Alaska Fire Modeling Webinars & Workshops

Presenter: T. Scott Rupp , Peter A. Bieniek , Robert Ziel , Uma S. Bhatt
Publisher: Alaska Fire Science Consortium
Year: 2018

Meeting on Thursday November 29th, 2018 at the Alaska Fire Service on the Alaska Climate Adaption Science Center Wildfire Forecasting. Presenters include: Scott Rupp, Peter Bieniek, Robert (Zeke) Ziel, and Uma Bhatt

Presenter: Randi R. Jandt
Publisher: Alaska Natural Resource and Outdoor Education Association
Year: 2016

Climate Change Implications for Wildfire in Alaska presented by Randi Jandt. This webinar was part of a series hosted by the Alaska Natural Resource and Outdoor Education (ANROE) Association titled "Fire in a Changing Climate for Educators." ANROE...

Presenter: Alyssa V. Shanks Rodrigues
Publisher: Alaska Fire Science Consortium
Year: 2016

An overview of a project supported by the Bureau of Land Management, which is seeking input from community residents about what they know now and what they want to know about how wildfires may affect them. Presented at the Alaska Fire Science...

Publisher: Alaska Fire Science Consortium
Year: 2016

Presented at the 2016 Spring Alaska Fire Science Workshop. Weather information, surface observations and forecasts, is among the most widely viewed topics on the web. It is the one way that the history, current setting, and forecast fire potential can...

Presenter: Eric A. Miller
Publisher: Scenarios Network for Alaska and Arctic Planning (SNAP)
Year: 2016

Summary: Why does the feathermoss fuel bed fit so poorly into fire behavior and fire danger rating systems? What do we know or think we know? This presentation will explore the feathermoss fuel bed in the context of poikilohydry in bryophytes, hydro-/...

Presenter: Robert Ziel
Publisher: Scenarios Network for Alaska and Arctic Planning (SNAP)
Year: 2016

With updates to the National Fire Danger Rating System (NFDRS) to be implemented over the next two years, fire managers in Alaska and the Lake States need to learn about the most important revisions. Changes to fine fuel moistures estimates in the US...

Presenter: Tom St. Clair
Publisher: Scenarios Network for Alaska and Arctic Planning (SNAP)
Year: 2016

At what thresholds do old burn scars become available to burn again? Exploring the idea that satellite heat detects can be correlated to the Fire Weather Indices and large fire perimeters. Of 54,673 VIIRS heat detects in 2015, 11% were in areas burned...

Presenter: Peter Butteri , K. T. Pyne
Publisher: Alaska Fire Science Consortium
Year: 2015

This training webinar was presented by Peter Butteri (US Fish and Wildlife Service/Bureau of Land Management-Alaska Fire Service) and KT Pyne (Alaska Division of Forestry, Strategic Planner), and Co-organized by the Fire Modeling and Analysis...

Presenter: Lisa B. Saperstein , Brian Sorbel , Robert Ziel
Publisher: Alaska Fire Science Consortium
Year: 2014

The Webinar on March 5, 2014 was organized by the Alaska Fire Modeling Applications Committee and hosted by Alaska Fire Science Consortium. Three fire analysts discuss the good, the bad and the ugly from their experiences modeling several Alaska fires...

Presenter: Sarah F. Trainor
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: Lisa B. Saperstein
Publisher: Alaska Fire Science Consortium
Year: 2014

This webinar explores a current effort to use the Interagency Fuel Treatment Decision Support System (IFTDSS) in Alaska for fuel treatment planning on or adjacent to the Kenai National Wildlife Refuge. In addition, IFTDSS was also used to assess the...

Presenter: Sharon Alden
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2014

The following process can be used for drying duff, foliar, woody, and herbaceous fuel moisture samples along with entering data and calculating moisture content and the CFFDRS Indices.

The following process can be used for drying duff, foliar, woody, and herbaceous fuel moisture samples along with entering data and calculating moisture content and the CFFDRS Indices.

Presenter: Lisa B. Saperstein
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: Joe Little , Randi R. Jandt , Stacy A. Drury , Nathan Lojewski , Will E. Putman
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: K. T. Pyne , Robert Ziel
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: Alison D. York
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: Jennifer L. Hrobak
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at the 2014 CFFDRS in Alaska Summit held October 28-30 in Fairbanks.

Presenter: Randi R. Jandt
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at 2014 Fall Alaska Fire Science Workshop

Presenter: Chelene C. Krezek-Hanes , Timothy J. Lynham , Kato Howard
Publisher: Alaska Fire Science Consortium
Year: 2014

Presented at the 2014 CFFDRS in Alaska Summit

Presenter: Mitch Burgard , Jennifer L. Barnes , Tom St. Clair
Publisher: Alaska Fire Science Consortium
Year: 2013

This webinar is targeted towards those doing fire analyses in WFDSS (Wildland Fire Decision Support System--http://wfdss.usgs.gov/) or those with an interest in doing them in the future. Mitch Burgard, Wildland...

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Data sheet for field fuel moisture sampling in Alaska.

Data sheet for field fuel moisture sampling in Alaska.

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

This method has been modified from the Fuel Moisture Sampling in Boreal Forest Duff manual (by Brenda Wilmore) for field use. For more information on volumetric or TDR (time domain reflectometry) probe sampling procedures, please refer to the full...

This method has been modified from the Fuel Moisture Sampling in Boreal Forest Duff manual (by Brenda Wilmore) for field use. For more information on volumetric or TDR (time domain reflectometry) probe sampling procedures, please refer to the full sampling manual.

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

The methods below are generally based on R.A. Norum and M. Miller, 1984. Measuring Fuel Moisture Content in Alaska: Standard Methods and Procedures. USFS General Technical Report PNW-171. See also Fuel Moisture Collection Methods 2011,...

The methods below are generally based on R.A. Norum and M. Miller, 1984. Measuring Fuel Moisture Content in Alaska: Standard Methods and Procedures. USFS General Technical Report PNW-171.

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Fuel moisture data entry spreadsheet for use in Alaska.

Fuel moisture data entry spreadsheet for use in Alaska.

Presenter: Paul A. Duffy
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Publisher: Alaska Fire Science Consortium
Year: 2013

In 2012 the AWFCG Fire Modeling and Analysis Committee (FMAC) identified the need to determine live fuel moisture contents as these are direct inputs into fire behavior modeling software currently being used in Alaska (e.g. WFDSS FSPro, Short-Term-...

Part of the interagency Alaska Fuel Moisture Sampling Workshops in May 2012 and 2013 held by FRDAC, in partnership with the Alaska Fire Science Consortium (AFSC), to train fire staff on fuel moisture sampling. This power point provides an overview of techniques for fuel moisture sampling.

Presenter: Kalin A. K. Seaton
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Presenter: Sharon Alden
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Publisher: AWFCG Fire Research Development and Application Committee and Alaska Fire Science Consortium
Year: 2013

Grass is a prominent fuel type with fire behavior distinct from other carrier fuels, burning quickly and with sometimes surprising intensity. At its most specific level grass-like fuels include not just grass but also sedges and, more uncommonly,...

Sampling guide for the moisture content of dead grass-like plants in Alaska.

Presenter: Jeff Hermanns
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Presenter: Jan Passek , Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Presenter: Jan Passek
Publisher: Alaska Fire Science Consortium
Year: 2013

Presented at the 2013 Spring Fire Management Officer/Agency Administrator Meeting, Alaska Fire Service Training Rooms, Fairbanks

Publisher: Alaska Fire Science Consortium
Year: 2013

In 2012 the AWFCG Fire Modeling and Analysis Committee (FMAC) identified the need to determine live fuel moisture contents as these are direct inputs into fire behavior modeling software currently being used in Alaska (e.g. WFDSS FSPro, Short-Term-...

Part of the interagency Alaska Fuel Moisture Sampling Workshops in May 2012 and 2013 held by FRDAC, in partnership with the Alaska Fire Science Consortium (AFSC), to train fire staff on fuel moisture sampling. This power point provides an introduction to fuel mositure sampling.

Presenter: Ben Pratt
Publisher: Alaska Fire Science Consortium
Year: 2012

A discussion about the calibration of fire models is presented by Ben Pratt.

Year: 2012

FSPro (Fire Spread Probability) is a fire modeling system that calculates the probability of fire spread from a fire perimeter or ignition point for a specified time period. Combining landscape data layers (crown base height, crown bulk density, etc...

FSPro (Fire Spread Probability) is a fire modeling system that calculates the probability of fire spread from a fire perimeter or ignition point for a specified time period. This document is intended to be a user's guide for FSPro analysis in Alaska. It is not intended to be a cookbook of ingredients to be added to FSPro but rather, a starting point for analysis. This summary includes working guidelines and calibration techniques used in Alaska from 2008 through 2011 along with information gathered from the Help Menu in WFDSS, materials from S-495, documents written by analysts for Alaska, and published papers.

Year: 2011

Development of appropriate management strategies for escaped wildland fires is complex. Fire managers need the ability to identify, in real time, the likelihood that wildfire will affect valuable developed and natural resources (e.g., private...

Presenter: Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2011

A discussion of landscape edits specific to Alaska using the fire models.

Year: 2011

Summary of Fire Modeling Meeting held in Alaska on July 18, 2011.

Presenter: Jim Smith
Publisher: The Nature Conservancy, Southern Rockies Fire Science Network
Year: 2011

This webinar discusses different aspects of LANDFIRE including: 1) the current suite of products, 2) plans for improvement and updating, 3) application ideas, and 4) how you can participate. After watching this presentation you should have a better...

Publisher: National Interagency Fuels Technology Team (NIFTT)
Year: 2011

The LANDFIRE Data Access Tool is an ArcGIS toolbar that allows users to interact with the USGS National Map and download LANDFIRE data directly from ArcMap. Once the data are downloaded, it can automatically process the data into raster formats ready...

Presenter: Frank Fay , Henry V. Bastian , Kurtis J. Nelson , Jeff Natharius , Birgit Peterson , Brenda Lundberg , Gregory K. Dillon , Donald G. Long , Matthew G. Rollins , Matt C. Reeves , Tobin Smail , Laurie L. Kurth , Donald Ohlen , Charley Martin , Jim Smith , Jim Napoli , Brian Sorbel , Marsha Henderson
Publisher: Alaska Fire Science Consortium
Year: 2011

This two part webinar series focused on LANDFIRE National products that are currently available to Alaska. The scope and schedule of the LANDFIRE Refresh project will also be briefly discussed along with many other interesting topics. Part 1 of the...

This two part webinar series focused on LANDFIRE National products that were currently available to Alaska. The scope and schedule of the LANDFIRE Refresh project was also discussed along with many other interesting topics. The webinar videos are broken in two segments.

Year: 2011

LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction...

Presenter: Jeffrey L. Jones
Year: 2011

This mediasite video presentation given by Jeff Jones (US Forest Service, RMRS WFM RD&A) goes into detail about the National Interagency Fuels, Fire, and Vegetation Technology Transfer (NIFTT) team. He works with LANDFIRE, mainly focusing on...

Publisher: US Forest Service, Fire and Environmental Research Applications (FERA) Team
Year: 2011

Fuelbeds vary widely in their physical attributes, potential fire behavior, and fire effects. As models that predict fire behavior, fire effects, and carbon cycling become more sophisticated and widely used, there is an increasing need to accurately...

Publisher: US Forest Service, Rocky Mountain Research Station
Year: 2011

The National Tree-List Layer (NTLL) project used LANDFIRE map products to produce the first national tree-list map layer that represents tree populations at stand and regional levels. Simulated tree mortality estimates using the NTLL as model input...

Presenter: Tom St. Clair
Publisher: Alaska Fire Science Consortium
Year: 2011

This webinar was facilitated by Tom St. Clair, Fairbanks, Alaska, and focused on WFDSS modeling and weather. The agenda items covered included: how to pick RAWS to get the best data for wind and fuels, using predicted weather, ERC classes tab in WFDSS...