Detecção de agrupamentos e classificação de séries temporais extraídas de imagens de satélite

• Grant number: 11/23614-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2012
• End date: December 31, 2012
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Elaine Parros Machado de Sousa
• Grantee: Bruno Ferraz Do Amaral
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

In Brazil, a significant part of the national economy's resources comes from agricultural production. Therefore, crop analysis and monitoring have become important tasks for many researchers. In addition, sugarcane crops are the main source of ethanol production. In this context, remote sensing data, such as satellite images, has been used to monitor sugarcane crops. In this project, we aim at applying and developing data mining techniques to analyze NDVI time series obtained from NOAA-AVHRR satellite images. As a result, we expect to find useful patterns in NDVI time series data in order to assist the specialists in monitoring sugarcane crops.(AU)