Historical Fire Scar Database - 1. Summary

Center for Climate and Resilience Research

datasetViewer.authorsPreview: Alejandro Miranda, et al.

datasetViewer.description

The Landscape Fire Scars Database for Chile makes publicly available for the first time a historical high-resolution (~30 m) burned area and fire severity product for the country. The georeferenced database is a multi-institutional effort containing information on more than 8,000 fires events between July 1984 and June 2018. Using Google Earth Engine (GEE), we reconstructed the fire scar area, perimeter, and severity for each fire. We also provide the Landsat mosaic image of pre- and post-fire events, including the NDVI and NBR indexes. In the related paper, we release the GEE code to reproduce our database or enable the international community to reconstruct another individual burned areas and fire severity data, with minimum input requirements. In the summary file is the list of reconstructed fire events. The identification number (ID) relates the initial information of the wildfires with fire scar and severity data.

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FireIDFireSeasonRegionCodeRegion_CONAFFireName_CONAFArea_CONAF [ha]IgnitionDate_CONAFControlDate_CONAFLatitude [°]Longitude [°]FireScarFolderLocationFireScarImgNamePreFireImgNamePostFireImgNameRdNBRImgNameSeverityImgNameFireScarVectorNameSeverityVectorNameThresholdNorthBoundLatitude [°]SouthBoundLatitude [°]WestBoundLongitude [°]EastBoundLongitude [°]Width [pixels]Height [pixels]TotalArea [m2]AreaUnchS [m2]AreaLowS [m2]AreaModS [m2]AreaHighS [m2]FireScarPolygonsSeverityPolygonsOverlapIDsObservations
ID100001986CL-BIBioBioRAPELCO51.01986-01-041986-01-04-37.671-72.39780nannannannannannannannannannannannannannannannannannannannannannannannan
ID1000002003CL-MLMauleMAITENHUAPI50.02003-02-092003-02-09-35.3283-71.57991FireScar_CL-ML_Maule_2003FireScar_CL-ML_ID100000_u400_20030209.tifImgPreF_CL-ML_ID100000_u400_20030209.tifImgPosF_CL-ML_ID100000_u400_20030209.tifRdNBR_CL-ML_ID100000_u400_20030209.tifSeverity_CL-ML_ID100000_u400_20030209.tifFireScar_CL-ML_ID100000_u400_20030209.shpSeverity_CL-ML_ID100000_u400_20030209.shp400.0-35.3280451785684-35.34044192948925-71.5815347628368-71.571832957768336.046.0427827.1938476560.00.0178748.092346191249079.1015014651.057.0nannan
ID100021986CL-BIBioBioLAs chilcas87.01986-02-031986-02-03-36.6711-71.97081FireScar_CL-BI_BioBio_1986FireScar_CL-BI_ID10002_u500_19860203.tifImgPreF_CL-BI_ID10002_u500_19860203.tifImgPosF_CL-BI_ID10002_u500_19860203.tifRdNBR_CL-BI_ID10002_u500_19860203.tifSeverity_CL-BI_ID10002_u500_19860203.tifFireScar_CL-BI_ID10002_u500_19860203.shpSeverity_CL-BI_ID10002_u500_19860203.shp500.0-36.6577314621221-36.68953182317995-71.9809257381563-71.93241671281382180.0118.03227680.697204590.00.0710373.0723876952517307.6248168916.0423.0nanThe ignition point is located in the current CL-NB region
ID1000272003CL-MLMauleLAS CATALINAS II80.02003-02-152003-02-16-35.5755-72.17251FireScar_CL-ML_Maule_2003FireScar_CL-ML_ID100027_u400_20030215.tifImgPreF_CL-ML_ID100027_u400_20030215.tifImgPosF_CL-ML_ID100027_u400_20030215.tifRdNBR_CL-ML_ID100027_u400_20030215.tifSeverity_CL-ML_ID100027_u400_20030215.tifFireScar_CL-ML_ID100027_u400_20030215.shpSeverity_CL-ML_ID100027_u400_20030215.shp400.0-35.5452578142685-35.5759801969854-72.1728058828442-72.1596006481676449.0114.01155078.043029790.00.0539904.116699219615173.9263305666.0122.0nannan
ID100031986CL-BIBioBioNAHUELTORO 153.01986-02-061986-02-06-36.4938-71.85240nannannannannannannannannannannannannannannannannannannannannannannannan
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ID99981986CL-BIBioBioPUYARAL1045.01986-01-041986-01-05-36.5404-72.21291FireScar_CL-BI_BioBio_1986FireScar_CL-BI_ID9998_u400_19860104.tifImgPreF_CL-BI_ID9998_u400_19860104.tifImgPosF_CL-BI_ID9998_u400_19860104.tifRdNBR_CL-BI_ID9998_u400_19860104.tifSeverity_CL-BI_ID9998_u400_19860104.tifFireScar_CL-BI_ID9998_u400_19860104.shpSeverity_CL-BI_ID9998_u400_19860104.shp400.0-36.4984601622478-36.55855745475542-72.23317266993709-72.16822447489521241.0223.09943560.841186520.00.01911104.738464368032456.102722176.0730.0nanThe ignition point is located in the current CL-NB region
ID999852003CL-MLMauleCUATRO ESQUINAS18.02003-02-062003-02-06-35.894-71.67571FireScar_CL-ML_Maule_2003FireScar_CL-ML_ID99985_u550_20030206.tifImgPreF_CL-ML_ID99985_u550_20030206.tifImgPosF_CL-ML_ID99985_u550_20030206.tifRdNBR_CL-ML_ID99985_u550_20030206.tifSeverity_CL-ML_ID99985_u550_20030206.tifFireScar_CL-ML_ID99985_u550_20030206.shpSeverity_CL-ML_ID99985_u550_20030206.shp550.0-35.89317532380799-35.90341611804696-71.6831342214707-71.6734324164021936.038.0261178.9819335940.00.017460.3349609375243718.6469726562.023.0nannan
ID99991986CL-MLMauleLA REINA40.01986-02-221986-02-22-36.1722-71.72950nannannannannannannannannannannannannannannannannannannannannannannannan
ID999952003CL-MLMauleEL OLVIDO14.02003-02-092003-02-10-35.9472-72.421FireScar_CL-ML_Maule_2003FireScar_CL-ML_ID99995_u350_20030209.tifImgPreF_CL-ML_ID99995_u350_20030209.tifImgPosF_CL-ML_ID99995_u350_20030209.tifRdNBR_CL-ML_ID99995_u350_20030209.tifSeverity_CL-ML_ID99995_u350_20030209.tifFireScar_CL-ML_ID99995_u350_20030209.shpSeverity_CL-ML_ID99995_u350_20030209.shp350.0-35.9470742408552-35.95246413255992-72.4196629229203-72.409961117851836.020.0178127.7740478520.00.0127961.61248779350166.16156005864.030.0nannan
ID999982003CL-MLMauleBALLICA NORTE 320.02003-02-092003-02-09-35.8431-71.531FireScar_CL-ML_Maule_2003FireScar_CL-ML_ID99998_u600_20030209.tifImgPreF_CL-ML_ID99998_u600_20030209.tifImgPosF_CL-ML_ID99998_u600_20030209.tifRdNBR_CL-ML_ID99998_u600_20030209.tifSeverity_CL-ML_ID99998_u600_20030209.tifFireScar_CL-ML_ID99998_u600_20030209.shpSeverity_CL-ML_ID99998_u600_20030209.shp600.0-35.84251034178371-35.85059517934079-71.53464270500571-71.5279053403748225.030.0242417.4388427730.00.03639.9189453125238777.5198974611.06.0nannan

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datasetViewer.spatialCoverageInfo datasetViewer.mapView

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:492F65B350AAF9D1

datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here

```python import pytrend session = pytrend.itrend_developer_tools() session.set_credentials( access_key_id = '', # Type your access_key_id secret_access_key = '' # Type your secret_access_key ) # Dataset dataset_id = 'itrend-ds:492F65B350AAF9D1' #Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: [csv, xlsx, shp, geojson] # Download file response = session.download_file(dataset_id, fmt) ```

datasetViewer.attribution

datasetViewer.attributionMessage1

datasetViewer.attribution1 Center for Climate and Resilience Research, «Historical Fire Scar Database - 1. Summary». datasetViewer.attribution2

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datasetViewer.attribution3 Center for Climate and Resilience Research («Historical Fire Scar Database - 1. Summary»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/492F65B350AAF9D1

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