Sensoriamento remoto por meio de aeronave remotamente pilotada para estudo do manguezal da baía de Vitória (ES)

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Silva, Elizabeth Dell’ Orto e
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Doutorado em Oceanografia Ambiental
UFES
Programa de Pós-Graduação em Oceanografia Ambiental
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
55
Link de acesso: http://repositorio.ufes.br/handle/10/10665
Resumo: The mangrove ecosystem provides several ecological and economic services, but they are among the most threatened and vulnerable ecosystems in the world. They have become the focus of attention in the context of current climate change and discussions of the services provided by this ecosystem, such as carbon sequestration. In this context, remote sensing is an important tool to detect, identify, map and monitor the mangrove ecosystem. It is possible to obtain information such as tree density and height, species dominance, evaluate erosive processes, study the population dynamics of the vegetation, biomass calculation, among other studies. Such studies may be based on different sensors, such as aerial photography, high and medium resolution optical images, hyperspectral data and active microwave data (SAR). The acquisition of data through orbital sensors has some gaps such as revisiting time and spatial resolution. On the other hand, the high-resolution multispectral optical sensors on-board in a Unmanned Aerial Vehicles (UAV) is a promising technology for the detailed mapping of coastal ecosystems although the radiometric calibration process is still challenging. In this research we used ortomosaics obtained by an UAV for the multispectral analysis of the mangrove of Vitória Bay and we carried out hyperspectral analysis of three mangrove species; R. mangle, L. racemosa and A. schaueriana by means of spectroradiometry in the laboratory.