LANDFIRE 2022 Historical Disturbance (HDist) Puerto Rico US Virgin Islands
Metadata also available as
Metadata:
- Identification_Information:
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- Citation:
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- Citation_Information:
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- Originator:
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Landscape Fire and Resource Management Planning Tools (LANDFIRE)
- Originator: Earth Resources Observation and Science Center (EROS)
- Originator: U.S. Geological Survey
- Originator: Timothy Hatten, USGS PM
- Publication_Date: 20231130
- Title:
-
LANDFIRE 2022 Historical Disturbance (HDist) Puerto Rico US Virgin Islands
- Edition: LF 2022
- Geospatial_Data_Presentation_Form: raster digital data
- Publication_Information:
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- Publication_Place: Sioux Falls, SD
- Publisher:
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Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
- Online_Linkage: https://www.landfire.gov
- Online_Linkage: https://doi.org/10.5066/P974JF8W
- Description:
-
- Abstract:
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LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types. HDist includes the year of disturbance that is recorded for that pixel. In LF 2022, the time since disturbance code is the same for both HDist and FDist. Starting with LF 2016 Remap, HDist replaced Vegetation Disturbance (VDist) from previous LF versions.
- Purpose:
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The LANDFIRE 2022 Update (LF 2022) is designed to produce vegetation, disturbance, and fuels products that inform wildland fire and ecological decision systems. LF 2022 is another update to the LF 2016 Remap base map and LF 2020, it includes adjustments to vegetation and fuels in disturbed areas for disturbances recorded in 2021 and 2022. Disturbances in 2022 represent the first full fiscal year of disturbance. Transition rulesets for vegetation account for disturbances from 2017 to 2022 while fuel updates utilize 2012 to 2022 disturbances. In LF 2022 Existing Vegetation Type (EVT) Ecological Systems classifications are the same as LF 2020, except in areas where agriculture or urban areas have changed. LF 2022 contains the first application of the “zero to one” Time Since Disturbance (TSD) rules for EVC and EVH transition rules. Both LF Existing Vegetation Cover (EVC) and Height (EVH), as well as all fuels products, are 2023 capable in disturbed areas.
LF 2022 products are designed to facilitate national and regional level strategic fire and resource management planning and reporting of management activities. The principal purposes of the products include providing, 1) national level, landscape scale geospatial products to support fire and fuels management planning, and 2) consistent fuels products to support fire planning, analysis, and budgeting to evaluate fire management alternatives.
Products are created at a 30-meter raster; however, the applicability of products varies by location and specific use. LF products were designed to support 1) national (all states) strategic planning, 2) regional (single large states or groups of smaller states), and 3) strategic/tactical planning for large sub regional landscapes and Fire Management Units (FMUs) (such as significant portions of states or multiple federal administrative entities). The applicability of LF products to support fire and land management planning on smaller areas will vary by product, location, and specific use. Managers and planners must evaluate LF products according to the scale and requirements specific to their needs.
- Supplemental_Information: See the ADD for additional information.
- Time_Period_of_Content:
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- Time_Period_Information:
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- Single_Date/Time:
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- Calendar_Date: 2022
- Currentness_Reference: ground condition
- Status:
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- Progress: Complete
- Maintenance_and_Update_Frequency: Annually
- Spatial_Domain:
-
- Bounding_Coordinates:
-
- West_Bounding_Coordinate: -68.1956
- East_Bounding_Coordinate: -64.2952
- North_Bounding_Coordinate: 19.5564
- South_Bounding_Coordinate: 16.6276
- Keywords:
-
- Theme:
-
- Theme_Keyword_Thesaurus: ISO 19115 Topic Category
- Theme_Keyword: imageryBaseMapsEarthCover
- Theme_Keyword: biota
- Theme:
-
- Theme_Keyword_Thesaurus: USGS Thesaurus
- Theme_Keyword: fires
- Theme_Keyword: hazard preparedness
- Theme_Keyword: remote sensing
- Theme_Keyword: image collections
- Theme_Keyword: geospatial datasets
- Theme_Keyword: geographic information systems
- Theme:
-
- Theme_Keyword_Thesaurus: None
- Theme_Keyword: raster digital data
- Theme_Keyword: Historical Disturbance
- Theme_Keyword: HDist
- Theme_Keyword: U.S. Geological Survey (USGS)
- Theme_Keyword: U.S. Forest Service (USFS)
- Theme_Keyword: LANDFIRE 2022
- Theme_Keyword: Disturbance
- Theme_Keyword: LF 2022
- Place:
-
- Place_Keyword_Thesaurus: Common geographic areas
- Place_Keyword: US
- Place_Keyword: IA
- Place_Keyword: United States
- Place_Keyword: Insular Areas
- Place_Keyword: OCONUS
- Place_Keyword: Puerto Rico
- Place_Keyword: US Virgin Islands
- Access_Constraints: None
- Use_Constraints: None
- Point_of_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization:
-
LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
- Contact_Position: Customer Service Representative
- Contact_Address:
-
- Address_Type: physical
- Address: 47914 252nd Street
- City: Sioux Falls
- State_or_Province: SD
- Postal_Code: 57198
- Country: U.S.
- Contact_Voice_Telephone: 605-594-6151
- Contact_Electronic_Mail_Address: helpdesk@landfire.gov
- Data_Set_Credit:
-
These products were created by the LF team at USGS EROS, Sioux Falls, SD. Refer to the contact information throughout the metadata to contact the LF team.
- Security_Information:
-
- Security_Classification_System: None in place
- Security_Classification: Unclassified
- Security_Handling_Description:
-
If there is ever doubt, contact the LF Help Desk at helpdesk@landfire.gov
- Native_Data_Set_Environment: Microsoft Windows 10; ESRI ArcGIS Suite
- Cross_Reference:
-
- Citation_Information:
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- Originator: USGS Advanced Research Computing (ARC)
- Publication_Date: 2021
- Title: USGS Denali Supercomputer: U.S. Geological Survey
- Geospatial_Data_Presentation_Form: publication
- Online_Linkage: https://www.usgs.gov/advanced-research-computing
- Online_Linkage:
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https://www.usgs.gov/advanced-research-computing/usgs-denali-supercomputer
- Data_Quality_Information:
-
- Attribute_Accuracy:
-
- Attribute_Accuracy_Report:
-
Products were tested to ensure that each attribute is represented consistently across all data sets. Attributes were not validated against in person observations.
- Logical_Consistency_Report:
-
The products were pixel "truth" tested for consistency of land or water characteristics across all products.
- Completeness_Report:
-
Products were formally tested to ensure that valid data was produced for all pixels. Each product was then validated and tested for duplicates, omissions, and errors.
- Lineage:
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- Process_Step:
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- Process_Description:
-
Beginning with the new base map of LF 2016 Remap (LF Remap), products were created using recent advances in image compositing, tiling algorithms, and faster computing hardware to ensure that LF products remained relevant. LF Remap leveraged the Landsat archive, lidar data, and user contributed field plot data compiled into the LF Reference Database (LFRDB), to create new vegetation products.
Reference resources included, but were not limited to, Forest Inventory and Analysis (FIA) program plot data (USFS https://www.fia.fs.usda.gov/), Landsat Dynamic Surface Water Extent [(DSWE) USGS https://www.usgs.gov/landsat-missions], the National Land Cover Database [(NLCD) USGS https://www.mrlc.gov/data], and National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/].
For LF 2022 reference resources included, but were not limited to, Monitoring Trends in Burn Severity [(MTBS) USGS https://mtbs.gov/], Burned Area Reflectance Classification [(BARC) USFS and USGS] and Rapid Assessment of Vegetation Condition after Wildfire [(RAVG) https://burnseverity.cr.usgs.gov/ravg/], National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/] for 2022, PAD 3.0 for federal and protected lands identification [https://doi.org/10.5066/P9Q9LQ4B], and a rasterized version of the Microsoft building footprint for 2022 to update developed areas [https://github.com/Microsoft/USBuildingFootprints]. Disturbances in LF 2022 were also identified with LF's remote sensing of landscape change (RSLC), which identifies spectral change in vegetation using automated algorithms and image analyst review of the entire country with Landsat imagery. Burned Area (BA) data from Landsat was also used and national events (polygons) were used to identify areas and types of disturbance.
To read more about LF reference resources go to https://www.landfire.gov/reference.php. Information about LF 2022 product testing is available by request or via the website at https://www.landfire.gov.
- Process_Date: 20231130
- Spatial_Data_Organization_Information:
-
- Direct_Spatial_Reference_Method: Raster
- Raster_Object_Information:
-
- Raster_Object_Type: Grid Cell
- Row_Count: 6768
- Column_Count: 12846
- Vertical_Count: 1
- Spatial_Reference_Information:
-
- Horizontal_Coordinate_System_Definition:
-
- Planar:
-
- Map_Projection:
-
- Map_Projection_Name: Albers Conical Equal Area
- Albers_Conical_Equal_Area:
-
- Standard_Parallel: 29.5
- Standard_Parallel: 45.5
- Longitude_of_Central_Meridian: -96.0
- Latitude_of_Projection_Origin: 23.0
- False_Easting: 0.0
- False_Northing: 0.0
- Planar_Coordinate_Information:
-
- Planar_Coordinate_Encoding_Method: row and column
- Coordinate_Representation:
-
- Abscissa_Resolution: 30.0
- Ordinate_Resolution: 30.0
- Planar_Distance_Units: meters
- Geodetic_Model:
-
- Horizontal_Datum_Name: North_American_Datum_1983
- Ellipsoid_Name: GRS 1980
- Semi-major_Axis: 6378137.0
- Denominator_of_Flattening_Ratio: 298.2572221010042
- Entity_and_Attribute_Information:
-
- Detailed_Description:
-
- Entity_Type:
-
- Entity_Type_Label: HDist
- Entity_Type_Definition: LF 2022 HDist attributes spreadsheet.
- Entity_Type_Definition_Source: LF 2022
- Attribute:
-
- Attribute_Label: VALUE
- Attribute_Definition: HDist year value.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: 0
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Unrepresentable_Domain:
-
Disturbances are identified by year, disturbance type, and severity.
- Attribute:
-
- Attribute_Label: DISTCODE_V
- Attribute_Definition:
-
Code that identifies disturbance year and Annual Disturbance code which identifies disturbance type and severity.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: 0
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 11
- Range_Domain_Maximum: 1091
- Attribute:
-
- Attribute_Label: DIST_TYPE
- Attribute_Definition: The category of disturbance.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Non Disturbed
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Wildfire
- Enumerated_Domain_Value_Definition: Wildfire.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Harvest
- Enumerated_Domain_Value_Definition: Harvest.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Mastication
- Enumerated_Domain_Value_Definition: Mastication.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Thinning
- Enumerated_Domain_Value_Definition: Thinning.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Other Mechanical
- Enumerated_Domain_Value_Definition: Other mechanical
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Wildland Fire Use
- Enumerated_Domain_Value_Definition: Wildland fire use.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Prescribed Fire
- Enumerated_Domain_Value_Definition: Prescribed fire.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Wildfire
- Enumerated_Domain_Value_Definition: Wildfire.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Insects
- Enumerated_Domain_Value_Definition: Insects.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Weather
- Enumerated_Domain_Value_Definition: Weather.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Disease
- Enumerated_Domain_Value_Definition: Disease.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Insects/Disease
- Enumerated_Domain_Value_Definition: Insects/disease.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Clearcut
- Enumerated_Domain_Value_Definition: Clearcut.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Unknown
- Enumerated_Domain_Value_Definition: Unknown.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Wildland Fire
- Enumerated_Domain_Value_Definition: Wildland fire.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute:
-
- Attribute_Label: TYPE_CONFI
- Attribute_Definition:
-
Classification level of confidence in the assignment of disturbance type.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: High
- Enumerated_Domain_Value_Definition: High confidence for causality based upon source information.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Medium
- Enumerated_Domain_Value_Definition: Medium confidence for causality based upon source information.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Low
- Enumerated_Domain_Value_Definition: Low confidence for causality based upon source information.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: N/A
- Enumerated_Domain_Value_Definition: Not applicable.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute:
-
- Attribute_Label: SEVERITY
- Attribute_Definition:
-
Disturbance severity. Classification of level of disturbance associated with effect on landcover.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Unburned/Low
- Enumerated_Domain_Value_Definition: Unburned or very low severity.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Low
- Enumerated_Domain_Value_Definition: Low severity.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Medium
- Enumerated_Domain_Value_Definition: Moderate severity.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: High
- Enumerated_Domain_Value_Definition: High severity.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Increased Green
- Enumerated_Domain_Value_Definition: Increased green.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute:
-
- Attribute_Label: SEV_CONFID
- Attribute_Definition: Severity level of confidence. Low, medium, moderate or High.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: High
- Enumerated_Domain_Value_Definition: High confidence.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Low
- Enumerated_Domain_Value_Definition: Low confidence.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: Medium
- Enumerated_Domain_Value_Definition: Medium confidence.
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute:
-
- Attribute_Label: HDIST_CAT
- Attribute_Definition: HDist category.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Unrepresentable_Domain: HDist category.
- Attribute:
-
- Attribute_Label: HDIST_YR
- Attribute_Definition: Year.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Unrepresentable_Domain: Year of historical Disturbance.
- Attribute:
-
- Attribute_Label: FDIST
- Attribute_Definition: FDist value.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NA
- Enumerated_Domain_Value_Definition: No Data
- Enumerated_Domain_Value_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 111
- Range_Domain_Maximum: 633
- Attribute:
-
- Attribute_Label: R
- Attribute_Definition: Red color value/255
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0
- Range_Domain_Maximum: 255
- Attribute:
-
- Attribute_Label: G
- Attribute_Definition: Green color value/255
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0
- Range_Domain_Maximum: 255
- Attribute:
-
- Attribute_Label: B
- Attribute_Definition: Blue color value/255
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0
- Range_Domain_Maximum: 255
- Attribute:
-
- Attribute_Label: RED
- Attribute_Definition: Red color value.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0.0
- Range_Domain_Maximum: 1.0
- Attribute:
-
- Attribute_Label: GREEN
- Attribute_Definition: Green color value.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0.0
- Range_Domain_Maximum: 1.0
- Attribute:
-
- Attribute_Label: BLUE
- Attribute_Definition: Blue color value.
- Attribute_Definition_Source: LF 2022
- Attribute_Domain_Values:
-
- Range_Domain:
-
- Range_Domain_Minimum: 0.0
- Range_Domain_Maximum: 1.0
- Overview_Description:
-
- Entity_and_Attribute_Overview:
-
LANDFIRE (LF) 2022 Historical Disturbance (HDist) PRVI. An Attribute Table is included with each product download as a .csv and embedded in the metadata. The Attribute Data Dictionary (ADD) can be found at https://www.landfire.gov/.
- Entity_and_Attribute_Detail_Citation: https://www.landfire.gov/hdist.php
- Distribution_Information:
-
- Distributor:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: U.S. Geological Survey
- Contact_Person: GS ScienceBase
- Contact_Address:
-
- Address_Type: mailing address
- Address: Denver Federal Center, Building 810, Mail Stop 302
- City: Denver
- State_or_Province: CO
- Postal_Code: 80225
- Country: United States
- Contact_Voice_Telephone: 1-888-275-8747
- Contact_Electronic_Mail_Address: sciencebase@usgs.gov
- Distribution_Liability:
-
This product is reproduced from geospatial information prepared by the U.S. Department of the Interior (DOI) USGS EROS. By removing the contents of this package or taking receipt of these files via electronic file transfer methods, you understand that the data stored on this media can be updated at any time. Represented features may not be in an accurate geographic location. USGS EROS makes no expressed or implied warranty, including warranty of merchantability and fitness, with respect to the character, function, or capabilities of the data or their appropriateness for any user's purposes. USGS EROS reserves the right to correct, update, modify, or replace this geospatial information without notification.
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
- Standard_Order_Process:
-
- Digital_Form:
-
- Digital_Transfer_Information:
-
- Format_Name: ARCG
- Format_Version_Date: 20231130
- Format_Specification: LF 2022
- Digital_Transfer_Option:
-
- Online_Option:
-
- Computer_Contact_Information:
-
- Network_Address:
-
- Network_Resource_Name: https://doi.org/10.5066/P974JF8W
- Fees: none
- Metadata_Reference_Information:
-
- Metadata_Date: 20231130
- Metadata_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization:
-
LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
- Contact_Position: Customer Service Representative
- Contact_Address:
-
- Address_Type: physical
- Address: 47914 252nd Street
- City: Sioux Falls
- State_or_Province: SD
- Postal_Code: 57198
- Country: U.S.
- Contact_Voice_Telephone: 605-594-6151
- Contact_Electronic_Mail_Address: helpdesk@landfire.gov
- Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
- Metadata_Standard_Version: FGDC-STD-001-1998
- Metadata_Time_Convention: local time
- Metadata_Security_Information:
-
- Metadata_Security_Classification_System: None
- Metadata_Security_Classification: Unclassified
- Metadata_Security_Handling_Description: None
Generated by mp version 2.9.12 on Tue Nov 14 09:07:50 2023