pine
4237       Subalpine Fir/Spruce
4241       Mixed Upper Subalpine Conifer Forest
4242       Mixed Lower Subalpine Conifer Forest
4244       Mixed Xeric Conifer Forest
7300       Rock

Attribute:
Attribute_Label: COV_PROB_1
Attribute_Definition:
Posterior probability of COV_CODE_1 prediction from supervised classification.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.184000
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: COV_CODE_2
Attribute_Definition:
Second most probable land cover type assigned in training data classification.
Attribute_Definition_Source: None
Attribute_Domain_Values:
Unrepresentable_Domain: See COV_CODE_1.
Attribute:
Attribute_Label: COV_PROB_2
Attribute_Definition:
Posterior probability of COV_CODE_2 prediction from supervised classification.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.174000
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: COV_CODE_3
Attribute_Definition:
Third most probable land cover type assigned in training data classification.
Attribute_Definition_Source: None
Attribute_Domain_Values:
Unrepresentable_Domain: See COV_CODE_1.
Attribute:
Attribute_Label: COV_PROB_3
Attribute_Definition:
Posterior probability of COV_CODE_3 prediction from supervised classification.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.174000
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: MANLABEL
Attribute_Definition: Land cover type class assigned from manual classifications.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

MANLABEL  DESCRIPTION
--------------------------------
1100       Urban or Developed Lands
2010       Agricultural - Dry
2020       Agricultural - Irrigated
4400       Burns
5000       Water
7500       Mines/Quarries
9100       Snow
9800       Cloud
9900       Cloud Shadow

Attribute:
Attribute_Label: TREE_SIZE_1
Attribute_Definition:
Most probable conifer tree size assigned in training data classification. Note: This field is filled in for all regions regardless of COVERTYPE code.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

TREESIZE  DESCRIPTION
-------------------------------------
1         Sapling      1.0-4.9"  DBH
2         Pole         5.0-8.9"  DBH
3         Medium       9.0-14.9" DBH
4         Large       15.0-20.9" DBH
5         Very Large  21.0-99.0" DBH

Attribute:
Attribute_Label: TREE_SIZE_PROB1
Attribute_Definition:
Posterior probability of TREE_SIZE_1 prediction from training data classification. P40R29 does not have posterior probabilities for tree_size_1.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -1.0
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: TREE_CANOPY_1
Attribute_Definition: Conifer canopy cover class assigned from canopy classification.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Unrepresentable_Domain:

TREECANOPY  DESCRIPTION
-------------------------------------
1            1-9%   Cover
2           10-24%  Cover
3           25-44%  Cover
4           45-64%  Cover
5           65-100% Cover

Attribute:
Attribute_Label: XCOORD
Attribute_Definition: X-coordinate from center of region in meters.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 266220.000000
Range_Domain_Maximum: 452385.000000
Attribute:
Attribute_Label: YCOORD
Attribute_Definition: Y-coordinate from center of region in meters.
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 17575.000000
Range_Domain_Maximum: 199075.734375


Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Bureau of Land Management, Dillon Montana Resource Area
Contact_Address:
Address_Type: mailing and physical address
Address: 1005 Selway Drive
City: Dillon
State_or_Province: MT
Postal_Code: 59725
Country: USA
Contact_Voice_Telephone: 406 683 2337
Contact_Facsimile_Telephone: 406 683 2229
Contact_Electronic_Mail_Address: John_Simons@blm.gov
Hours_of_Service: Monday-Friday, 8-5, Pacific Time
Contact_Instructions: email or call for data requests
Resource_Description: BLMSILC3Z ArcInfo grid
Distribution_Liability:
This data set is in the private domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a data set produced by The University of Montana under contract to the Bureau of Land Management; it is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the data set producers at The University of Montana or the Bureau of Land Management be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this data set.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ArcInfo Grid data sets
Digital_Transfer_Option:
Offline_Option:
Offline_Media: CD-ROM
Recording_Format: ISO 9660
Fees:
None.


Metadata_Reference_Information:
Metadata_Date: 20020131
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Wildlife Spatial Analysis Lab
Contact_Person: Chip Fisher
Contact_Position: Image Analyst
Contact_Address:
Address_Type: mailing and physical address
Address: Wildlife Spatial Analysis Lab, The University of Montana
City: Missoula
State_or_Province: Montana
Postal_Code: 59812-1063
Country: USA
Contact_Voice_Telephone: 406 243 5208 (email preferred)
Contact_Facsimile_Telephone: 406 243 6064
Contact_Electronic_Mail_Address: cfisher@wru.umt.edu
Hours_of_Service: Monday-Friday, 8-5, Mountain Time
Metadata_Standard_Name: FGDC Content Standards For Digital Geospatial Metadata
Metadata_Standard_Version: 19940608
Metadata_Time_Convention: local time

Generated by mp on Tue Apr 23 11:50:42 2002