Banca de DEFESA: MILENA DE ARAÚJO LIMOEIRO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : MILENA DE ARAÚJO LIMOEIRO
DATA : 11/11/2020
HORA: 14:00
LOCAL: online
TÍTULO:

USE OF GEOSPATIAL BIG DATA FOR ANALYSIS OF FAVORABILITY FOR FOREST RECOMPOSITION IN REGIONS DEGRADED BY ONSHORE EXPLORATION OF OIL AND GAS

PALAVRAS-CHAVES:

Geospatial big data. Map of favorability. Forest restoration

PÁGINAS: 108
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Civil
RESUMO:

Currently, the volume of data originating from remote sensing available to be used grows exponentially and the geospatial use of big data has started to attract more and more attention from the scientific community due to the countless possibilities of application in solving the most diverse types of problems. In parallel, the change in the world scenario of onshore exploration (in continental regions) of oil and natural gas, due to the intensification of deposits in predominantly tropical regions, brought a new problem linked to the fact that these regions are much more susceptible to degradation in function of intrinsic characteristics to the exploration of these minerals. Therefore, this work has as general objective the definition of a map of favorability to the forest restoration for impacted or degraded areas by onshore oil exploration with the use of geospatial big data, so a case study was carried out in the Água Grande field, which is located between the municipalities of Catu and Pojuca, Bahia. For this purpose, data from digital models of elevation, land use and cover, hydrography and climate were used. In addition, seven indicators were listed, each associated with a layer of information, to which weights and grades were assigned to their to your levels by experts. Then these layers of information were superimposed using map algebra, generating as output the favorability map for forest restoration. The main objective of the work was achieved and it was possible to observe that the choice of areas for the realization of reforestation projects can be more assertive with the use of a model that represents the favorability to forest restoration in the region. Among the indicators used, land use, proximity to areas of forest formation and proximity to water bodies were considered to have the greatest impact on the hierarchy of regions more or less favorable to reforestation, while indicators of proximity to urban areas, geomorphology and intensity of exposure to the sun were considered to have the least impact. Finally, it is important to note that the methodology developed in this work can be replicated in any region and thus offer a subsidy for the more strategic choice of areas that are candidates for reforestation.

MEMBROS DA BANCA:
Externo à Instituição - CARLA BERNADETE MADUREIRA CRUZ
Interno - 2390672 - FERNANDA PUGA SANTOS CARVALHO
Interno - 2097530 - JULIO CESAR PEDRASSOLI
Presidente - 2466669 - MAURO JOSE ALIXANDRINI JUNIOR