dc.contributor.author |
Archibald, S
|
|
dc.contributor.author |
Roy, DP
|
|
dc.date.accessioned |
2010-03-25T14:09:31Z |
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dc.date.available |
2010-03-25T14:09:31Z |
|
dc.date.issued |
2009-07 |
|
dc.identifier.citation |
Archibald, 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 160-163 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/3999
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|
dc.description |
Copyright: 2009 IEEE .International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009 |
en |
dc.description.abstract |
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. |
en |
dc.language.iso |
en |
en |
dc.publisher |
IEEE |
en |
dc.subject |
Algorithms |
en |
dc.subject |
Fires |
en |
dc.subject |
Environmental factors |
en |
dc.subject |
Human factors |
en |
dc.subject |
Image processing |
en |
dc.subject |
Ignition frequency |
en |
dc.subject |
Fire size |
en |
dc.subject |
Fire number |
en |
dc.title |
Identifying individual fires from satellite-derived burned area data |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Archibald, S., & Roy, D. (2009). Identifying individual fires from satellite-derived burned area data. IEEE. http://hdl.handle.net/10204/3999 |
en_ZA |
dc.identifier.chicagocitation |
Archibald, S, and DP Roy. "Identifying individual fires from satellite-derived burned area data." (2009): http://hdl.handle.net/10204/3999 |
en_ZA |
dc.identifier.vancouvercitation |
Archibald S, Roy D, Identifying individual fires from satellite-derived burned area data; IEEE; 2009. http://hdl.handle.net/10204/3999 . |
en_ZA |
dc.identifier.ris |
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 -
|
en_ZA |