LANDFIRE PRS (Percent of Replacement-severity Fire) v1.2.0

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

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 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. Replacement severity is defined as greater than 75 percent average top-kill within a typical fire perimeter for a given vegetation type. PRS 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 PRS attribute. This geospatial product should display a reasonable approximation of PRS, as documented in the RMT. PRS 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

Resolution
30 meters

Bands

Name Description
PRS

Percent of Replacement-severity Fire

PRS 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

Collection Properties

Collection Properties

Name Type Description
PRS_classes DOUBLE

Class values of the Percent of Replacement-severity Fire.

PRS_names STRING

Descriptive names of Percent of Replacement-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/national_veg_models_op2.php [2018, June 27]. Additional guidance on citation of LANDFIRE products can be found here

Explore in Earth Engine

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

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

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

Map.addLayer(dataset, visualization, 'PRS');