Identificação de áreas de renovação da cultura da cana-de-açúcar por meio de índice de vegetação e técnicas de sensoriamento remoto

• Autor(a) principal: Lovato, João Guilherme Lopes
• Data de Publicação: 2021
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/217226
• topic: Cana-de-açúcar; Sensoriamento remoto; Satélites artificiais na agricultura

The state of São Paulo is the largest producer of sugarcane of all Brazilian states. According to Conab (Compania Nacional de Abastecimento) São Paulo was responsible for 54% of all the crop land of the 2020/2021 sugarcane cycle. Sugarcane’s production cycle, especially in Brazilian’s southeast region, introduces soybean or peanut during its renewable cycle. The aim of this study is to analyze the viability of identifying remotely sugarcane’s fallow areas through the Normalized Difference Vegetation Index (NDVI) as well as define the best dates to identify it. NDVI values were generated from the third and fourth bands of the WPM sensor aboard the CBERS 04A satellite with five different stages of the referred agricultural cycle. The city of Dumont SP was the selected one to acquire these five images and then eighteen sugarcane plots were selected to analyze. The open software QGIS was then used to select and analyze all regions. The data generated confirmed that it is viable to differentiate sugarcane’s fallow areas through the use of NDVI and remote sensing techniques. It was also concluded that months between november through march were the best time period for this.