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Clustering and Classification of Time Series from Satellite Images

Grant number: 11/23614-9
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): February 01, 2012
Effective date (End): 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
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil


In Brazil, a significant part of the national economy resources comes from agricultural production. Therefore, crop analysis and monitoring have become an important task to many researches. In addition, sugarcane crops are the main source for ethanol production. In this context, remote sensing data, such as satellite images, has been used to monitoring 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.