Banca de QUALIFICAÇÃO: RAFAEL SANTOS SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : RAFAEL SANTOS SILVA
DATE: 25/02/2022
TIME: 09:00
LOCAL: meet.google.com/icb-dahi-pzw
TITLE:

USE OF SATELLITE IMAGES FOR TEMPORAL ANALYSIS OF LAND USE AND VEGETABLE COVERAGE IN MICROREGIONAL SCALE HYDROGRAPHIC BASINS

KEY WORDS:

Environmental planning; Watersheds; Land use classification; NDVI.

PAGES: 67
BIG AREA: Ciências Humanas
AREA: Geografia
SUMMARY:

The changes in the environment caused, in recent years, by human activities are noticeable at all scales. The problems caused by human interference in rural areas have meant the reduction of vegetation cover, particularly in areas of permanent preservation (APP), such as riparian vegetation. The reduction of agricultural land caused by erosion processes are linked to agropastoral activities that have caused the degradation of the environment when they are not carried out accompanied by environmental planning. With the advancement of remote sensing technology, satellite data and processing methods are being used to analyze changes in land cover and use. The objective of this dissertation is to identify the degraded areas due to the intense use of land by agrosilvopastoral activities within the Rios das MortesPequeno (BHRMP) watershed, located in the municipalities of São João del Rei and Conceição da Barra de Minas, in Minas Gerais. The method used to analyze changes in watersheds is through the elaboration of maps using free software QuantumGIS (QGIS). The use of QGIS is justified by the easy and fast developer who uses the Python language. The Semi-Automatic Classification Plugin (SCP) processing plugin was used, which enables the supervised classification of remote sensing images and the calculation of vegetation indices such as NDVI (Normalized Difference Vegetation Index). The classification of the images was adapted from the MAPBiomas and TerraClass method, which allowed the identification of the main land uses in the BHRMP. The use of the NDVI Vegetation Index was performed to analyze the time series of the last years, identifying the changes that occurred in the vegetation within the BHRMP. The results of image classification using the SCP plugin, revealed that the use of BHRMP focuses on Native Forest, Planted Forest, Field, Pasture and Annual Crop, Exposed and Urban Soil, Water bodies and shade, presenting the first two classes in its largest percentage of the area. It is intended to find with the results of the application of the NDVI, relating it with data of temperature and precipitation, the reduction of the vegetal cover, demonstrating the lack of environmental planning of the area.

BANKING MEMBERS:
Presidente - 1729282 - MUCIO DO AMARAL FIGUEIREDO
Interna - 007.170.909-65 - FRANCIELLE DA SILVA CARDOZO - UFSJ
Interno - 1375368 - LEONARDO CRISTIAN ROCHA