LANDFIRE 2022 Succession Class (SClass) HI

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
Landscape Fire and Resource Management Planning Tools (LANDFIRE)
Originator: Earth Resources Observation and Science Center (EROS)
Originator: U.S. Geological Survey (USGS)
Originator: Timothy Hatten, USGS PM
Publication_Date: 20231214
Title: LANDFIRE 2022 Succession Class (SClass) HI
Edition: LF 2022
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher:
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:
LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
Purpose:
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:
Beginning in LF 2022 and onward, LANDFIRE Hawaii products are offered in the projection Hawaii_Albers_Equal_Area_Conic (ESRI: 102700).
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2022
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Annually
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -160.6050
East_Bounding_Coordinate: -154.7598
North_Bounding_Coordinate: 22.2719
South_Bounding_Coordinate: 18.8544
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: Succession Class
Theme_Keyword: SClass
Theme_Keyword: U.S. Geological Survey (USGS)
Theme_Keyword: U.S. Forest Service (USFS)
Theme_Keyword: LANDFIRE 2022
Theme_Keyword: LF 2022
Place:
Place_Keyword_Thesaurus: Common geographic areas
Place_Keyword: US
Place_Keyword: HI
Place_Keyword: United States
Place_Keyword: Hawaii
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 this 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:
Originator:
National Interagency Fuels, Fire, and Vegetation Technology Transfer (NIFTT)
Publication_Date: 2010
Title:
Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook)
Edition: 3
Geospatial_Data_Presentation_Form: publication
Other_Citation_Details:
Hann, Wendel J.; Shlisky, Ayn; Havlina, Doug; Schon, Kathy; Barrett, Stephen W.; DeMeo, Thomas E.; Pohl, Kelly; Menakis, James P.; Hamilton, D.; Jones, J.; Levesque, Marc; Frame, Christine K. 2008. Interagency Fire Regime Condition Class (FRCC) guidebook. Version 1.3.0. 119 p. Homepage of the Interagency and The Nature Conservancy Fire Regime Condition Class website, USDA Forest Service, U.S. Department of the Interior, The Nature Conservancy, and Systems for Environmental Management
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:
Process_Step:
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: 20231214
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 12600
Column_Count: 20385
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Hawaii Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 8.0
Standard_Parallel: 18.0
Longitude_of_Central_Meridian: -157.0
Latitude_of_Projection_Origin: 13.0
False_Easting: 0
False_Northing: 0
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_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: SClass
Entity_Type_Definition: LF 2022 SClass attributes spreadsheet.
Entity_Type_Definition_Source: LF 2022
Attribute:
Attribute_Label: VALUE
Attribute_Definition: Numeric value.
Attribute_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -9999
Enumerated_Domain_Value_Definition: No Data
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -1111
Range_Domain_Maximum: 180
Attribute:
Attribute_Label: LABEL
Attribute_Definition: SClass label.
Attribute_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Fill-NoData
Enumerated_Domain_Value_Definition: Fill NoData
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: A
Enumerated_Domain_Value_Definition: 1 Succession Class A
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: B
Enumerated_Domain_Value_Definition: 2 Succession Class B
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: C
Enumerated_Domain_Value_Definition: 3 Succession Class C
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: D
Enumerated_Domain_Value_Definition: 4 Succession Class D
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: E
Enumerated_Domain_Value_Definition: 5 Succession Class E
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: UN
Enumerated_Domain_Value_Definition:
6 Uncharacteristic native vegetation cover, structure, and composition
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: UE
Enumerated_Domain_Value_Definition: 7 Uncharacteristic exotic vegetation
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Water
Enumerated_Domain_Value_Definition: 111 Water
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Snow/Ice
Enumerated_Domain_Value_Definition: 112 Snow / Ice
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Developed
Enumerated_Domain_Value_Definition: Developed
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Barren or Sparse
Enumerated_Domain_Value_Definition: 131 132 Barren or Sparse
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Agriculture
Enumerated_Domain_Value_Definition: 180 Agriculture
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Fill-Not Mapped
Enumerated_Domain_Value_Definition: Fill not mapped
Enumerated_Domain_Value_Definition_Source: LF 2022
Attribute:
Attribute_Label: DESCRIPTION
Attribute_Definition:
The Succession Classes (SClass) layer characterizes current vegetation conditions with respect to the vegetation species composition, cover, and height ranges of successional states that occur within each biophysical setting. SClass can also represent uncharacteristic vegetation components, such as exotic species, that are not found within the compositional or structural variability of successional states defined for a biophysical setting.
Attribute_Definition_Source: LF 2022
Attribute_Domain_Values:
Unrepresentable_Domain: See the ADD for additional information.
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 Succession Class (SClass) HI. 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/sclass.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: 20231214
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: 20231214
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 Mon Nov 27 12:22:43 2023