This feature layer depicts location and other details about U.S. Fish & Wildlife Service internships that are hosted through our partners (e.g. Student Conservation Association, American Conservation Experience, Hispanic Access Foundation, etc.) in one central location so that we are able to share these opportunities with potential applicants and the public.This map is mostly auto-populated by financial assistant intake requests to NWRS Division of Realty, Budget, Performance, and Workforce (Youth Financial Assistance team) on SharePoint. However, for any internship opportunities that are not captured through that process can be added to this map via the Survey123 form on the Youth SharePoint site.Questions about this dashboard/map can be directed to Rachel_F_McCracken@fws.gov

NOTE: The Historic Traffic Data Dashboard & Feature Hosted Service have been retired.Network operations traffic data from Main Roads Western Australia from 2013 onwards. The data provided includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals.

The Historic Traffic Data is provided in CSV format per year. Each table has over 34 million rows and can be linked to the M-Links Road Network using the M-Links ID. A data dictionary for M-Links Road Network and the Historic Traffic Data is at the following link:https://mainroads.sharepoint.com/:w:/s/mr-opendata/EVHlw9Ils59Al4q3y7xxWxABBSOHVr4SCrxOYzJw1dReQg?e=KUhjhb

The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected. An automated process is used to patch over missing or suspect data with the most representative data available within the database. Patches may be reapplied as new data becomes available and patched data may change over time.

Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes.

Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

description: Expands the use of internal data for creating Geographic Information System (GIS) maps. SSA's Database Systems division developed a map users guide for GIS data object publishing and was made available in an internal Sharepoint site for access throughout the agency. The guide acts as the reference for publishers of GIS objects across the life-cycle in our single, central geodatabase implementation.; abstract: Expands the use of internal data for creating Geographic Information System (GIS) maps. SSA's Database Systems division developed a map users guide for GIS data object publishing and was made available in an internal Sharepoint site for access throughout the agency. The guide acts as the reference for publishers of GIS objects across the life-cycle in our single, central geodatabase implementation.

This is a resized version (200x200) of the USFWS logo to be used on the Midwest Conservation Action Portal ArcGIS website. This image was originally taken from: https://doimspp.sharepoint.com/sites/fws-gis/Geospatial%20Library/Forms/Current%20Documents.aspx?id=%2Fsites%2Ffws%2Dgis%2FGeospatial%20Library%2FFWS%20Map%20Templates%20%26%20Elements%2FMap%20Elements%2FLogo%5FUSFWS%5F02%2Egif&parent=%2Fsites%2Ffws%2Dgis%2FGeospatial%20Library%2FFWS%20Map%20Templates%20%26%20Elements%2FMap%20Elements

THIS ITEM IS PUBLIC AND READ ONLYThe Water Resources Inventory feature layer is a spatial inventory of miscellaneous point and line water related features on U.S. Fish and Wildlife Service lands. Management Actions and Maintenance related tables are included. This is a national authoritative data layer constructed by the NWRS Geospatial Advisory Committee assets sub-team based on the success of the Region 3 NWRS Water Resources Inventory dataset. This is a read-only, public AGOL View of FWS_Asset_Water_Resources_Inventory. Content can be added/edited by joining the FWS Asset Editing Group if a member of the FWS Organization. This public view only shows records that meet the following criteria:Record Status = "Valid"Public Viewable = "Yes"Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.govU.S. Fish and Wildlife Service Catalog (ServCat) Record - https://ecos.fws.gov/ServCat/Reference/Profile/154161For more information on the data that can be collected, see NWRS GAC FWS Assets sharepoint.

THIS ITEM IS PUBLIC AND READ ONLYThe Water Resources Inventory feature layer is a spatial inventory of miscellaneous point and line water related features on U.S. Fish and Wildlife Service lands. Management Actions and Maintenance related tables are included. This is a national authoritative data layer constructed by the NWRS Geospatial Advisory Committee assets sub-team based on the success of the Region 3 NWRS Water Resources Inventory dataset. This is a read-only, public AGOL View of FWS_Asset_Water_Resources_Inventory. Content can be added/edited by joining the FWS Asset Editing Group if a member of the FWS Organization. This public view only shows records that meet the following criteria:Record Status = "Valid"Public Viewable = "Yes"Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.govU.S. Fish and Wildlife Service Catalog (ServCat) Record - https://ecos.fws.gov/ServCat/Reference/Profile/154161For more information on the data that can be collected, see NWRS GAC FWS Assets sharepoint.

This dataset contains soil type and soil classification, by area.

This dataset is harvested on a weekly basis from Allegheny County’s GIS data portal. The full metadata record for this dataset can also be found on Allegheny County's GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the "Explore button (and choosing the "Go to resource" option) to the right of the "ArcGIS Open Dataset" text below.

Category: Environment

Department: Geographic Information Systems Group; Department of Administrative Services

Development Notes: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.

Related Documents: Data Dictionary for SOIL_CODE, https://www.nrcs.usda.gov/Internet/FSE_MANUSCRIPTS/pennsylvania/PA003/0/legends.pdf (the last page includes the soil legend for this dataset)

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards. This service is managed by the USFS Washington Office Fire and Aviation Management Strategic Analytics Branch and has three components; PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesThis service is filtered to include only those features where FeatureAccess = Public. Additionally, attributes containing Personal Identifying Information (PII) have been removed from this View. No fall-off rules apply to this service. For information on how to contribute or edit data within this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site. Please contact Rick Stratton with any comments or questions.

AT parking locations as found at https://at.govt.nz/driving-parking/find-parking. Parking data sourced from the sharepoint list, https://aucklandtransport.sharepoint.com/sites/projects-msd/Lists/Parking/AllItems.aspx

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards.

This service has three components, PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesFor information on how to contribute data to this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site.

Data is released by the US Census Bureau following a Decennial count that is used in support of compliance with Public Law 94-171 and the Voting Rights Act (VRA). Public Law (P.L.) 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide the redistricting data needed by the fifty states. Within a year following Census Day, the Census Bureau must send the data agreed upon to redraw districts for the state legislature to each state's governor and majority and minority legislative leaders and those state officials legally responsible for statewide redistricting such as commission chairs. Process Doc:pl94171_data_loading_and_processing.docx (sharepoint.com)

This web map is to assist with searching for unique Street Segment IDs on our City of Austin Transportation.street segment feature for entry into our SharePoint Work Load Tracker.

Data is released by the US Census Bureau following a Decennial count that is used in support of compliance with Public Law 94-171 and the Voting Rights Act (VRA). Public Law (P.L.) 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide the redistricting data needed by the fifty states. Within a year following Census Day, the Census Bureau must send the data agreed upon to redraw districts for the state legislature to each state's governor and majority and minority legislative leaders and those state officials legally responsible for statewide redistricting such as commission chairs. Process Doc:pl94171_data_loading_and_processing.docx (sharepoint.com)

A Park and Ride lot point is a point in coordinate space that represents a physical location. This feature layer is based on data extracts from regional coordinators and the Park and Ride Sharepoint webpages.

AFRAA Data Upgrade & Transition Plan for 2025 Fire Season

Given the mission-critical nature of AFRAA dataset and federal mandates, the FS Enterprise Data Warehouse (EDW) and AFRAA data stewards will fully support the legacy map services throughout the 2025 fire season before retirement. The latest 2025 data, approved by Forest Service Regional Forester and GIS Coordinators, has been integrated into legacy schemas, ensuring authoritative data while maintaining backward compatibility for applications relying on legacy endpoints.

What You Need to KnowWhere is the New Data

Most users will use the new map image service REST endpoints:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServer https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServer

Metadata is available in these ArcGIS items that reference the new map services:

Fire_AerialFireRetardantAvoidanceAreas_Aquatic (Landing Page) Fire_AerialFireRetardantAvoidanceAreas_Terrestrial (Landing Page)

Sync Enable ArcGIS Online Hosted Feature Services:

Aquatic Hosted Feature Service Terrestrial Hosted Feature Service

Internal FS users can make direct SDE connections (see detailed instructions on the AFRAA SharePoint ). Downloadable Data from the FS GeoData Clearinghouse:

Fire_AerialFireRetardantAvoidanceAreas_Aquatic.gdb.zip Fire_AerialFireRetardantAvoidanceAreas_Terrestrial.gdb.zip

When Will the Legacy Product Be Retired?

March 14, 2025 – New terrestrial map service available, and a deprecation watermark is added to the legacy service. March 14, 2025 - Region 3 approved 2025 aquatic data via the legacy service endpoint. April 1, 2025 – All 2025 approved data loaded into both new and legacy services. April 1, 2025 – New aquatic service published, and a deprecation watermark is added to the legacy service. April 1, 2025 – Legacy download products removed from the Clearinghouse and replaced with the new versions. April 7, 2025 – Sync enabled Hosted Feature Services published to ArcGIS Online October 1, 2025 – Legacy services stopped. Fire personnel can contact SM.FS.afraa@usda.gov during regular business hours if unknown dependencies are discovered. The services will be restarted if needed. November 1, 2025 – Unless an extension is requested, legacy services will be deleted, and all feature classes will be removed from EDW, making the data inaccessible.

What Products Are Being Deprecated?

Terrestrial Map Services & Associated Feature ClassesLegacy Terrestrial:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_01/MapServerS_USA.AerialFireRetardantAvoidance

New Authoritative Terrestrial:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_Terrestrial

Aquatic Map Services & Associated Feature Classes

Legacy Aquatic:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer

S_R01.AFRAA_Hydro S_R02.AFRAA_Hydro S_R03.AFRAA_Hydro S_R04.AFRAA_Hydro S_R05.AFRAA_Hydro S_R06.AFRAA_Hydro S_R08.AFRAA_Hydro S_R09.AFRAA_Hydro S_R10.AFRAA_Hydro

New Authoritative Aquatic Map Service and Feature Class:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_Aquatic

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards. This service is managed by the USFS Washington Office Fire and Aviation Management Strategic Analytics Branch and has three components; PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesThis service is filtered to include only those features where FeatureAccess = Public. Additionally, attributes containing Personal Identifying Information (PII) have been removed from this View. No fall-off rules apply to this service. For information on how to contribute or edit data within this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site. Please contact Rick Stratton with any comments or questions.

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards.

This service has three components, PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesFor information on how to contribute data to this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site.

SDI (Rodriguez y Silva et al. 2020) factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel. SDI is currently classified into six categories representing low through extreme difficulty. Extreme SDI zones represented in red are “watch out” situations where engagement is likely to be very challenging given the combination of potential high intensity fire behavior and difficult suppression environment (high resistance fuel types, steep terrain, and low accessibility). Low difficulty zones represented in blue indicate areas where some combination of reduced potential for dangerous fire behavior and ideal suppression environment (low resistance fuel types, mellow terrain, and high accessibility) make suppression activities easier. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work. SDI incorporates flame length and heat per unit area from basic FlamMap runs (Finney et al. 2019). SDI is based on fire behavior modeled using regionally appropriate percentile fuel moisture conditions and uphill winds. This product uses the wind blowing uphill option to represent a consistent worst-case scenario. Input fuels data are updated to the most recent fire year using a crosswalk for surface and canopy fuel modifications for fires and fuel treatments that occurred after the most recent LANDFIRE version. For example, LANDFIRE 2016 model inputs are modified to incorporate fires (Monitoring Trends in Burn Severity (MTBS), Geospatial Multi- Agency Coordination (GeoMac), and Wildland Fire Interagency Geospatial Services (WFIGS) and fuel treatments (USFS Forest Activity Tracking System (FACTS) and DOI National Fire Plan Operations and Reporting System (NFPORS) hazardous fuels reduction treatments) from 2017-present. Road and trail inputs are developed from a combination of HERE 2020 Roads, USFS, and DOI road and trails databases. Hand crew and dozer fireline production rates are from FPA 2012 (Dillon et al. 2015). Classification of topography and accessibility thresholds are detailed in Rodriguez et al. (2020). Dillon, G.K.; Menakis, J.; Fay, F. (2015) Wildland Fire Potential: a tool for assessing wildfire risk and fuels management needs. In: Keane, R.E.; Jolly, M.; Parsons, R.; Riley, K., eds. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 p.Finney, M.A.; Brittain, S.; Seli, R.C.; McHugh, C.W.; Gangi, L. (2019) FlamMap:Fire Mapping and Analysis System (Version 6.0) [Software]. Available from https://www.firelab.org/document/flammap-softwareRodriguez y Silva, F.; O'Connor, C.D.; Thompson, M.P.; Molina, J.R.; Calkin, D.E. (2020). Modeling Suppression Difficulty: Current and Future Applications. International Journal of Wildland Fire.More detail on SDI Methods can be found on the RMA Sharepoint Site (RMA Dashboard Analytics --> Suppression Difficulty Index (SDI) folder.

Data is released by the US Census Bureau following a Decennial count that is used in support of compliance with Public Law 94-171 and the Voting Rights Act (VRA). Public Law (P.L.) 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide the redistricting data needed by the fifty states. Within a year following Census Day, the Census Bureau must send the data agreed upon to redraw districts for the state legislature to each state's governor and majority and minority legislative leaders and those state officials legally responsible for statewide redistricting such as commission chairs. Process Doc:pl94171_data_loading_and_processing.docx (sharepoint.com)

Details on wildfire hazard modeling, HVRA mapping, and response functions for the effects analysis can be found in the Risk Assessments folder of the RMA Sharepoint site. The burn probability used for the eNVC calculations is from the forthcoming revision to the Wildfire Risk to Communities project. It was modeled using the Large Fire Simulator (FSim) at 270-m resolution based on 2020 LANDFIRE fuel conditions. The raw FSim results were resampled to 30-m resolution with a smoothing procedure to extend burn probability estimates into areas mapped as non-burnable by LANDFIRE.The eNVC results were binned using half log break points (i.e., 10-2.5, 10-2, 10-1.5, and 10-1) to highlight significant variation in risk. Every other class defines a 10x increase in risk. We include an extra class depicting people and property in urban core and agriculture without impacts assessed due to the lack of nearby burnable pixels in the LANDFIRE fuels data; you should assume these areas have potential for loss if exposed to fire. The following table describes the eNVC values, percent of area, and percent of total eNVC associated with each class.ClassArea %eNVC total %Very high loss (< -0.1)1.564.2High loss (-0.1 to -0.03162)2.615.9Moderate loss (-0.03162 to -0.01)5.310.6Low loss (-0.01 to -0.003162)8.75.6Very low loss (-0.003162 to 0)69.53.8Unquantified impact to people and property in urban core and agriculture12.50.0