Identification_Information: Citation: Citation_Information: Originator: USDA Forest Service Publication_Date: 20060822 Title: Hunter Fire occuring on the Mendocino National Forest - 2006 Geospatial_Data_Presentation_Form: raster digital data Publication_Information: Publication_Place: Sioux Falls, South Dakota USA Publisher: U.S. Geological Survey Online_Linkage: http://edc.usgs.gov Description: Abstract: These data products are derived from Landsat Thematic Mapper data. The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image portrays the variation of burn severity within a fire. The severity ratings are based on the effects to vegetation. The vegetation severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Purpose: These data were created by the USDA Forest Service Remote Sensing Applications Center to support Burned Area Emergency Response (BAER) teams. Supplemental_Information: Fire Name: Hunter Agency: US Forest Service Land Management Unit: Mendocino National Forest Type of assessment: Emergency Fire size (acres) as listed on the Situation Report: 16,296 Pre-Fire Landsat Date/Scene ID: Landsat p45r32; 20040820 Post-Fire Landsat Date/Scene ID: Landsat p45r32; 20060818 Output Dataset Projection: UTM UTM Zone: 10 Spheroid Name: Clarke 1866 Product List: Hunter_20040820_30m_utm.img = Pre-Fire Landsat reflectance at sensor data subset, scaled by 400 and converted to integer(bands 1-5, 7 ERDAS Imagine format) Hunter_20060818_30m_utm.img = Post-Fire Landsat 7 SLC-Off reflectance at sensor data subset, scaled by 400 and converted to integer(bands 1-5, 7 ERDAS Imagine format) Hunter_20060818_barc256_utm.img = 256-class (0-255) continuous image representing fire severity. This dataset is meant to be adjusted if the BARC4 does not provide a good estimate of fire severity. It is anticipated that users will adjust the breakpoints between classes, then recode to their desired 3 or 4 classes. Hunter_20060818_barc4_utm.img = Four category severity classification subset values: 0 = outside perimeter 1 = unchanged / very low 2 = low severity 3 = moderate severity 4 = high severity Time_Period_of_Content: Time_Period_Information: Multiple_Dates/Times: Single_Date/Time: Calendar_Date: 20040820 (pre-fire image) Single_Date/Time: Calendar_Date: 20060818 (post-fire image) Currentness_Reference: ground condition Status: Progress: Evaluation of methods in process Maintenance_and_Update_Frequency: As needed Keywords: Theme: Theme_Keyword_Thesaurus: none Theme_Keyword: Wildland Fire Theme_Keyword: Normalized Burn Ration (NBR) Theme_Keyword: Fire Severity Theme_Keyword: USDA Forest Service Theme_Keyword: Landsat Place: Place_Keyword_Thesaurus: none Place_Keyword: Mendocino National Forest Place_Keyword: Hunter Access_Constraints: FTP data sets are available to any user. Use_Constraints: There are no restrictions on use, except for reasonable and proper acknowledgement of information sources. Data_Set_Credit: USDA Forest Service Native_Data_Set_Environment: ERDAS Imagine, ARCInfo Data_Quality_Information: Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: These data were terrain corrected using a USGS digital elevation model with less than 1/2 pixel RMS error. Lineage: Process_Step: Process_Description: These data products are derived from Landsat Thematic Mapper data. A pre-fire scene and a post-fire scene are analyzed to create a Differenced Normalized Burn Ratio (dNBR) image. The dNBR image portrays the variation of burn severity within the fire. The pre- and post-fire Landsat images are terrain corrected and further processed to convert bands 1-5 and 7 to at-sensor-reflectance. The Normalized Burn Ratio (NBR) is computed for each date of imagery using the following formula: (Band 4 - Band 7) / (Band 4 + Band 7) = NBR The Differenced NBR is computed to determine severity by subtracting the post-fire NBR from the pre-fire NBR: (PreNBR - PostNBR) = dNBR The BARC products are a generalization of the raw dNBR dataset. Both BARC products have been resampled to unsigned 8-bit images and are easily viewed and adjusted within ArcGIS. The classes represented on the BARC products are created with preliminary cutoffs. The preliminary cutoffs derived from field data collected on several fires in the Northern Rockies are as follows: Unchanged: All values less than 100. Low: All values greater than or equal to 100 and less than 269. Moderate: All values greater than or equal to 269 and less than 660. High: All values greater than or equal to 660 General descriptions of the severity classes are below. Calibrated data have the same general meaning for the classes but may allow more distinct definitions of mortality and change in cover. This will be particular to the vegetation type and fire. Unchanged: This means the area after the fire was indistinguishable from pre-fire conditions. This does not always indicate the area did not burn. Low: This severity class represents areas of surface fire with little change in cover and little mortality of the dominant vegetation. Moderate: This severity class is between low and high and means there is a mixture of effects on the dominant vegetation. High: This severity class represents areas where the dominant vegetation has high to complete mortality. Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Vertical_Count: 1 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 10 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: row and column Coordinate_Representation: Abscissa_Resolution: 30.000000 Ordinate_Resolution: 30.000000 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: North American Datum of 1927 Ellipsoid_Name: Clarke 1866 Semi-major_Axis: 6378206.400000 Denominator_of_Flattening_Ratio: 294.978698 Distribution_Information: Resource_Description: Downloadable Data Metadata_Reference_Information: Metadata_Date: 20060822 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: USDA Forest Service, Remote Sensing Applications Center (RSAC) Contact_Person: Jess Clark Contact_Address: Address_Type: 2222 W. 2300 S. City: Salt Lake City State_or_Province: UT Postal_Code: 84119 Contact_Voice_Telephone: 801-975-3769