1.0 DCPLUS 20251205 15201400 20251205 15201400 https://www.arcgis.com/home/item.html?id=2ccab519a994455ba1249e859d50cb17 2ccab519a994455ba1249e859d50cb17 Feature Service https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/IntelMatrix_current_specs_public/FeatureServer https://www.arcgis.com/sharing/rest/content/items/2ccab519a994455ba1249e859d50cb17/info/thumbnail/thumbnail1764960273188.png IntelMatrix_current_specs_public <span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The USDA Forest Service 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.The Fires Intelligence Matrix is a daily analysis of the current wildfire threats, management considerations, behavior, and environment intended to inform regional and national analysts about ongoing wildfires and provide consistent metrics to facilitate inter-fire comparisons. The Fires Intelligence Matrix is a daily analysis of the current wildfire threats, management considerations, behavior, and environment intended to inform regional and national analysts about ongoing wildfires and provide consistent metrics to facilitate inter-fire comparisons. The Fires Intelligence Matrix relies on authoritative spatial data from the Wildland Fire Interagency Geospatial Services (WFIGS) Group on current wildfire extents (also called “perimeters”) and point locations. Wildfire extents are buffered by 1-, 3-, and 5-mi and then spatially intersected with datasets mapping values at risk, firefighting opportunity and safety indices, wildfire behavior, and fire weather, danger, and climate to create a table (or “matrix”) of the incident-level summary characteristics.See the white paper on the <a target='_blank' href='https://firenet365.sharepoint.com/:f:/s/RiskManagementAssistance/Er97NPc1TlVFkc9NU2G0M4cB8G-ub5-fgqZCQYps33pVRw?e=9SPElO' rel='nofollow ugc noopener noreferrer'>RMA SharePoint</a> for more details. 2ccab519a994455ba1249e859d50cb17 https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/IntelMatrix_current_specs_public/FeatureServer Feature Service 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