IDENTIFYING INDIVIDUAL FIRES FROM SATELLITE-DERIVED BURNED AREA DATA

被引：45

作者：

Archibald, S. ^{[1
]}

Roy, D. P. ^{[1
]}

机构：

[1] CSIR Nat Resources & Environm, POB 395, ZA-0001 Pretoria, South Africa

来源：

2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年

关键词：

fires; algorithms; environmental factors; human factors; image processing; SOUTHERN AFRICA; FREQUENCY;

D O I：

10.1109/IGARSS.2009.5417974

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页码：1462 / +

页数：2

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