LANDFIRE EVC (Existing Vegetation Cover) v1.4.0

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LANDFIRE/Vegetation/EVC/v1_4_0
Dataset Availability
2014-09-01T00:00:00Z–2014-09-01T00:00:00
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("LANDFIRE/Vegetation/EVC/v1_4_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) 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

Resolution
30 meters

Bands

Name Description
EVC

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 in Earth Engine

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');
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 …
LANDFIRE/Vegetation/EVC/v1_4_0, doi,fire,landfire,nature-conservancy,usda,usgs,vegetation,wildfire
2014-09-01T00:00:00Z/2014-09-01T00:00:00
17.52 -175.1 71.48 -63.66
Google Earth Engine