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5 results for “fire perimeter”
Gaviota Fire Perimeter (Santa Barbara County, CA), June 9, 2004 - From Geospatial Multi-Agency Coordination Group (GeoMAC)
The Gaviota Fire burned from 2004-06-05 to 2004-06-12, 15 miles west of Santa Barbara, Santa Barbara County. Approximately 7440 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2004-06-09, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
Tea Fire Perimeter (Santa Barbara County, CA), November 15, 2008 - From Geospatial Multi-Agency Coordination Group (GeoMAC)
The Tea Fire burned from 2008-11-13 to 2008-11-17, Montecito, Cold Springs Creek and Hot Springs Road, Santa Barbara County. Approximately 1940 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2008-11-15, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
Jesusita Fire Perimeter (Santa Barbara County, CA), May 10, 2009 - From Geospatial Multi-Agency Coordination Group (GeoMAC)
The Jesusita Fire burned from 2008-05-05 to 2008-05-18, Northwest of Mission Canyon and Santa Barbara City, Santa Barbara County. Approximately 8733 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2008-05-10, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
Ukraine Fire Perimeters 2022
<p>The data set contains the fire perimeters for Ukraine for 2022 sourced from remote sensing data. The locations and dates of burning were detected using MODIS/VIIRS products on thermal anomalies. This information was used to select pre- and post-fire Copernicus Sentinel 2 L2A imagery. Satellite images were screened from clouds, cloud shadows and combined into median composite mosaics. The image mosaics were created using all available imagery within a 14-day time window before (pre-fire mosaic) and after (post-fire mosaic) each fire. Fire perimeters were visually delineated by comparing post and pre-fire image mosaics using a SWIR2–NIR–Red band combination. The spatial accuracy of fire perimeters corresponds to Sentinel 2 data at 20-m spatial resolution.</p> <p>Delineated fire perimeters were intersected with the Copernicus Dynamic Land Cover map at 100 m resolution (v.3.0.1) to extract burned areas of five land cover classes according to the following reclassification scheme of the original pixel values.</p> <table> <tbody> <tr> <td> <p><strong>Land cover class</strong></p> </td> <td> <p><strong>Original pixel values</strong></p> </td> </tr> <tr> <td> <p>Coniferous forest (LC_1)</p> </td> <td> <p>111</p> </td> </tr> <tr> <td> <p>Broadleaved forest (LC_2)</p> </td> <td> <p>112,113,114,115,116</p> </td> </tr> <tr> <td> <p>Other natural landscape (LC_3)</p> </td> <td> <p>121,124,125,126, 20,30,60,90</p> </td> </tr> <tr> <td> <p>Agricultural land (LC_4)</p> </td> <td> <p>40</p> </td> </tr> <tr> <td> <p>Settlement (LC_5)</p> </td> <td> <p>50</p> </td> </tr> </tbody> </table> <p><strong>MetaData</strong></p> <table> <tbody> <tr> <td> <p>Field name</p> </td> <td>Description</td> </tr> <tr> <td>id</td> <td>Unique identifier of each fire perimeter</td> </tr> <tr> <td>longitude</td> <td>Longitude referring to centroids of fire perimeters</td> </tr> <tr> <td>latitude</td> <td>Latitude referring to centroids of fire perimeters</td> </tr> <tr> <td>date</td> <td>Date of burning in the format DD.MM.YYYY</td> </tr> <tr> <td>year</td> <td>Year</td> </tr> <tr> <td>month</td> <td>Month</td> </tr> <tr> <td>day</td> <td>Day of the month</td> </tr> <tr> <td>week</td> <td>Week number in the year</td> </tr> <tr> <td>reg</td> <td>The capital city name of the Ukrainian regions (oblast) associated with each fire</td> </tr> <tr> <td>occupied</td> <td>A binary indicator variable referring to the locations of each fire within the Russian-occupied territory (1) or within the territory controlled by the Government of Ukraine (0) for a given date</td> </tr> <tr> <td>buff_30km</td> <td>A binary indicator variable referring to the location of each fire within a 30-km buffer zone on both sides of the front line. In contrast to a daily progression front line used to detect "occupied" territory, the buffer was calculated using the farthest position of a frontline towards territories controlled by the Government of Ukraine</td> </tr> <tr> <td>emerald</td> <td>A binary indicator variable referring to locations of each fire within the Emerald network</td> </tr> </tbody> </table> <p> Burned areas by land cover (LC) type (in hectares) within the fire perimeter according to the Copernicus Dynamic Land Cover map at 100 m resolution (v.3.0.1)</p> <table> <tbody> <tr> <td>LC_0</td> <td>N/A</td> </tr> <tr> <td>LC_1</td> <td>Coniferous forest</td> </tr> <tr> <td>LC_2</td> <td>Broadleaved forest </td> </tr> <tr> <td>LC_3</td> <td>Other natural landscape</td> </tr> <tr> <td>LC_4</td> <td>Agricultural land </td> </tr> <tr> <td>LC_5</td> <td>Settlement</td> </tr> </tbody> </table>
Gap Fire Perimeter (Santa Barbara County, CA), July 9, 2008 - From Geospatial Multi-Agency Coordination Group (GeoMAC)
The Gap Fire burned from 2008-07-01 to 2008-07-28, Lizard's Mouth area of Los Padres National Forest, Santa Barbara County. Approximately 9544 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2008-07-09, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
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