Services Directory - Tree_Cover_2019__

Tree_Cover_2019___RAPv2 (Map Service)

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Current Version: 10.81

Service Description: Tiled and re-symbolized data of the Sagebrush categorical tree cover 2019" for web visualization optimization. This product provides categorical tree cover across the sagebrush biome. Class categorization was performed with the cover 2.0 product at 30m resolution. Agriculture, development, and water were masked out according to the NLCD 2016 Land Cover product. Thematic raster data represents tree canopy cover in the following classes: 0: 0-1% 1: 2-10% 2: 11-20% 3: >=21% 255.

Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution is approximately 30m.

Download tip ============ To download a specific location, use the GDAL virtual file system. For example, the following gdal_translate command will retrieve a small section of Montana (see the gdal_translate documentation for more information): gdal_translate -co compress=lzw -co tiled=yes -co bigtiff=yes \ /vsicurl/

bioRxiv:2020.06.10.142489. dx.doi.org/10.1101/2020.06.10.142489

File-based data for download: rangeland.ntsg.umt.edu/data/rap/rap-derivatives/sagebrush/categorical-tree/sagebrush-categorical-tree-2019.tif
bioRxiv:2020.06.10.142489.

Map Name: Tree Cover 2019 - RAP

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Layers:

Tree Cover 2019 - RAP(0)

Tables:

Description: Tiled and re-symbolized data of the Sagebrush categorical tree cover 2019" for web visualization optimization. This product provides categorical tree cover across the sagebrush biome. Class categorization was performed with the cover 2.0 product at 30m resolution. Agriculture, development, and water were masked out according to the NLCD 2016 Land Cover product. Thematic raster data represents tree canopy cover in the following classes: 0: 0-1% 1: 2-10% 2: 11-20% 3: >=21% 255.

Copyright Text: Allred, B. W., B. T. Bestelmeyer, C. S. Boyd, C. Brown, K. W. Davies, L. M. Ellsworth, T. A. Erickson, S. D. Fuhlendorf, T. V. Griffiths, V. Jansen, M. O. Jones, J. Karl, J. D. Maestas, J. J. Maynard, S. E. McCord, D. E. Naugle, H. D. Starns, D. Twidwell, and D. R. Uden. 2020. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. bioRxiv:2020.06.10.142489. http://dx.doi.org/10.1101/2020.06.10.142489

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly,Tilemap

Tile Info:

Height: 256
Width: 256
DPI: 96
Levels of Detail: (# Levels: 24)

Level ID: 0 [Start Tile, End Tile]
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Level ID: 23 [Start Tile, End Tile]

Format: Mixed
Compression Quality: 75
Origin:
Spatial Reference:
102100

Initial Extent:

Full Extent:

Min Scale: 5.91657527591555E8
Max Scale: 0.0

Min LOD: 0
Max LOD: 13

Units: esriMeters

Supported Image Format Types: Mixed

Export Tiles Allowed: true
Max Export Tiles Count: 100000

Document Info:

Title: Sagebrush Categorical Tree Cover 2019 RAP
Author: matthew_heller@fws.gov_fws
Comments:
Subject: Tiled and re-symbolized data of the Sagebrush categorical tree cover 2019" for web visualization optimization. This product provides categorical tree cover across the sagebrush biome. Class categorization was performed with the cover 2.0 product at 30m resolution. Agriculture, development, and water were masked out according to the NLCD 2016 Land Cover product. Thematic raster data represents tree canopy cover in the following classes: 0: 0-1% 1: 2-10% 2: 11-20% 3: ge21% 255. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution is approximately 30m.
Category:
Keywords: Tree Cover 2019 RAP, RAP, 30m, sagebrush, threats, sagebrush threats