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SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES

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Author(s):
Torres, Ricardo da S. ; Hasegawa, Makoto ; Tabbone, Salvatore ; Almeida, Jurandy ; dos Santos, Jefersson A. ; Alberton, Bruna ; Morellato, Leonor Patricia C. ; IEEE
Total Authors: 8
Document type: Journal article
Source: 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS); v. N/A, p. 4-pg., 2013-01-01.
Abstract

Remote phenology has motivated the development of new technologies for pattern observation. In this scenario, digital cameras have been used as data source for studies that estimate changes on phenological events. In this paper, we investigate the use of shape descriptors in the task of characterizing time series associated with phenological changes. The main objectives are: i) to determine which color channel is better for extracting shape descriptors and ii) to analyze the impact of the sunshine on the performance of shape descriptors. (AU)

FAPESP's process: 12/18768-0 - Multiscale Classification By Using Optimum Path-Forest
Grantee:Jefersson A dos Santos
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 10/52113-5 - e-phenology: the application of new technologies to monitor plant phenology and track climate changes in the tropics
Grantee:Leonor Patricia Cerdeira Morellato
Support Opportunities: Research Program on Global Climate Change - Regular Grants
FAPESP's process: 11/11171-5 - Management Time Series of the e-Phenology
Grantee:Jurandy Gomes de Almeida Junior
Support Opportunities: Scholarships in Brazil - Post-Doctoral