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Last updated on 7/28/2023 2:06:18 PM.
This layer contains the estimated ground transport time in hours from every point within the Continental United States (CONUS) to a definitive care facility (hospital). This data includes both walking speeds when traveling off-road and driving speeds according to the speed limit of the roads traveled. The intent of this layer is to initiate discussions regarding Agency Administrator risk tolerance and mitigation as it pertains to firefighter safety at the earliest possible opportunity in the decision making process. It is not intended to automatically deter resource deployment to any location, but to encourage thoughtful decisions about the risks being transferred to firefighters and how to mitigate those risks. This layer contains several assumptions including, but not limited to, the following:
Provided here is a National mosaicked dataset derived from regional raster analysis and converted to a vector polygon dataset identifying four travel time bands: 1-2 hours, 2-4 hours, 4-6 hours and 6+ hours to the nearest hospital.
EVT - Landfire Existing Vegetation Type. National. Version 1.0, Public Use. Reclass raster data based on "NVCS" (National Vegetation Classification Standard) Order" and "EVT Name" found in this table.
NVCS Order Value |
Reclass Value |
Herbaceous/Nonvascular-dominated |
Grass |
N/A |
Non-burnable |
No Data |
NoData |
No Dominant Lifeform |
Non-burnable |
Non-vegetated (not EVT "open water") |
Non-burnable |
Non-vegetated (EVT "open water") |
Water |
Shrub-dominated |
Brush |
Tree-dominated |
Timber |
Slope - USGS Elevation Derivatives for National Applications (EDNA). 2006. Public Use. Reclass raster data using this table.
Value |
Reclass Value |
No Data |
NoData |
0 to 10 Degrees |
Flat |
11-30 Degrees |
Moderate |
Greater than 30 degrees |
Steep |
Matrix - Reclass unique combinations of EVT Reclass and Slope Reclass grid values using this table. The data was converted to hours/meter for use in the calculations.
|
NoData |
Grass |
Brush |
Timber |
Non-burnable |
Water |
||
NoData |
NoData |
NoData |
NoData |
NoData |
NoData |
NoData |
||
Flat |
NoData |
(3mph) hours per meter |
(1.5mph) hours per meter |
(.75mph) hours per meter |
(3mph) hours per meter |
(.01mph) hours per meter |
||
Moderate |
|
|
(1.5mph) hours per meter |
(.75mph) hours per meter |
(.25mph) hours per meter |
(2mph) hours per meter |
|
|
Steep |
NoData |
(1mph) hours per meter |
(.5mph) hours per meter |
(.1mph) hours per meter |
(1mph) hours per meter |
|
Streets - Navteq. Septemer 2010. Version 2010.2. For Official Use Only (FOUO); no other use constraints. Any use of the data provided by NAVTEQ requires a copy right notice. © NAVTEQ - All rights reserved. Polyline data converted to raster grid conforming to matrix cell size, grid, projection and mask. Reclass value based upon speed category using this table.
Value |
Data Dictionary Range |
Selected Value |
Reclass Value |
1 |
65-80mph |
70mph |
0.00000887673132 hours per meter |
2 |
55-64mph |
60mph |
0.0000103561865 hours per meter |
3 |
41-54mph |
50mph |
0.0000124274238 hours per meter |
4 |
31-40mph |
40mph |
0.0000155342798 hours per meter |
5 |
21-30mph |
30mph |
0.0000207123731 hours per meter |
6 |
6-20mph |
15mph |
0.0000414247461 hours per meter |
7 |
Less than 6 mph |
5mph |
0.000124274238 hours per meter |
Cost Raster - Calculate cost raster values from Matrix and Streets grids using Cell statistics (minimum overlay statistic.) The resulting unit is hours per meter.
Hospital - TechniGraphics, Inc. (TGS). February 2010. For Official Use Only (FOUO). Point data converted to raster grid conforming to cost raster cell size, grid, projection, and mask. Excluded urgent care clinics and clipped this layer to the US States layer to exclude Canadian and Mexican hospitals to get at "definitive" care.
Process: Applied the Cost distance algorithm in ArcGIS10 using the hospital grid and cost raster. The result is a 30m grid of CONUS with ground transport time to the nearest hospital.
Value Range |
Reclass Values |
0-1 |
NoData |
1.000001-1 |
2 |
2.000001-2 |
4 |
4.000001-6 |
6 |
>6 |
7 |
Use constraints: This dataset is provided "as is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. User must assume responsibility for determining the suitability of these data for their purposes.
This dataset is to be used in planning and implementation phases of an active wildfire. This dataset is meant to quantify what many practitioners know qualitatively about the remoteness of many of the lands we manage. Our highest priority is to manage for the safety of the public and our firefighters. This dataset can help ensure that we have taken the proper steps to ensure a timely response should a serious accident occur. These data are an estimate of the ground transport time to a fixed set of hospitals and should not be used for real-time route finding or specific evacuation routes.
There is a known issue with these data surrounding large water bodies. Due to some discrepancies with the processing of the data there are frequently small polygons in the 6+-hour bin that typically appear to the north and east side of lakes/ponds/large water bodies. These polygons represent a slight limitation in the dataset and were determined to not have a significant negative effect on the intent of the dataset. These polygons are a known limitation and will be addressed in future data updates.
Data Source: |
National Park Service NIFC |
Extent: |
National |
Projection/Datum: |
Projection/Datum |
Data Download: |
The WFDSS application is "data rich". It requires data which is spatially oriented and graphically displays information to support wildland fire and other natural resource decisions. Due to the type and number of interagency spatial data sets required in April 2009 an interagency GIS Team was formed to provide data support for WFDSS. This Team is responsible for acquiring, consolidating, and validating their agency spatial and tabular data. In addition this team developed and maintained communications among local, regional, and national agency personnel to improve the collection process and provide explicit guidance on data needs. The members of the WFDSS GIS Team are:
Table 1: WFDSS GIS Team
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WFMRD&AAmanda Rumsey |
WFMRD&AJonah Vaughan |
WFMRD&ASusan McClendon |
BLM - AFSJennifer L. Jenkins |
BLM - NIFCJulie Osterkamp |
BIA - NIFCJoseph Kafka |
NPS - NIFCSkip Edel |
USFS - NIFCCole Belongie |
USFWS - NIFCAndrew Bailey |