Archibald, SRoy, DP2010-03-252010-03-252009-07Archibald, S and Roy, DP 2009. Identifying individual fires from satellite-derived burned area data. IEEE. International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, pp 160-163http://hdl.handle.net/10204/3999Copyright: 2009 IEEE .International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009An algorithm for identifying individual fires from the Modis burned area data product is introduced for southern Africa. This algorithm gives the date of burning, size of fire, and location of the centroid for all fires identified over 8 years in Africa south of the equator. The results are compared with other available spatial information on fires, and tested to see whether they give reasonable results in a range of different fire systems in the region. Initial results indicate that humans can have massive impacts on fire size distributions and on the area burned by large fires. This information on fire number and fire size can be used to ask important questions on the effect of increasing human ignitions, and the barriers to fire spread in savanna systems.enAlgorithmsFiresEnvironmental factorsHuman factorsImage processingIgnition frequencyFire sizeFire numberConference PresentationArchibald, S., & Roy, D. (2009). Identifying individual fires from satellite-derived burned area data. IEEE. http://hdl.handle.net/10204/3999Archibald, S, and DP Roy. "Identifying individual fires from satellite-derived burned area data." (2009): http://hdl.handle.net/10204/3999Archibald S, Roy D, Identifying individual fires from satellite-derived burned area data; IEEE; 2009. http://hdl.handle.net/10204/3999 .TY - Conference Presentation AU - Archibald, S AU - Roy, DP AB - An algorithm for identifying individual fires from the Modis burned area data product is introduced for southern Africa. This algorithm gives the date of burning, size of fire, and location of the centroid for all fires identified over 8 years in Africa south of the equator. The results are compared with other available spatial information on fires, and tested to see whether they give reasonable results in a range of different fire systems in the region. Initial results indicate that humans can have massive impacts on fire size distributions and on the area burned by large fires. This information on fire number and fire size can be used to ask important questions on the effect of increasing human ignitions, and the barriers to fire spread in savanna systems. DA - 2009-07 DB - ResearchSpace DP - CSIR KW - Algorithms KW - Fires KW - Environmental factors KW - Human factors KW - Image processing KW - Ignition frequency KW - Fire size KW - Fire number LK - https://researchspace.csir.co.za PY - 2009 T1 - Identifying individual fires from satellite-derived burned area data TI - Identifying individual fires from satellite-derived burned area data UR - http://hdl.handle.net/10204/3999 ER -