Sensoriamento remoto por meio de aeronave remotamente pilotada para estudo do manguezal da baía de Vitória (ES)
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 a...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal do Espírito Santo (UFES) |
| Repositorio: | Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufes.br:10/10665 |
| Acceso en línea: | http://repositorio.ufes.br/handle/10/10665 |
| Access Level: | acceso abierto |
| Palabra clave: | Sensoriamento remoto Fotogrametria aérea Manguezais - Vitória, Baía de (ES) Drone Ciências Ambientais 55 |
| Sumario: | 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. |
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