FireCube: A Daily Datacube for the Modeling and Analysis of Wildfires in Greece

<p><strong>dataset_greece.nc</strong></p> <p><strong>This dataset is meant to be used to develop models for next-day fire hazard forecasting in Greece. It contains the following variables for the years 2009 to 2021 at a daily 1km x 1km grid.</strong><br> &nbsp;</p> <table> <thead> <tr> <th scope="col"><strong>Variable</strong></th> <th scope="col"><strong>Units</strong></th> <th scope="col"><strong>Long Name</strong></th> <th scope="col"><strong>Description</strong></th> </tr> </thead> <tbody> <tr> <td>avg_d2m</td> <td>K</td> <td>Avg 2 metre dewpoint temperature</td> <td>Daily Average 2 metre dewpoint temperature ERA5-Land</td> </tr> <tr> <td>avg_rh</td> <td>%</td> <td>Avg Relative humidity</td> <td>Daily Average Relative humidity calculated from t2m and d2m</td> </tr> <tr> <td>avg_sp</td> <td>Pa</td> <td>Avg Surface pressure</td> <td>Daily Average Surface pressure ERA5-Land</td> </tr> <tr> <td>avg_t2m</td> <td>K</td> <td>Avg 2 metre temperature</td> <td>Daily Average 2 metre temperature ERA5-Land</td> </tr> <tr> <td>avg_tp</td> <td>m</td> <td>Avg total precipitation</td> <td>Daily Average Total precipitation ERA5-Land</td> </tr> <tr> <td>avg_u10</td> <td>m/s</td> <td>Avg 10 metre U wind component</td> <td>Daily Average 10 metre U wind component ERA5-Land</td> </tr> <tr> <td>avg_v10</td> <td>m/s</td> <td>Avg 10 metre V wind component</td> <td>Daily Average 10 metre V wind component ERA5-Land</td> </tr> <tr> <td>burned_areas</td> <td>unitless</td> <td>Rasterized burned polygons</td> <td>EFFIS (https://effis.jrc.ec.europa.eu/) burned areas burned as raster (value 1). Starting date retrieved with intersection with MODIS active fires</td> </tr> <tr> <td>et</td> <td>kg/m^2/8day</td> <td>8-day Evapotranspiration</td> <td>Total Evapotranspiration - MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500 m SIN Grid (MOD16A2)</td> </tr> <tr> <td>evi</td> <td>unitless</td> <td>16-day EVI</td> <td>Enhanced vegetation index - MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid (MOD13A2)</td> </tr> <tr> <td>fapar</td> <td>%</td> <td>Fraction of Absorbed Photosynthetically Active Radiation</td> <td>FPAR - MOD15A2H MODIS/Terra Gridded 500M (8-day composite)</td> </tr> <tr> <td>fwi</td> <td>unitless</td> <td>Fire Weather Index</td> <td>Fire Weather Index 0.25 deg - https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-fire-historical?tab=overview</td> </tr> <tr> <td>ignition_points</td> <td>unitless</td> <td>Rasterized ignition points</td> <td>Ignition points burned as raster (value 1) on the map calculated from intersection of MODIS active fires and EFFIS (https://effis.jrc.ec.europa.eu/) burned areas</td> </tr> <tr> <td>lai</td> <td>unitless</td> <td>Leaf Area Index</td> <td>Leaf Area Index (LAI) - MOD15A2H MODIS/Terra Gridded 500M Leaf Area Index LAI (8-day composite)</td> </tr> <tr> <td>lst_day</td> <td>K</td> <td>Day Land Surface Temperature</td> <td>Day Land Surface Temperature (LST) - MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid (MOD11A1)</td> </tr> <tr> <td>lst_night</td> <td>K</td> <td>Night Land Surface Temperature</td> <td>Night Land Surface Temperature (LST) - MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid (MOD11A1)</td> </tr> <tr> <td>max_d2m</td> <td>K</td> <td>Max 2 metre dewpoint temperature</td> <td>Daily Maximum 2 metre dewpoint temperature ERA5-Land</td> </tr> <tr> <td>max_rh</td> <td>%</td> <td>Max Relative humidity</td> <td>Daily Maximum Relative humidity calculated from t2m and d2m</td> </tr> <tr> <td>max_sp</td> <td>Pa</td> <td>Max Surface pressure</td> <td>Daily Maximum Surface pressure ERA5-Land</td> </tr> <tr> <td>max_t2m</td> <td>K</td> <td>Max 2 metre temperature</td> <td>Daily Maximum 2 metre temperature ERA5-Land</td> </tr> <tr> <td>max_tp</td> <td>m</td> <td>Max Total precipitation</td> <td>Daily Maximum Total precipitation ERA5-Land</td> </tr> <tr> <td>max_u10</td> <td>m/s</td> <td>Max 10 metre U wind component</td> <td>Daily Maximum 10 metre U wind component ERA5-Land</td> </tr> <tr> <td>max_v10</td> <td>m/s</td> <td>Max 10 metre V wind component</td> <td>Daily Maximum&nbsp; 10 metre V wind component ERA5-Land</td> </tr> <tr> <td>max_wind_direction</td> <td>degrees</td> <td>Wind direction of Max Wind</td> <td>Daily Maximum wind speed direction calculated from the U, V components</td> </tr> <tr> <td>max_wind_speed</td> <td>m/s</td> <td>Max wind speed norm</td> <td>Daily Maximum wind speed calculated from the U, V components</td> </tr> <tr> <td>max_wind_u10</td> <td>m/s</td> <td>10 metre U wind of Max Wind</td> <td>Daily 10 metre U wind component of Maximum Wind</td> </tr> <tr> <td>max_wind_v10</td> <td>m/s</td> <td>10 metre V wind of Max Wind</td> <td>Daily 10 metre V wind component of Maximum Wind</td> </tr> <tr> <td>min_d2m</td> <td>K</td> <td>Min 2 metre dewpoint temperature</td> <td>Daily Minimum 2 metre dewpoint temperature ERA5-Land</td> </tr> <tr> <td>min_rh</td> <td>%</td> <td>Min Relative humidity</td> <td>Daily Minimum Relative humidity calculated from t2m and d2m</td> </tr> <tr> <td>min_sp</td> <td>Pa</td> <td>Min Surface Pressure</td> <td>Daily Minimum Surface pressure ERA5-Land</td> </tr> <tr> <td>min_t2m</td> <td>K</td> <td>Min 2 metre temperature</td> <td>Daily Minimum 2 metre temperature ERA5-Land</td> </tr> <tr> <td>min_tp</td> <td>m</td> <td>Min Total precipitation</td> <td>Daily Minimum Total precipitation ERA5-Land</td> </tr> <tr> <td>min_u10</td> <td>m/s</td> <td>Min 10 metre U wind component</td> <td>Daily Minimum 10 metre U wind component ERA5-Land</td> </tr> <tr> <td>min_v10</td> <td>m/s</td> <td>Min 10 metre V wind component</td> <td>Daily Minimum 10 metre V wind component ERA5-Land</td> </tr> <tr> <td>ndvi</td> <td>unitless</td> <td>16-day NDVI</td> <td>Normalized Difference Vegetation Index - MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid</td> </tr> <tr> <td>number_of_fires</td> <td>unitless</td> <td>Daily number of fires</td> <td>Daily number of fires</td> </tr> <tr> <td>smian</td> <td>unitless</td> <td>Soil moisture index anomaly</td> <td>Soil Moisture Index Anomaly 10day, 5km Europe - EDO https://edo.jrc.ec.europa.eu/gdo/php/index.php?id=2112</td> </tr> <tr> <td>sminx</td> <td>unitless</td> <td>Soil moisture index</td> <td>Soil Moisture Index 10day, 5km Europe - EDO https://edo.jrc.ec.europa.eu/gdo/php/index.php?id=2112</td> </tr> <tr> <td>ASPECT</td> <td>degrees</td> <td>Aspect</td> <td>Aspect calculated from Digital Elevation Model EU-DEM</td> </tr> <tr> <td>CLC_2006</td> <td>unitless</td> <td>Mode of Corine Land Cover 2006</td> <td>Mode of Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_0</td> <td>/100 %</td> <td>Fraction of lc class 0 (artificial_surfaces)</td> <td>Fraction of class 0 (artificial surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_1</td> <td>/100 %</td> <td>Fraction of lc class 1 (discontinuous_urban)</td> <td>Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_2</td> <td>/100 %</td> <td>Fraction of lc class 2 (arable_land)</td> <td>Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_3</td> <td>/100 %</td> <td>Fraction of lc class 3 (permanent_crops)</td> <td>Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_4</td> <td>/100 %</td> <td>Fraction of lc class 4 (pastures)</td> <td>Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_5</td> <td>/100 %</td> <td>Fraction of lc class 5 (general_agricultural)</td> <td>Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_6</td> <td>/100 %</td> <td>Fraction of lc class 6 (forest)</td> <td>Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_7</td> <td>/100 %</td> <td>Fraction of lc class 7 (misc_vegetation)</td> <td>Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_8</td> <td>/100 %</td> <td>Fraction of lc class 8 (misc_no_vegetation)</td> <td>Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2006_9</td> <td>/100 %</td> <td>Fraction of lc class 9 (water)</td> <td>Fraction of class 9 (water), Corine Class Codes [&gt;=35], for every grid cell, based on Corine Land Cover 2006</td> </tr> <tr> <td>CLC_2012</td> <td>unitless</td> <td>Mode of Corine Land Cover 2012</td> <td>Mode of Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_0</td> <td>/100 %</td> <td>Fraction of lc class 0 (artificial_surfaces)</td> <td>Fraction of class 0 (artificial_surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_1</td> <td>/100 %</td> <td>Fraction of lc class 1 (discontinuous_urban)</td> <td>Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_2</td> <td>/100 %</td> <td>Fraction of lc class 2 (arable_land)</td> <td>Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_3</td> <td>/100 %</td> <td>Fraction of lc class 3 (permanent_crops)</td> <td>Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_4</td> <td>/100 %</td> <td>Fraction of lc class 4 (pastures)</td> <td>Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_5</td> <td>/100 %</td> <td>Fraction of lc class 5 (general_agricultural)</td> <td>Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_6</td> <td>/100 %</td> <td>Fraction of lc class 6 (forest)</td> <td>Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_7</td> <td>/100 %</td> <td>Fraction of lc class 7 (misc_vegetation)</td> <td>Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_8</td> <td>/100 %</td> <td>Fraction of lc class 8 (misc_no_vegetation)</td> <td>Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2012_9</td> <td>/100 %</td> <td>Fraction of lc class 9 (water)</td> <td>Fraction of class 9 (water), Corine Class Codes [&gt;=35], for every grid cell, based on Corine Land Cover 2012</td> </tr> <tr> <td>CLC_2018</td> <td>unitless</td> <td>Mode of Corine Land Cover 2018</td> <td>Mode of Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_0</td> <td>/100 %</td> <td>Fraction of lc class 0 (artificial_surfaces)</td> <td>Fraction of class 0 (artificial_surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_1</td> <td>/100 %</td> <td>Fraction of lc class 1 (discontinuous_urban)</td> <td>Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_2</td> <td>/100 %</td> <td>Fraction of lc class 2 (arable_land)</td> <td>Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_3</td> <td>/100 %</td> <td>Fraction of lc class 3 (permanent_crops)</td> <td>Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_4</td> <td>/100 %</td> <td>Fraction of lc class 4 (pastures)</td> <td>Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_5</td> <td>/100 %</td> <td>Fraction of lc class 5 (general_agricultural)</td> <td>Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_6</td> <td>/100 %</td> <td>Fraction of lc class 6 (forest)</td> <td>Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_7</td> <td>/100 %</td> <td>Fraction of lc class 7 (misc_vegetation)</td> <td>Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_8</td> <td>/100 %</td> <td>Fraction of lc class 8 (misc_no_vegetation)</td> <td>Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>CLC_2018_9</td> <td>/100 %</td> <td>Fraction of lc class 9 (water)</td> <td>Fraction of class 9 (water), Corine Class Codes [&gt;=35], for every grid cell, based on Corine Land Cover 2018</td> </tr> <tr> <td>DEM</td> <td>m</td> <td>Elevation</td> <td>Averaged Digital Elevation Model EU-DEM</td> </tr> <tr> <td>POP_DENS_2009</td> <td>humans/km^2</td> <td>Population density (2009)</td> <td>Population density for year 2009 from Worldpop</td> </tr> <tr> <td>POP_DENS_2010</td> <td>humans/km^2</td> <td>Population density (2010)</td> <td>Population density for year 2010 from Worldpop</td> </tr> <tr> <td>POP_DENS_2011</td> <td>humans/km^2</td> <td>Population density (2011)</td> <td>Population density for year 2011 from Worldpop</td> </tr> <tr> <td>POP_DENS_2012</td> <td>humans/km^2</td> <td>Population density (2012)</td> <td>Population density for year 2012 from Worldpop</td> </tr> <tr> <td>POP_DENS_2013</td> <td>humans/km^2</td> <td>Population density (2013)</td> <td>Population density for year 2013 from Worldpop</td> </tr> <tr> <td>POP_DENS_2014</td> <td>humans/km^2</td> <td>Population density (2014)</td> <td>Population density for year 2014 from Worldpop</td> </tr> <tr> <td>POP_DENS_2015</td> <td>humans/km^2</td> <td>Population density (2015)</td> <td>Population density for year 2015 from Worldpop</td> </tr> <tr> <td>POP_DENS_2016</td> <td>humans/km^2</td> <td>Population density (2016)</td> <td>Population density for year 2016 from Worldpop</td> </tr> <tr> <td>POP_DENS_2017</td> <td>humans/km^2</td> <td>Population density (2017)</td> <td>Population density for year 2017 from Worldpop</td> </tr> <tr> <td>POP_DENS_2018</td> <td>humans/km^2</td> <td>Population density (2018)</td> <td>Population density for year 2018 from Worldpop</td> </tr> <tr> <td>POP_DENS_2019</td> <td>humans/km^2</td> <td>Population density (2019)</td> <td>Population density for year 2019 from Worldpop</td> </tr> <tr> <td>POP_DENS_2020</td> <td>humans/km^2</td> <td>Population density (2020)</td> <td>Population density for year 2020 from Worldpop</td> </tr> <tr> <td>POP_DENS_2021</td> <td>humans/km^2</td> <td>Population density (2021)</td> <td>Population density for year 2021 from Worldpop</td> </tr> <tr> <td>ROAD_DISTANCE</td> <td>meters</td> <td>Distance from roads</td> <td>Distance from major roads from Worldpop</td> </tr> <tr> <td>ROUGHNESS</td> <td>unitless</td> <td>Roughness</td> <td>Roughness calculated from Digital Elevation Model EU-DEM</td> </tr> <tr> <td>SLOPE</td> <td>degrees</td> <td>Slope</td> <td>Slope calculated from Digital Elevation Model EU-DEM</td> </tr> <tr> <td>WATERWAY_DISTANCE</td> <td>meters</td> <td>Distance from waterways</td> <td>Distance from major waterways from Worldpop</td> </tr> </tbody> </table> <p>temporal_extent : (2009-03-06, 2021-08-29)</p> <p>spatial_extent : (18.7, 34.3, 28.9, 42.3)</p> <p>crs : EPSG:4326</p> <p>license : Creative Commons Attribution v4</p> <p>creators : Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis</p> <p>contact_person : Ioannis Prapas &lt;iprapas (at) noa.gr&gt;</p> <p>citation : Ioannis Prapas, Spyros Kondylatos, &amp; Ioannis Papoutsis. (2021). A Datacube for the analysis of wildfires in Greece (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4943354</p> <p>acknowledgements : This work has received funding from the European Union&rsquo;s Horizon 2020 research and innovation project DeepCube, under grant agreement number 101004188.</p> <p>title : FireCube: A Daily Datacube for the Modeling and Analysis of Wildfires in Greece</p>