Banca de QUALIFICAÇÃO: CAROLINA AGOSTINI DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : CAROLINA AGOSTINI DE OLIVEIRA
DATE: 17/08/2022
TIME: 18:00
LOCAL: Online (https://meet.google.com/yri-ispc-ysv)
TITLE:

Land use and forest fragmentation at national parks located in Atlantic Forest biome

KEY WORDS:

Protected areas. Conservation units. Supervised classification. Landscape ecology. Environmental monitoring.

PAGES: 70
BIG AREA: Outra
AREA: Ciências Ambientais
SUMMARY:

The Atlantic Forest is one of the most biodiverse biomes on the planet, and also one of the most threatened, since it has less than 20% of its original vegetation cover. In this scenario, the environmental monitoring of protected areas can contribute to the environment conservation, providing information to law enforcement and environmental agencies in order to avoid the anthropization advance in natural areas. This research seeks to investigate land use and its relationship with forest fragmentation in the National Parks of Alto Cariri (Bahia State), Serra do Gandarela (Minas Gerais State) and Aparados da Serra and Serra Geral (Rio Grande do Sul and Santa Catarina States) and in their buffer zones. The National Parks were selected according to criteria such as region, founding year, area and management plan existence. Spatial analysis involves the following steps: construction of a cartographic base with 2021 data from IBGE; mapping of land use with Planet NICFI images of spatial high resolution in june 2020; supervised classification with maximum likelihood algorithm with the SCP plugin for QGIS; accuracy analysis with AcATaMa plugin for QGIS, with global accuracy and kappa accuracy index calculations; calculation of landscape metrics for forest fragments (size, area, perimeter, shape index, perimeter-area relationship and distance of the nearest neighbor) using Fragstats software; and obtaining alerts within two years period after the mapping date (years 2020 to 2022), with satellite images of the study area on the Planet NICFI platform. As a result, thematic maps of land use were generated with global accuracy around 80% and minimum kappa accuracy index of 0.70, qualifying the classification process as very good. Environmental monitoring alerts will be obtained after the consolidation and discussion of data on land use and landscape ecology in the study area.

BANKING MEMBERS:
Presidente - 3072612 - ELFANY REIS DO NASCIMENTO LOPES
Externa ao Programa - 1361004 - JOANNA MARIA DA CUNHA DE OLIVEIRA SANTOS NEVES
Externo à Instituição - MIQUEIAS LIMA DUARTE - IBGE
Externo à Instituição - JOCY ANA PAIXÃO DE SOUSA