Phenology is the study of periodic natural phenomena and their relationship to climate. Usually, phenology studies consider the identification of patterns on temporal data. In those studies, several phenological change patterns are often encoded in time series for analysis and knowledge extraction. In this paper, we evaluate the effectiveness of several time series similarity functions in the task of classifying time series related to phonological phenomena characterized by near-surface vegetation indices extracted from images. In addition, we performed a correlation analysis to identify potential candidates for combination. 31263131Schwartz, M.D., (2003) Phenology: An Integrative Environmental Science, , Academic PublishersRichardson, A.D., Jenkins, J.P., Braswell, B.H., Hollinger, D.Y., Ollinger, S.V., Smith, M.L., Use of digital webcam images to track spring greep-up in a deciduous broadleaf forest (2007) Oecologia, 152, pp. 323-334Ahrends, H., Etzold, S., Kutsch, W., Stoeckli, R., Bruegger, R., Jeanneret, F., Wanner, H., Eugster, W., Tree phenology and carbon dioxide fluxes: Use of digital photography for process-based interpretation at the ecosystem scale (2009) Climate Research, 39, pp. 261-274Richardson, A.D., Braswell, B.H., Hollinger, D.Y., Jenkins, J.P., Ollinger, S.V., Near-surface remote sensing of spatial and temporal variation in canopy phenology (2009) Ecological Applications, 19, pp. 1417-1428Alberton, B., Almeida, J., Henneken, R., Da S Torres, R., Menzel, A., Morellato, L.P.C., Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation (2014) Ecological Informatics, 19, pp. 62-70Torres, R.S., Hasegawa, M., Tabbone, S., Almeida, J., Santos, J.A., Alberton, B., Morellato, L.P.C., Shape-based time series analysis for remote phenology studies (2013) IEEE International Geoscience and Remote Sensing Symposium, pp. 3598-3601Almeida, J., Santos, J.A., Alberton, B., Morellato, L.P.C., Torres, R.S., Visual rhythm-based time series analysis for phenology studies (2013) IEEE International Conference on Image Processing, pp. 4412-4416Almeida, J., Santos, J.A., Alberton, B., Morellato, L.P.C., Torres, R.S., Plant species identification with phenological visual rhythms (2013) IEEE International Conference on EScience, pp. 148-154Cheng, H.-D., Jiang, X., Sun, Y., Wang, J., Color image segmentation: Advances and prospects (2001) Pattern Recognition, 34 (12), pp. 2259-2281Yi, B.-K., Faloutsos, C., Fast time sequence indexing for arbitrary lp norms (2000) International Conference on Very Large Data Bases, pp. 385-394Faloutsos, C., Ranganathan, M., Manolopoulos, Y., Fast subsequence matching in time-series databases (1994) SIGMOD Record, 23 (2), pp. 419-429. , MayBerndt, D.J., Clifford, J., Using dynamic time warping to find patterns in time series (1994) KDD Workshop, pp. 359-370Chen, L., Zsu, M.T., Robust and fast similarity search for moving object trajectories (2005) ACM SIGMOD International Conference on Management of Data, pp. 491-502Chen, L., Ng, R., (2004) On the Marriage of Lp-norms and Edit Distance, pp. 792-803Vlachos, M., Discovering similar multidimensional trajectories (2002) International Conference on Data Engineering, pp. 673-684Martin, J., Crowley, J.L., Experimental comparison of correlation techniques (1995) International Conference on Intelligent Autonomous SystemsAlmeida, J., Dos Santos, J.A., Alberton, B., Torres, R.S., Morellato, L.P.C., Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna (2012) IEEE International Conference on EScience, pp. 1-8Almeida, J., Santos, J.A., Alberton, B., Torres, R.S., Morellato, L.P.C., Applying machine learning based on multiscale classifiers to detect remote phenology patterns in cerrado savanna trees (2013) Ecological InformaticsGuigues, L., Cocquerez, J., Le Men, H., Scale-sets image analysis (2006) International Journal of Computer Vision, 68, pp. 289-317Kuncheva, L.I., Whitaker, C.J., Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy (2003) Machine LearningFaria, F.A., Dos Santos, J.A., Rocha, A., Da S Torres, R., A framework for selection and fusion of pattern classifiers in multimedia recognition (2014) Pattern Recognition Letters, 39 (0), pp. 52-64Andrade, F.S.P., Almeida, J., Pedrini, H., Torres, R.S., Fusion of local and global descriptors for content-based image and video retrieval (2012) Iberoamerican Congress on Pattern Recognition, pp. 845-853