LANDFIRE EVC (Existing Vegetation Cover) v1.4.0

LANDFIRE/Vegetation/EVC/v1_4_0
Dataset Availability
2014-09-01T00:00:00Z–2014-09-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("LANDFIRE/Vegetation/EVC/v1_4_0")
Tags
doi fire forest-biomass 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) layers are created using predictive landscape models based on extensive field-referenced data, satellite imagery and biophysical gradient layers using classification and regression trees.

LANDFIRE's (LF) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy layer for a 30-m cell. EVC is generated separately for tree, shrub, and herbaceous cover lifeforms using training data and other geospatial layers. Percentage tree, shrub, and herbaceous canopy cover training data are generated using plot-level ground-based visual assessments and lidar observations. * Once the training data are developed, relationships are then established separately for each lifeform between the training data and combination of Landsat and ancillary data. Each of the derived data layers (tree, shrub, herbaceous) has a potential range from 0-100 percent which are merged into a single composite EVC layer. * Disturbance data were used to develop LF Remap products for LFRDB plot filtering and to ensure 2015 and 2016 disturbances were included that were not visible in the source imagery. * The EVC product is then reconciled through QA/QC measures to ensure life-form is synchronized with both Existing Vegetation Height and Existing Vegetation Type products. LF uses EVC in several subsequent layers, including the development of the fuel layers.

The LANDIFRE Vegetation datasets include:

  • Biophysical Settings (BPS)
  • Environmental Site Potential (ESP)
  • Existing Vegetation Canopy Cover (EVC)
  • Existing Vegetation Height (EVH).
  • Existing Vegetation Type (EVT) These layers are created using predictive landscape models based on extensive field-referenced data, satellite imagery and biophysical gradient layers using classification and regression trees.

Bands

Pixel Size
30 meters

Bands

Name Pixel Size Description
EVC meters

Existing Vegetation Cover

EVC Class Table

Value Color Description
11 #0000ff

Open Water

12 #9fa1f0

Snow/Ice

13 #403da8

Developed-Upland Deciduous Forest

14 #444f89

Developed-Upland Evergreen Forest

15 #6677cd

Developed-Upland Mixed Forest

16 #7a8ef5

Developed-Upland Herbaceous

17 #9eaad7

Developed-Upland Shrubland

18 #343434

Developed-Herbaceous Wetland Vegetation

19 #343434

Developed-Woody Wetland Vegetation

20 #ffebe0

Developed - General

21 #fdccd3

Developed - Open Space

22 #ff7a8f

Developed - Low Intensity

23 #fd2c4f

Developed - Medium Intensity

24 #ad001c

Developed - High Intensity

25 #010101

Developed-Roads

31 #bfbfbf

Barren

32 #e6e8fa

Quarries-Strip Mines-Gravel Pits

60 #d21c5e

NASS-Orchard

61 #a80084

NASS-Vineyard

62 #d21c77

NASS-Bush fruit and berries

63 #fff58c

NASS-Row Crop-Close Grown Crop

64 #faff77

NASS-Row Crop

65 #ffed77

NASS-Close Grown Crop

66 #ffff77

NASS-Fallow/Idle Cropland

67 #e3d41c

NASS-Pasture and Hayland

68 #fae3a3

NASS-Wheat

69 #d2ffed

NASS-Aquaculture

75 #7f38ff

Herbaceous Semi-dry

76 #7f38ff

Herbaceous Semi-wet

78 #7f382b

Recently Disturbed Forest

80 #ffffbf

Agriculture - General

81 #ffff9c

Pasture/Hay

82 #ffff78

Cultivated Crops

83 #ffff54

Small Grains

84 #ffff2b

Fallow

85 #ffff00

Urban-Recreational Grasses

95 #7f8fff

Herbaceous Wetlands

100 #7a7f75

Sparse Vegetation Canopy

101 #ccff99

Tree Cover >= 10 and < 20%

102 #aee082

Tree Cover >= 20 and < 30%

103 #91c46c

Tree Cover >= 30 and < 40%

104 #77ab57

Tree Cover >= 40 and < 50%

105 #5e9144

Tree Cover >= 50 and < 60%

106 #467832

Tree Cover >= 60 and < 70%

107 #336324

Tree Cover >= 70 and < 80%

108 #204f16

Tree Cover >= 80 and < 90%

109 #003300

Tree Cover >= 90 and <= 100%

111 #d4b27d

Shrub Cover >= 10 and < 20%

112 #d1a171

Shrub Cover >= 20 and < 30%

113 #cc9166

Shrub Cover >= 30 and < 40%

114 #c77e5a

Shrub Cover >= 40 and < 50%

115 #c26e4f

Shrub Cover >= 50 and < 60%

116 #bd5e46

Shrub Cover >= 60 and < 70%

117 #b54c3c

Shrub Cover >= 70 and < 80%

118 #b03b33

Shrub Cover >= 80 and < 90%

119 #9e0020

Shrub Cover >= 90 and <= 100%

121 #ffcc66

Herb Cover >= 10 and < 20%

122 #ffba59

Herb Cover >= 20 and < 30%

123 #ffa94d

Herb Cover >= 30 and < 40%

124 #ff9a42

Herb Cover >= 40 and < 50%

125 #ff8636

Herb Cover >= 50 and < 60%

126 #ff752b

Herb Cover >= 60 and < 70%

127 #ff6421

Herb Cover >= 70 and < 80%

128 #ff5517

Herb Cover >= 80 and < 90%

129 #ff3300

Herb Cover >= 90 and <= 100%

150 #7a7f75

Sparse Vegetation Canopy

151 #ccff99

Tree Canopy >= 10 and < 25%

152 #467832

Tree Canopy >= 25 and < 60%

153 #003300

Tree Canopy >= 60 and <= 100%

161 #d4b27d

Shrub Canopy >= 10 and < 25%

162 #c26e4f

Shrub Canopy >= 25 and < 60%

163 #9e0020

Shrub Canopy >= 60 and <= 100%

171 #ffa94d

Herb Canopy >= 10 and < 60%

172 #ff752b

Herb Canopy >= 60 and <= 100%

Image Properties

Image Properties

Name Type Description
EVC_classes DOUBLE

Class values of the Existing Vegetation Cover.

EVC_names STRING

Descriptive names of the Existing Vegetation Cover.

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/Vegetation/EVC/v1_4_0');

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

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

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