Atualização de Documento

XIX SBSR

Formulário de atualização

O sistema de atualização, para eventuais correções, estará ativo até 30/11/2019.

Contato: bibdigital@inpe.br


Nome do Campo		Valor do Campo
Tipo de Referência		Artigo em Evento (Conference Proceedings)
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	Não esqueça de clicar na opção "+" para informar os dados dos co-autores, se tiver.		v
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Resumo	(*)(?)	The Amazonian floodplain has more than 8,000 lakes larger than one hectare of which less than 1% has been adequately studied. Given that the Brazilian electric power matrix is predominantly hydroelectric, the area flooded by the 150 largest reservoirs is nearly 45000 km2. The anthropogenic impacts in the Amazonian floodplain lakes as well as the net carbon budget in hydroelectric reservoirs are not well known and needs to be determined and monitored. Due to these aquatic system dimensions, its monitoring is only feasible by means of remote sensing. This work presents ongoing efforts and preliminary results for building a dataset which represents the first and the most comprehensive bio-optical information available on Brazilian inland waters to support the development of remote sensing algorithms for monitoring of aquatic systems. From 2012 to 2014 thirteen field campaigns were carried out in five hydroelectric reservoirs representing different Brazilian biomes, in a irrigation and domestic water supplier reservoir located in the semi-arid region and in Amazonian floodplain lakes. On average, 25 stations were sampled at each site and the following profiles were acquired: absorption, attenuation, scattering and backscattering coefficients, radiances/irradiances spectra above and in-water. Water samples were collected concurrently with profiles for determining concentrations of optically active constituents, CDOM absorption and specific coefficients of algal and no algal particulate. These data are being used to support the development of graduate student in order to foster the scientific development in the remote sensing of inland waters.
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e-Mail (login)		simone