LANDFIRE PLS (Percent Low-severity Fire) v1.2.0

LANDFIRE/Fire/PLS/v1_2_0
Dataset Availability
2010-01-01T00:00:00Z–2010-12-31T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("LANDFIRE/Fire/PLS/v1_2_0")
Tags
doi fire landfire nature-conservancy usda usgs vegetation wildfire

Description

LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy.

Landfire (LF) Historical fire regimes, intervals, and vegetation conditions are mapped using the Vegetation Dynamics Development Tool (VDDT). These data support fire and landscape management planning goals in the National Cohesive Wildland Fire Management Strategy, the Federal Wildland Fire Management Policy, and the Healthy Forests Restoration Act.

The Percent of Low-severity Fire (PLS) layer quantifies the amount of low-severity fires relative to mixed- and replacement-severity fires under the presumed historical fire regime. Low severity is defined as less than 25 percent average top-kill within a typical fire perimeter for a given vegetation type. PLS was derived from the vegetation and disturbance dynamics model VDDT (Vegetation Dynamics Development Tool) (LF 1.0.0 CONUS only used the vegetation and disturbance dynamics model LANDSUM). This layer is intended to describe one component of historical fire regime characteristics in the context of the broader historical time period represented by the LANDFIRE (LF) Biophysical Settings (BPS) layer and BPS Model documentation. This layer is created by linking the BPS Group attribute in the BPS layer with the Refresh Model Tracker (RMT) data and assigning the PLS attribute. This geospatial product should display a reasonable approximation of PLS, as documented in the RMT. PLS is used in landscape assessments.

The LANDIFRE Fire datasets include:

  • Fire Regime Groups (FRG) is intended to characterize presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context
  • Mean Fire Return Interval (MFRI) quantifies the average period between fires under the presumed historical fire regime
  • Percent of Low-severity Fire (PLS) image quantifies the amount of low-severity fires relative to mixed- and replacement-severity fires under the presumed historical fire regime and is defined as less than 25 percent average top-kill within a typical fire perimeter for a given vegetation type
  • Percent of Mixed-severity Fire (PMS) layer quantifies the amount of mixed-severity fires relative to low- and replacement-severity fires under the presumed historical fire regime, and is defined as between 25 and 75 percent average top-kill within a typical fire perimeter for a given vegetation type
  • Percent of Replacement-severity Fire (PRS) layer quantifies the amount of replacement-severity fires relative to low- and mixed-severity fires under the presumed historical fire regime, and is defined as greater than 75 percent average top-kill within a typical fire perimeter for a given vegetation type
  • 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
  • Vegetation Condition Class (VCC) represents a simple categorization of the associated Vegetation Departure (VDEP) layer and indicates the general level to which current vegetation is different from the simulated historical vegetation reference conditions
  • Vegetation Departure (VDep) indicates how different current vegetation on a landscape is from estimated historical conditions. VDep is based on changes to species composition, structural stage, and canopy closure.

Bands

Pixel Size
30 meters

Bands

Name Description
PLS

Percent Low-severity Fire

PLS Class Table

Value Color Description
1 #008200

0-5%

2 #138f00

6-10%

3 #229c00

11-15%

4 #34a600

16-20%

5 #47b300

21-25%

6 #66bf00

26-30%

7 #7ecc00

31-35%

8 #9bd900

36-40%

9 #b8e600

41-45%

10 #e2f200

46-50%

11 #fffb00

51-55%

12 #fadd00

56-60%

13 #f7c600

61-65%

14 #f5a300

66-70%

15 #f08c00

71-75%

16 #eb7100

76-80%

17 #e85d00

81-85%

18 #e63d00

86-90%

19 #e32a00

91-95%

20 #de1200

96-100%

111 #0000ff

Water

112 #c8ffff

Snow / Ice

131 #4e4e4e

Barren

132 #b2b2b2

Sparsely Vegetated

133 #e1e1e1

Indeterminate Fire Regime

Image Properties

Image Properties

Name Type Description
PLS_classes DOUBLE

Class values of the Percent Low-severity Fire.

PLS_names STRING

Descriptive names of Percent Low-severity Fire.

Terms of Use

Terms of Use

LANDFIRE data are public domain data with no use restrictions, though if modifications or derivatives of the product(s) are created, then please add some descriptive modifier to the data set to avoid confusion.

Citations

Citations:
  • The suggested way to cite LANDFIRE products is specific to each product, so the model for citation is provided, with an example for a particular product. Producer. Year released. Product xxxxx:

    • Individual model name.
    • BpS Models and Descriptions, Online. LANDFIRE. Washington, DC. U.S. Department of Agriculture, Forest Service
    • U.S. Department of the Interior; U.S. Geological Survey; Arlington, VA
    • The Nature Conservancy (Producers). Available- URL. Access date.

    Example Citation: LANDFIRE Biophysical Settings. 2018. Biophysical setting 14420: South Texas sand sheet grassland. In: LANDFIRE Biophysical Setting Model: Map zone 36, [Online]. In: BpS Models and Descriptions. In: LANDFIRE. Washington, DC: U.S. Department of Agriculture, Forest Service; U.S. Department of the Interior; U.S. Geological Survey; Arlington, VA: The Nature Conservancy (Producers). Available: https://www.landfire.gov/bps-models.php [2018, June 27]. Additional guidance on citation of LANDFIRE products can be found here

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('LANDFIRE/Fire/PLS/v1_2_0');

var visualization = {
  bands: ['PLS'],
};

Map.setCenter(-121.671, 40.699, 5);

Map.addLayer(dataset, visualization, 'PLS');
Open in Code Editor