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Nov/Dec 2020: Improvements to LFRDB; Insights on Island landscapes; Predicting high severity fires; Modeling the effect of accelerated forest management
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The crisp autumn air surrounds the beautiful vista at a snow capped Maroon Bells lake in Colorado.
At some point in life the world's beauty becomes enough. You don't need to photograph, paint, or even remember it. It is enough. - Toni Morrison

The LANDFIRE Team wishes you and your family a healthy, peaceful and joyous holiday season. We will see you in the new year!
 
Picture: © Michael Mosure/TNC Photo Contest 2019 | The crisp autumn air surrounds the beautiful vista at a snow capped Maroon Bells lake in Colorado.
Beginning January 15, 2021, LANDFIRE mosaic downloads will only be provided in GeoTiff format for LF 2016 Remap and future versions. Data in ESRI Grid format will still be available through the Data Distribution Site (DDS).
LANDFIRE 2016 Remap: Improvements to the Reference Database 

existing vegetation layer (zoomed in on midwest)The LANDFIRE 2016 Remap (LF Remap) Reference Database (LFRDB) has new data contributors, many more plots including the 1 million plots milestone, and an increased spread of plots throughout CONUS. The LFRDB for LF Remap has an updated Auto-Key Program that bolsters the accuracy of plot labeling and provides for more specific classifications.
LANDFIRE Remap for Hawaii: INsight on Island Landscapes. "Fires in Hawaii don't follow the rules of their continental counterparts..."
 
Where and when are high severity fires more likely to occur? Predicting severe fire potential across the U.S. with the FIRESEV project
December 9, 2020 | 11 am (PT)
Greg Dillon, Spatial Fire Analyst, U.S. Forest Service
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Burn severity is the ecological change resulting from wildland fires. Areas burned with high severity are of concern to land managers and others because postfire vegetation, soil, and other important ecosystem components can be highly altered. Using satellite-derived maps of burn severity for almost 12,000 fires, researchers at the US Forest Service, Rocky Mountain Research Station developed statistical models to describe the spatial distribution of high-severity fire and produce a predictive map of severe fire potential for the contiguous United States. In this webinar, hear about methods used in this study and how the results and data products can be useful to scientists and land managers.
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Did you know that the raster attribute table is included in the LF product download in a database file (DBF) format?

Why is the DBF important?


The attribute tables for LF products are served in a database file (DBF) format. These tables provide information pertaining to the grid class value along with class descriptions or labels for these values. Attribute tables, such as the Existing Vegetation Type, provide additional attribute fields that can provide crosswalk links to other classification themes. Color mapping fields are also provided within the attribute tables, providing a standardized, consistent LF color mapping schema for these products.

The DBF format can be easily converted to other formats to meet user needs. The attribute tables are provided as a convenience as calculations with grid data will automatically drop attributes. For example, if a grid is clipped, the rowID, value, and count are the only attributes retained. Attribute fields can be reattached to the grid using a join attribute function having the "value" attribute as the link.
Alan A. Ager, Barros, Ana M.G., Houtman, Rachel, Seli, Rob, Day, Michelle A. 2020. Modelling the effect of accelerated forest management on long-term wildfire activity. Ecological Modeling. 421: 108962.

Forest landscape models (FLMs) model forest growth, succession, management and disturbances at large scales. Modeling the long-term dynamics between management and disturbances informs managers as they prepare for various disturbance scenarios and forest impacts from a changing climate. The authors conducted this study in the Deschutes National Forest in central Oregon where they used a new FLM to model wildfire (50 years into the future) using different management scenarios. This work was done using a forest growth and management model, the Forest Vegetation Simulator. They simulated different spatial investment priorities and levels of management intensities and measured the response in terms of area burned, fire severity, wildland-urban interface exposure and timber production. LANDFIRE products were used to build and refine the models. Model results suggest that "...the "backlog of areas in need of restoration could be eliminated in 20 years when the treatment rate was elevated to a maximum of 3 x the current level." While tripling the pace of forest management may seem like a grueling speed for conducting this work, this paper provides insight into the potential for aggressive forest management to have lasting forest health benefits when used at scale. | Read the full paper
. Example of treatment locations at simulation year five for one replicate and nine scenarios. See Table 2 for scenario descriptions.


Fig. 4. Example of treatment locations at simulation year five for one replicate and nine scenarios. See Table 2 for scenario descriptions
5. A sample of realized treatment locations symbolized by simulation year in blue based on the distance to wildland urban interface (DISTWUI) treatment priority for the first 40 years (for interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article)
Fig. 5. A sample of realized treatment locations symbolized by simulation year in blue based on the distance to wildland urban interface (DISTWUI) treatment priority for the first 40 years (for interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article).
Henry Bastian
DOI Business Lead
Frank Fay
USFS Business Lead
Tim Hatten
USGS Project Manager
Jim Smith
TNC-LF Project Lead
Inga La Puma
LF Technical Lead

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The LANDFIRE Program is a cooperative agreement between the USDA Forest Service, agencies of the Department of the Interior, and The Nature Conservancy. In accordance with Federal law and U.S. Department of Agriculture policy, the Program is prohibited from discriminating on the basis of race, color, national origin, sex, age, or disability.