PPBIO PROGRAMA DE PÓS-GRADUAÇÃO EM BIOSSISTEMAS CENTRO DE FORMAÇÃO EM CIÊNCIAS AGROFLORESTAIS Phone: (73) 3214-3288

Banca de DEFESA: UILTON JORGE BARRETO SANTANA AMARAL

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : UILTON JORGE BARRETO SANTANA AMARAL
DATE: 20/10/2023
TIME: 14:00
LOCAL: https://conferenciaweb.rnp.br/sala/robson-da-silva-magalhaes
TITLE:

LAND USE AND COVER ANALYSIS IN THE UNA RIVER HYDROGRAPHIC BASIN PERMANENT PRESERVATION AREAS, BAHIA, BRAZIL.


KEY WORDS:

Protected areas; Geoprocessing and Bibliometry


PAGES: 69
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUMMARY:

The Una River watershed is located on the southern coast of Bahia, within the Atlantic Forest Central Corridor. It is characterized as an area of extreme ecological importance, which is evidenced by the significant presence of conservation units contained within its limits. There are three conservation areas, entirely or partially contained, which are: The Serra das Lontras National Park, the Una Wildlife Refuge and the Una Biological Reserve. The main objective of this research is to conduct an analysis of land use and occupation in the permanent preservation areas of the Una River Basin. The work was carried out to analyze the dynamics of land cover and land use in the Areas of Permanent Preservation (APP) of the study area. To this end, the land cover and land use mapping of the study area was carried out. Sentinel II images from 2021 were used because they have a spatial resolution of 10 meters and are freely available for use on the Google Earth Engine platform. In data processing the use of programming languages applied to geoprocessing stands out. The technical work was developed in Restudio, through a bibliometric analysis of the objects studied in the research; Google Earth Engine, environment in which image processing and land cover and land use classification were carried out; Qgis and pycharm, responsible for the APP processing. Two of these environments are exclusively for programming in R and Python. The results indicated a higher conservation rate in the PPAs of hilltops and slopes with slope greater than 45°, having an absolute area of 4,910 and 21 ha of native forest respectively, both corresponding to a percentage greater than 90% of their total areas.


COMMITTEE MEMBERS:
Presidente - 1861478 - ROBSON DA SILVA MAGALHAES
Interno - 3026285 - RAFAEL HENRIQUE DE FREITAS NORONHA
Interno - 1059478 - GERSON DOS SANTOS LISBOA
Externo ao Programa - 1932539 - JOAO BATISTA LOPES DA SILVA - UFSBExterno à Instituição - LUCIANO CAVALCANTE DE JESUS FRANÇA - UFU
Externo à Instituição - EDVALDO OLIVEIRA - UESB
Notícia cadastrada em: 29/09/2023 11:11
SIGAA | Superintendência de Tecnologia da Informação -   | Copyright © 2006-2024 - UFRN - 6b062eeef8db.sigaa2-prod