Banca de DEFESA: PEDRO HENRIQUE PINTO CAMPOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : PEDRO HENRIQUE PINTO CAMPOS
DATA : 20/04/2018
HORA: 09:00
LOCAL: AUDITÓRIO DO CTEC
TÍTULO:

EVALUATION OF SPACE INTERPOLATION METHODS AND REMOTE SENSING TECHNIQUES IN THE BATHYMETRIC CHARACTERIZATION OF THE POTIGUAS BASIN


PALAVRAS-CHAVES:

Digital image processing; Landsat; geoprocessing, Digital Terrain Model.


PÁGINAS: 78
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Civil
SUBÁREA: Geotécnica
RESUMO:

The extraction of bathymetry by satellite image is an activity that has been evolving in its methodology due to the aerospacial technological advances. Satellite images of a wide electromagnetic capture are able to bring information that are beyond traditional photographs. They are images that, through some specific calculations methodologies can show, for example, the depth of the ocean. The literature shows that it is not yet known which calculation methodology is most appropriate. Another key point involved in the process is the generation of bathymetric maps by interpolation from clouds of points, there are several methods of interpolation today, but much is still debated about which are the most appropriate for each case. The mapping of the seabed is an activity performed for several purposes. It can be used for navigation, oil reservoir prospecting, environmental monitoring, wave modeling, coastal erosion study and others. Brazil has one of the largest coastlines in the world with more than 8500 km of extension, many of its cities have been installed on the coast and are submitted to the consequences of problems associated with the sea, such as undertow, coastal erosion, urban disorder, landscape impact, ecological impact etc. This necessitates a deeper study of ocean floor mapping models. Moura (2010) did the interpolation analysis using bathymetry data obtained by Nautical Charts and bathymetry data obtained in loco. In his work a series of 12 interpolators were evaluated. A satellite image of Gomes et al. (2007) was used to aid in a visual evaluation of the results. The present work has as general objective to complement the analysis of Moura (2010), providing a quantitative reference to make this evaluation, from a bathymetry extraction of a Landsat 8 Satellite Image of the region. The methods of bathymetry extraction used were Mcfeeters (1996) and Philpot (1989). The extraction of bathymetry was done with the software Arcgis, Envi and Matlab. The interpolations were made in the Surfer and the data were compared to each other using the statistical analysis of Correlation Coefficient (R²), concordance index (d), MAPE, RMSE and Cross Validation. In terms of the results of the bathymetry extraction, Mcfeeters (1996) was the method that brought better representation of the region. In terms of result of the interpolations of the in-situ bathymetry data, the Interpolators Local Polynomial, Inverse Distance, Minimum Curvature were chosen the most representative methods. For nautical chart data, the Natural Neighbor, TIN, Kriging, and Radial Base Function interpolators were classified as the most appropriated interpolation methods because they had the best statistic results.


MEMBROS DA BANCA:
Presidente - 350698 - VENERANDO EUSTAQUIO AMARO
Interno - 637.477.312-87 - MARIA DE FATIMA ALVES DE MATOS - UFRN
Externo à Instituição - MICHAEL VANDESTEEN SILVA SOUTO - UFC
Notícia cadastrada em: 17/04/2018 11:29
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