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<CreaDate>20260601</CreaDate>
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<idPurp>The purpose of Suppression Difficulty Index (SDI) is to map the relative difficulty of performing fire control work for large fire containment strategy development, incident prioritization, and other broad scale fire and fuels management planning tasks. Data users are encouraged to access the methods report for more details.</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Suppression Difficulty Index (SDI) is an expert-based model of how potential fire behavior and operational factors combine to influence suppression difficulty across broad landscapes (Rodríguez y Silva et al. 2020). The formulation for SDI is premised on the concept that fire behavior acts as a driving force in the numerator and conditions that facilitate suppression act as resisting forces in the denominator. The numerator, also called the energy behavior index (Ice), grows in response to conditions that increase fire behavior, so SDI will increase where and when fuel, topography, and weather conditions promote extreme fire behaviors. The denominator sums the values for sub-indices representing how accessibility (Ia), penetrability (Ip), and fireline creation (Ic) influence suppression opportunities across the landscape. Higher values for sub-indices in the denominator indicate better conditions for suppression, which lowers SDI for a given energy behavior index value in the numerator. The United States implementation of SDI includes an additional slope factor to reflect that working in steep environments is difficult regardless of the fire behavior and other operational factors. This edition of SDI was modeled using 2026 capable fuels data. The flame length and heat per unit area inputs to SDI were modeled for typical large wildfire conditions in Alaska (Fuel moistures of 1-hr: 6%, 10-hr: 7%, 100-hr: 8%, Herbaceous: 85%, Woody: 100%; Wind speeds of 15-mph @ 20-ft in the uphill direction; Finney crown fire initiation model). See the full methods report for more details.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCitation>
<resTitle>USFS_EDW_SAB_WildfireSuppressionDifficultyIndexAK</resTitle>
<citRespParty>
<rpIndName>Richard Stratton</rpIndName>
<rpOrgName>USDA Forest Service, Fire and Aviation Managemnt</rpOrgName>
<rpPosName>Strategic Analytics Branch</rpPosName>
<role>
<RoleCd value="007">
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<cntAddress addressType="postal">
<delPoint>201 14th St SW</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20024</postCode>
<eMailAdd>richard.stratton@usda.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</citRespParty>
<otherCitDet>Methodology_Description:
SDI was modeled using the methods described in "Modelling suppression difficulty: current and future applications" (Rodriguez y Silva et al. 2020).
Methodology_Citation:
Citation_Information:
Originator: Francisco Rodriguez y Silva
Originator: Christopher D. O'Connor
Originator: Matthew P. Thompson
Originator: Juan Ramon Molina Martinez
Originator: David E. Calkin
Publication_Date: 2020
Title:
Modelling suppression difficulty: current and future applications
Geospatial_Data_Presentation_Form: journal article
Publication_Information:
Publication_Place: Australia
Publisher: International Journal of Wildland Fire
Other_Citation_Details:
Rodriguez y Silva, Francisco; O'Connor, Christopher D.; Thompson, Matthew P.; Martinez, Juan R.M.; Calkin, David E. 2020. Modelling suppression difficulty: current and future applications. International Journal of Wildland Fire 29(8), 752. DOI:10.1071/WF19042
Online_Linkage: https://connectsci.au/wf/article/29/8/752/93032/Corrigendum-to-Modelling-suppression-difficulty
Source_Information:
Source_Citation:
Citation_Information:
Originator: LANDFIRE
Publication_Date: 2025
Title:
LANDFIRE fuels and topography
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: United States Department of Agriculture and Department of Interior
Other_Citation_Details:
LANDFIRE. 2025. LANDFIRE: fuels and topography. U.S. Department of Agriculture and U.S. Department of the Interior.
Online_Linkage: https://landfire.gov/
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2025
Source_Currentness_Reference:
Ground Condition
Source_Citation_Abbreviation:
LANDFIRE fuels and topography
Process_Step:
Process_Description:
Model potential flame lengths and heat per unit area with the FlamMap software basic fire behavior module.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate the energy behavior index (Ice) based on potential flame length and heat per unit area.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate accessibility sub-index (Ia) based on distance from the nearest major road.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate penetrability sub-index (Ip) based on slope, fire behavior fuel model, and the density of trails and minor roads.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate fireline creation sub-index (Ic) based on slope and fire behavior fuel model.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate slope adjustment factor.
Process_Date: Unknown
Process_Step:
Process_Description:
Calculate SDI as Ice/(Ia + Ip + Ic).
Process_Date: Unknown
Process_Step:
Process_Description:
Set SDI to zero in water.
Process_Date: Unknown
Process_Step:
Process_Description:
Add slope adjustment factor unless a road or trail.
Process_Date: Unknown</otherCitDet>
</idCitation>
<searchKeys>
<keyword>Alaska</keyword>
<keyword>AK</keyword>
<keyword>Wildfire Suppression Difficulty Index</keyword>
<keyword>Wildfire</keyword>
<keyword>SDI</keyword>
<keyword>IIPP</keyword>
<keyword>USFS</keyword>
<keyword>Forest Service</keyword>
<keyword>Interdepartmental Imagery Publication Platform</keyword>
</searchKeys>
<themeKeys>
<keyword>Wildfire, SDI, Wildfire Suppression,</keyword>
</themeKeys>
<placeKeys>
<keyword>Alaska, AK,</keyword>
</placeKeys>
<idCredit>USDA Forest Service, Fire and Aviation Management, Strategic Analytics Branch.
USDA Forest Service. 2026. Alaska Suppression Difficulty Index (SDI), version 2026. USDA Forest Service National Office, Fire and Aviation Management, Strategic Analytics Branch, Washington DC.</idCredit>
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<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The USDA makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
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<tempKeys>
<keyword>2026</keyword>
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<dataLang>
<languageCode value="eng">
</languageCode>
</dataLang>
<dataChar>
<CharSetCd value="004">
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<SpatRepTypCd value="002">
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<dataScale>
<scaleDist>
<value uom="m">30</value>
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<dataExt>
<exDesc>Alaska</exDesc>
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<mdDateSt Sync="TRUE">20260602</mdDateSt>
<mdChar>
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<mdContact>
<rpIndName>Benjamin Gannon</rpIndName>
<rpOrgName>USDA Forest Service, Fire and Aviation Management</rpOrgName>
<rpPosName>Spatial Fire Analyst</rpPosName>
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<RoleCd value="007">
</RoleCd>
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<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>201 14th St SW</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20024</postCode>
<eMailAdd>Benjamin.Gannon@usda.gov</eMailAdd>
</cntAddress>
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<dqScope>
<scpLvl>
<ScopeCd value="001">
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<scpLvlDesc>
<datasetSet>SDI is a relative metric of the difficulty of performing fire control work. SDI accuracy depends on the accuracy of source datasets for fuels, topography, roads, and trails, and the accuracy of the expert opinions used to formulate the model.</datasetSet>
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