Sensitivity of the MODIS fire detection algorithm (MOD14) in the savanna region of the Northern Territory,Australia |
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| Institution: | 1. Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory 0909, Australia;2. Bushfires NT – Northern Territory Government, Winnellie, Northern Territory, Australia;1. Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, USA;2. USDA Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR 97331, USA;1. Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, 21941-916, Rio de Janeiro, RJ, Brazil;2. Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017, Lisboa, Portugal;3. Instituto Federal de Ciência e Tecnologia do Sul de Minas Gerais, 37890-000, Muzambinho, MG, Brazil;4. Centro de Previsão de Tempo e Estudos Climáticos/Instituto Nacional de Pesquisas Espaciais, Programa de Monitoramento de Queimada por Satélites, 12227-010, São José dos Campos, SP, Brazil;5. Instituto Português do Mar e da Atmosfera, 1749-077, Lisboa, Portugal;6. Departamento de Geografia, Universidade de Brasília, 70910-900, Brasília, DF, Brazil;7. Satellite Analysis Branch, NOAA/NESDIS, College Park, MD, 20740, USA;8. Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA;1. University of Maryland, Department of Geographical Sciences, College Park, MD, USA;2. NOAA/NESDIS/OSPO Satellite Analysis Branch, College Park, MD, USA;1. Jianghuai College of Anhui University, Hefei, Anhui, 230031, China;2. National Synchrotron Radiation Laboratory, USTC, Hefei, 230027, China;3. Lab.304 of Electronic Countermeasure Institute of NUDT, Hefei, 230037, China |
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| Abstract: | Fire detection using satellites is an important source of information for fire management, ecological studies and emission estimates. However, little is known about the minimum sizes of fires that are being detected. This paper presents an approach using fire radiative power estimated from MODIS satellite data to determine the detection threshold for fire-prone savannas in Northern Australia. The results indicate that fires with an active flaming area 100–300 m2 can be detected in the study region. It is also shown that the algorithm is slightly more sensitive at night. As expected the detection threshold shows strong view angle dependence. While this study has been undertaken in the savannas of Northern Australia, the results should be transferable to other savanna regions worldwide and other areas where fires are not obscured by a dense tree canopy. |
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