This interactive map shows active fire data from MODIS and VIIRS instruments for Tunceli Province, Turkey. The data covers the annual dry season from May to October each year. MODIS active fire data spans 2010 to 2018. VIIRS active fire data spans from 2012 to 2018. The MODIS or VIIRS data layers may be hidden by clicking the layers on and off. Each “active fire” point represents a hotspot or individual fire detected by the algorithm. More information about each fire detected can be found by clicking the points on the map.
The maps and graphs below show the location and the total number of active fires detected each year, during the annual dry season (i.e., May to October), by MODIS and VIIRS respectively.
For both MODIS and VIIRS AF products, fire count is highest in 2017, with 38 and 233 fires detected for MODIS and VIIRS products respectively. Fire counts for both products show an increase in the number of fires after the year 2015.
Both MODIS and VIIRS AF products show higher fire counts in August and September each season. May had the lowest fire count of both the products. The largest amount of fires detected by both products for any month is in September 2018, where VIIRS detected 123 fires and MODIS detected 19 fires.
Accuracy of Fire Products
The accuracy or “correctness” of the MODIS and VIIRS active fire products has been researched in papers by Giglio (2016) and Schroeder (2014) respectively.
According to Giglio (2016), the MODIS active fire product omitted approximately 86% of fire from sampled regions around the globe. However, the error size decreases when the fire size increases, indicating the product is useful for detecting larger fires. For fires greater than 0.20 km2 the number of fires omitted stabilizes around 5%. Furthermore, 1.2% of the fires detected during the daytime were incorrectly classified as fires. However, the number of incorrectly classified fires during the night was negligible.
According to Schroeder (2014), a full quantitative error analysis of the VIIRS active fire product is not yet available due to the limitation of paired reference datasets overlapping in time, which is important for temporal accuracy. However, fires incorrectly classified in the initial assessments are deemed minimal.
Giglio, L., W. Schroeder, and C. O. Justice. 2016. The collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environment 178. British Geological Survey, NERC: 31–41. doi:10.1016/j.rse.2016.02.054.
Schroeder, W., P. Oliva, L. Giglio, and I. A. Csiszar. 2014. Remote Sensing of Environment The New VIIRS 375 m active fi re detection data product : Algorithm description and initial assessment. Remote Sensing of Environment 143. Elsevier Inc.: 85–96. doi:10.1016/j.rse.2013.12.008.