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FOREST Action 1 EFFIS 2010 Fires Season EFFIS main assessments during the 2010 fire season.

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Presentation on theme: "FOREST Action 1 EFFIS 2010 Fires Season EFFIS main assessments during the 2010 fire season."— Presentation transcript:

1 FOREST Action 1 EFFIS 2010 Fires Season EFFIS main assessments during the 2010 fire season

2 FOREST Action 2 EFFIS 2010 Fires Season Totals on burnt areas from EFFIS Rapid Damage Assessment Evolution of the fire season Burnt areas along the season Fire danger monitoring Forest fire statistics – exchange of data every 15 days Forest Fires in Europe 2009 report and other reporting from EFFIS European Forest Fire Database

3 FOREST Action 3 EFFIS 2010 Fires Season

4 FOREST Action 4 EFFIS 2010 Fires SeasonBurnt area mapped by EFFIS In Europe (Rapid Damage Assessment) CountryArea (Ha)Area (%)Number of events Portugal 127,891.060%308 Italy 34,379.316%164 Spain 19,914.89%80 Albania 8,154.74%37 Greece 6,496.33%22 France 4,676.72%10 Bosnia 3,350.12%9 Montenegro 2,087.81%14 FYROM 1,692.01%7 Turkey 1,277.71%5 Cyprus 1,121.81%7 Croatia 329.70.2%1 Bulgaria 27.60.01%1 Totals 2010 211,399.7100%665

5 FOREST Action 5 EFFIS 2010 Fires Season Land cover affected (EFFIS rapid damage assessment)

6 FOREST Action 6 EFFIS 2010 Fires Season

7 FOREST Action 7 EFFIS 2010 Fires Season

8 FOREST Action 8 EFFIS 2010 Fires SeasonEvolution of the 2010 fire season: weekly mapped burnt areas

9 FOREST Action 9 EFFIS 2010 Fires SeasonEvolution of the 2010 fire season: Weekly average fire danger (Portugal)

10 FOREST Action 10 EFFIS 2010 Fires Season

11 FOREST Action 11 EFFIS 2010 Fires Season Evolution of the fire season: Fire danger and burned areas

12 FOREST Action 12 EFFIS 2010 Fires Season Forest fire statistics exchange every 15 days

13 FOREST Action 13 EFFIS 2010 Fires Season Annual Fire Report published in August Publication of national data in the EFFIS Newsletters, after agreement with the countries. Communication with the press Provision of global statistics Emphasis on the EU scope of EFFIS.

14 FOREST Action 14 EFFIS 2010 Fires Season CountryArea (Ha)Area (%)Number of events Algeria 70,747.091.7%241 Tunisia 3,551.14.6%4 Morocco 2,826.13.7%4 Totals 77,124.3100%249 Burnt area mapped by EFFIS In Northern Africa CountryArea (Ha)Area (%)Number of events Algeria 141,852.395.0%240 Syria 5,276.13.5%8 Morocco 2,111.91.4%7 Tunisia 129.00.1%1 Totals 149,369.2100%256 In 2009 In 2010

15 FOREST Action 15 EFFIS 2010 Fires SeasonCountry Joined EFFIS Data from - to Number of years Portugal20001980 - 200930 Spain20001985 - 200824 France20001985 - 200925 Italy20001985- 200824 Finland20002004 - 20096 Germany20001994 – 200916 Greece20001983 – 200927 Bulgaria20022005 – 20095 Cyprus20022000 - 200910 Romania20022004 – 20096 Austria20030 Country Joined EFFIS Data from - to Number of years Czech Republic20042004 - 20085 Hungary20042002 - 20087 Latvia20042004 – 20096 Lithuania20042004 - 20096 Poland20041994 - 200916 Slovenia20040 Slovakia20042004 - 20096 Sweden20041996 - 200914 Turkey20042005 - 20084 U. K.20050 Croatia20061996 – 200712 Estonia20062005 – 20095 Switzerland20061980 - 200930 Montenegro2007 0 FYROM20080 21 Countries, 30-4 years About 1.6 million forest fires (1.9 million records) Individual fire event records delivered yearly by MS European Fire Database

16 FOREST Action 16 EFFIS 2010 Fires Season Variables requested IDUnique Fire identifier FIREID Date of first alert [YYYYMMDD] DATEAL Time of first alert [HHMM] TIMEAL Date of first intervention [YYYYMMDD] DATEIN Time of first intervention [HHMM] TIMEIN Date of fire extinction [YYYYMMDD] DATEEX Time of fire extinction [HHMM]TIMEEX TIME OF FIRE Province Code (national nomenclature) PROVCODE NUTS3 code NUTS3 Commune Code (national nomenclature) CODECOM Commune Name (national nomenclature) NAMECOM Latitude [decimal degrees] NORTH Longitude [decimal degrees]EAST LOCATION OF FIRE Burned Area FOREST [Ha] BAFOR Burned Area OTHER WOODED LAND [Ha] BAOW Burned Area OTHER NON WOODED NATURAL LAND [Ha] BAONW Burned Area AGRICULTURE AND OTHER ARTIFICIAL LAND [Ha]BAAGR SIZE OF FIRE Presumed Cause (EU categories code) CAUSE_EU Presumed Cause (Country detailed categories code)CAUSE_CO CAUSE OF FIRE

17 FOREST Action 17 EFFIS 2010 Fires Season Data are requested in Excel and a template is provided. However, other formats are accepted, especially for backdated historic records. All data formats are processed where possible. If not, the country are asked to resubmit in a different format

18 FOREST Action 18 EFFIS 2010 Fires Season Time of fire Is the date valid? Does it occur in the same year as the filename? Do date/time of intervention/extinction occur after initial date/time of alert? Is the duration of the fire reasonable given its size? Location of fire Do the place names exist/are they correctly spelt? Are the commune name/code/NUTS consistent? Is the correct code used? Where information are incomplete, is it possible to obtain it from cross-referring other data? If North/East values are given, are they plausible? Size of fire Are the values plausible (eg. correct units)? Have the categories been assigned correctly? Cause of fire Is the mapping between country code and EU code consistent/correct? Examples of data quality checks

19 FOREST Action 19 EFFIS 2010 Fires Season Validation tests Test Database Format/load data Load validated data Annual data submission from participating countries Confirm values with contributor if necessary EU Fire Database Further statistical analysis Export key statistics to EFFIS

20 FOREST Action 20 EFFIS 2010 Fires Season Forest fire counts (red figures still under validation) Data stored in database Total forest fire records >1.6 million

21 FOREST Action 21 EFFIS 2010 Fires Season EFFIS web interface to fire database

22 FOREST Action 22 EFFIS 2010 Fires Season Input formats: not yet consistent between countries or years, Problems with different language fonts, etc Definition of “Forest”, “Other wooded land”, “Other non-wooded land”, “Agriculture”: not consistent between countries or over time NUTS codes –dealing with changes over time Actual location info (long/lat) is relatively sparse and not consistently reported (projection/units, etc) Challenges Some countries do not report all fires: how to reconcile the raw data with annual totals that are supplied separately


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