Publicação
Detecção remota de áreas ardidas no sul de África. Contribuição para a redução da incerteza nas estimativas de incidência do fogo
| Resumo: | The broad geographical range and temporal dynamics of the areas affected by biomass burning require the use of remote sensing for quantitative assessment of the process. Due to the complex factors that interact in the tropical regions, the “Southern Africa Regional Science Initiative” (SAFARI 2000) was developed to investigate the role of biomass burning on the savannas of southern Africa, its impact over the atmosphere, climate and ecology. This was also an opportunity to explore the adequacy of the new MODIS sensor, for burnt area mapping and to produce accurate estimates of other parameters involved in the evaluation of the emission estimates from vegetation fires. Under this framework, two campaigns were developed, in Zambia and Mozambique, to evaluate the spectral and spatial ability of MODIS to detect burnt areas and improve the current burnt area extent and biomass burnt estimates at the regional level. In this thesis we showed that MODIS data has the potential to improve these estimates. Factors such as climate, vegetation and anthropological are also determinants of fire incidence, and understand the pyrogeography is important to incorporate this information on burnt area classification algorithms and biomass burning models. We found non-stationary fire environment relationships in Africa. |
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| Autores principais: | Sá, Ana Cristina Lopes |
| Assunto: | Africa detecção remota área queimada padrões espaciais imagens de satélite relação fogo-ambiente remote sensing fire environment relationships |
| Ano: | 2008 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | português |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The broad geographical range and temporal dynamics of the areas affected by biomass burning require the use of remote sensing for quantitative assessment of the process. Due to the complex factors that interact in the tropical regions, the “Southern Africa Regional Science Initiative” (SAFARI 2000) was developed to investigate the role of biomass burning on the savannas of southern Africa, its impact over the atmosphere, climate and ecology. This was also an opportunity to explore the adequacy of the new MODIS sensor, for burnt area mapping and to produce accurate estimates of other parameters involved in the evaluation of the emission estimates from vegetation fires. Under this framework, two campaigns were developed, in Zambia and Mozambique, to evaluate the spectral and spatial ability of MODIS to detect burnt areas and improve the current burnt area extent and biomass burnt estimates at the regional level. In this thesis we showed that MODIS data has the potential to improve these estimates. Factors such as climate, vegetation and anthropological are also determinants of fire incidence, and understand the pyrogeography is important to incorporate this information on burnt area classification algorithms and biomass burning models. We found non-stationary fire environment relationships in Africa. |
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