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				<gco:CharacterString>ISO 19115-3 Geographic Information - Metadata - Part 1: Fundamentals</gco:CharacterString>
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				<gco:CharacterString>These data products are preliminary burn severity assessments derived from Sentinel-2C data. The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for BAER teams whose objective is a soil burn severity assessment.  It is not, however, appropriate in all ecosystems or fires. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity.</gco:CharacterString>
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				<gco:CharacterString>These data were created by the eros to support Burned Area Emergency Response (BAER) teams.</gco:CharacterString>
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								<gco:CharacterString>ISO 19115 Topic Category</gco:CharacterString>
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						<gco:CharacterString>There are no restrictions on use, except for reasonable and proper acknowledgement of information sources and limitations as preliminary/draft data.</gco:CharacterString>
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				<mco:MD_LegalConstraints>
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						<gco:CharacterString>This product is produced from geospatial information prepared by the U.S. Forest Service GTAC. By taking receipt of these files via electronic file transfer methods, you understand that the data may be updated due to the availability of additional data or revision of existing data. Represented features may not be in an accurate geographic location. The U.S. Forest Service GTAC make no expressed or implied warranty, including warranty of merchantability and fitness, with respect to the character, function, or capabilities of the data or their appropriateness for any user's purposes. The U.S. Forest Service GTAC reserves the right to correct, update, modify, or replace this geospatial information without notification.</gco:CharacterString>
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						<gco:CharacterString>Thresholded, preliminary severity estimates (BARC4 and BARC256) are only delivered to BAER teams. Further distribution is at the discretion of the BAER team leader. Pre-imagery, post-imagery, and unthresholded data may be publicly available on https://burnseverity.cr.usgs.gov/products/baer or https://fsapps.nwcg.gov/baer/baer-imagery-support-data-download. Access to pre-imagery and post-imagery may be limited when sensors other than Landsat or other government remote sensing assets are used due to product licensing restrictions.</gco:CharacterString>
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				</mco:MD_LegalConstraints>
			</mri:resourceConstraints>
			<mri:defaultLocale>
				<lan:PT_Locale>
					<lan:language>
						<lan:LanguageCode codeList="http://www.loc.gov/standards/iso639-2/php/code_list.php" codeListValue="eng">eng</lan:LanguageCode>
					</lan:language>
					<lan:country>
						<lan:CountryCode codeList="http://www.iso.org/iso/country_codes/iso_3166_code_lists.htm" codeListValue="US">US</lan:CountryCode>
					</lan:country>
					<lan:characterEncoding>
						<lan:MD_CharacterSetCode codeList="standards.iso.org/19115/-3/lan/1.0/codelists.xml#MD_CharacterSetCode" codeListValue="utf8">utf8</lan:MD_CharacterSetCode>
					</lan:characterEncoding>
				</lan:PT_Locale>
			</mri:defaultLocale>
			<mri:environmentDescription>
				<gco:CharacterString>QGIS and GDAL</gco:CharacterString>
			</mri:environmentDescription>
			<mri:supplementalInformation>
				<gco:CharacterString>The Fire-ID is generated by combining several attributes taken from the fire ignition location and start date. The Fire-ID is constructed from the two letter state abbreviation, the decimal degree latitude and longitude, both carried to the third decimal place without the decimal point (if less than 100 degrees the longitude is padded with a leading '0'), and the start date formatted as YYYYMMDD (e.g., TX2672909780020110102).
Fire Information 
Fire-ID: CA3391712008620260515
Fire Name (if known): SANTA ROSA ISLAND
Date of Fire: May 15, 2026
Type of Assessment: Emergency
Acres within Fire Perimeter: 18395
Pre-Fire Sensor, Date, Scene ID: NA, 2026-04-20, C10SGC20260420_20m
Post-Fire Sensor, Date, Scene ID: Sentinel-2C, 2026-05-30, C10SGC20260530_20m
See https://burnseverity.cr.usgs.gov/products/baer or https://fsapps.nwcg.gov/baer for project information and data access. 
Refer to https://fsapps.nwcg.gov/baer/contact-baer for additional support. </gco:CharacterString>
			</mri:supplementalInformation>
		</mri:MD_DataIdentification>
	</mdb:identificationInfo>
	<mdb:distributionInfo>
		<mrd:MD_Distribution>
			<mrd:distributionFormat>
				<mrd:MD_Format>
					<mrd:formatSpecificationCitation>
						<cit:CI_Citation>
							<cit:title>
								<gco:CharacterString>Digital Data</gco:CharacterString>
							</cit:title>
						</cit:CI_Citation>
					</mrd:formatSpecificationCitation>
				</mrd:MD_Format>
			</mrd:distributionFormat>
			<mrd:distributor>
				<mrd:MD_Distributor>
					<mrd:distributorContact gco:nilReason="missing"/>
					<mrd:distributionOrderProcess>
						<mrd:MD_StandardOrderProcess>
							<mrd:fees>
								<gco:CharacterString>None</gco:CharacterString>
							</mrd:fees>
						</mrd:MD_StandardOrderProcess>
					</mrd:distributionOrderProcess>
					<mrd:distributorFormat>
						<mrd:MD_Format>
							<mrd:formatSpecificationCitation>
								<cit:CI_Citation>
									<cit:title>
										<gco:CharacterString>Digital Data</gco:CharacterString>
									</cit:title>
								</cit:CI_Citation>
							</mrd:formatSpecificationCitation>
						</mrd:MD_Format>
					</mrd:distributorFormat>
				</mrd:MD_Distributor>
			</mrd:distributor>
			<mrd:transferOptions>
				<mrd:MD_DigitalTransferOptions>
					<mrd:onLine>
						<cit:CI_OnlineResource>
							<cit:linkage>
								<gco:CharacterString>https://burnseverity.cr.usgs.gov/products/baer</gco:CharacterString>
							</cit:linkage>
						</cit:CI_OnlineResource>
					</mrd:onLine>
				</mrd:MD_DigitalTransferOptions>
			</mrd:transferOptions>
		</mrd:MD_Distribution>
	</mdb:distributionInfo>
	<mdb:dataQualityInfo>
		<mdq:DQ_DataQuality>
			<mdq:scope>
				<mcc:MD_Scope>
					<mcc:level>
						<mcc:MD_ScopeCode codeList="standards.iso.org/19115/-3/lan/1.0/codelists.xml#MD_ScopeCode" codeListValue="dataset">dataset</mcc:MD_ScopeCode>
					</mcc:level>
				</mcc:MD_Scope>
			</mdq:scope>
			<mdq:report>
				<mdq:DQ_QuantitativeAttributeAccuracy>
					<mdq:measure>
						<mdq:DQ_MeasureReference>
							<mdq:measureDescription>
								<gco:CharacterString>BARC Mapping analysts examine the differenced Normalized Burn Ratio (dNBR) image for each fire in the context of remote sensing spectral data and any ancillary information available to the analyst. dNBR image data for each fire are thresholded into classes representing unburned areas; areas of low, moderate, high burn severities; and areas of increased vegetation response. Analysts follow guidelines established by subject matter experts in order to maintain consistency in discerning burn severity thresholds from fire to fire and minimize subjectivity.</gco:CharacterString>
							</mdq:measureDescription>
						</mdq:DQ_MeasureReference>
					</mdq:measure>
					<mdq:result gco:nilReason="missing"/>
				</mdq:DQ_QuantitativeAttributeAccuracy>
			</mdq:report>
			<mdq:report>
				<mdq:DQ_ConceptualConsistency>
					<mdq:measure>
						<mdq:DQ_MeasureReference>
							<mdq:measureDescription>
								<gco:CharacterString>No tests for logical consistency have been performed on this map layer.</gco:CharacterString>
							</mdq:measureDescription>
						</mdq:DQ_MeasureReference>
					</mdq:measure>
					<mdq:result gco:nilReason="missing"/>
				</mdq:DQ_ConceptualConsistency>
			</mdq:report>
			<mdq:report>
				<mdq:DQ_CompletenessOmission>
					<mdq:measure>
						<mdq:DQ_MeasureReference>
							<mdq:measureDescription>
								<gco:CharacterString>Data completeness reflects the availability of fire occurrence information and/or availability of suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B).</gco:CharacterString>
							</mdq:measureDescription>
						</mdq:DQ_MeasureReference>
					</mdq:measure>
					<mdq:result gco:nilReason="missing"/>
				</mdq:DQ_CompletenessOmission>
			</mdq:report>
			<mdq:report>
				<mdq:DQ_AbsoluteExternalPositionalAccuracy>
					<mdq:measure>
						<mdq:DQ_MeasureReference>
							<mdq:measureDescription>
								<gco:CharacterString>Each image used to create the burn severity assessment (utilizing Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B), was precision terrain-corrected using 3-arc-second digital terrain elevation data, and georegistered using ground control points. This resulted in a root mean square registration error of less than 1 pixel (30 meters).</gco:CharacterString>
							</mdq:measureDescription>
						</mdq:DQ_MeasureReference>
					</mdq:measure>
					<mdq:result gco:nilReason="missing"/>
				</mdq:DQ_AbsoluteExternalPositionalAccuracy>
			</mdq:report>
			<mdq:report>
				<mdq:DQ_AbsoluteExternalPositionalAccuracy>
					<mdq:measure>
						<mdq:DQ_MeasureReference>
							<mdq:measureDescription>
								<gco:CharacterString>N/A</gco:CharacterString>
							</mdq:measureDescription>
						</mdq:DQ_MeasureReference>
					</mdq:measure>
					<mdq:result gco:nilReason="missing"/>
				</mdq:DQ_AbsoluteExternalPositionalAccuracy>
			</mdq:report>
		</mdq:DQ_DataQuality>
	</mdb:dataQualityInfo>
	<mdb:resourceLineage>
		<mrl:LI_Lineage>
			<mrl:scope>
				<mcc:MD_Scope>
					<mcc:level>
						<mcc:MD_ScopeCode codeList="standards.iso.org/19115/-3/lan/1.0/codelists.xml#MD_ScopeCode" codeListValue="dataset">dataset</mcc:MD_ScopeCode>
					</mcc:level>
				</mcc:MD_Scope>
			</mrl:scope>
			<mrl:processStep>
				<mrl:LI_ProcessStep>
					<mrl:description>
						<gco:CharacterString>These data products are derived from Sentinel-2C data. Pre-fire and post-fire scenes 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 images are terrain corrected and further processed to convert top of atmosphere reflectance (band order (1-6): B, G, R, NIR, SWIR-1, SWIR-2). 
                The Normalized Burn Ratio (NBR) is computed for the pre- and post-fire images using the following formula:
                (NIR Band - SWIR Band) / (NIR Band + SWIR Band) = 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, continuous dNBR dataset. Both BARC products have been resampled to unsigned 8-bit GeoTIFF and are easily viewed and edited within ArcGIS.
                The classes represented on the BARC products are created with thresholds chosen by an analyst at EROS.  These thresholds can be roughly related back to original dNBR values by multiplying by 5 and then subtracting 275 (for example, a BARC256 value of 100 would relate to a dNBR value of 225).  The BARC thresholds used on this particular fire are:
                Unburned / Undetectable: All values less than or equal to 84.
                Low: All values greater than 84 and less than or equal to 144.
                Moderate: All values greater than 144 and less than or equal to 208.
                High: All values greater than 208.
                General descriptions of the severity classes are below:
                Unburned / Undetectable: This means the area after the fire was indistinguishable from pre-fire conditions. This does not always indicate the area did not burn (i.e. canopy may be occluding the burn signal).
                Low: This severity class represents areas of surface fire with little detected change in cover and little detected mortality of the dominant vegetation.
                Moderate: This severity class is between low and high and means there is a mixture of detected effects on the dominant vegetation.
                High: This severity class represents areas where the canopy has high to complete consumption.</gco:CharacterString>
					</mrl:description>
				</mrl:LI_ProcessStep>
			</mrl:processStep>
		</mrl:LI_Lineage>
	</mdb:resourceLineage>
	<mdb:metadataMaintenance>
		<mmi:MD_MaintenanceInformation>
			<mmi:maintenanceAndUpdateFrequency>
				<mmi:MD_MaintenanceFrequencyCode codeList="standards.iso.org/19115/-3/lan/1.0/codelists.xml#MD_MaintenanceFrequencyCode" codeListValue="asNeeded">asNeeded</mmi:MD_MaintenanceFrequencyCode>
			</mmi:maintenanceAndUpdateFrequency>
		</mmi:MD_MaintenanceInformation>
	</mdb:metadataMaintenance>
</mdb:MD_Metadata>