dc.creator | Almeida J. | |
dc.creator | dos Santos J.A. | |
dc.creator | Miranda W.O. | |
dc.creator | Alberton B. | |
dc.creator | Morellato L.P.C. | |
dc.creator | da S. Torres R. | |
dc.date | 2015 | |
dc.date | 2015-06-25T12:53:32Z | |
dc.date | 2015-11-26T15:10:55Z | |
dc.date | 2015-06-25T12:53:32Z | |
dc.date | 2015-11-26T15:10:55Z | |
dc.date.accessioned | 2018-03-28T22:21:00Z | |
dc.date.available | 2018-03-28T22:21:00Z | |
dc.identifier | | |
dc.identifier | Ecological Informatics. Elsevier, v. 26, n. P3, p. 61 - 69, 2015. | |
dc.identifier | 15749541 | |
dc.identifier | 10.1016/j.ecoinf.2015.01.003 | |
dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-84922719400&partnerID=40&md5=68059736e1c28e8c439876e1e3197073 | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/85484 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/85484 | |
dc.identifier | 2-s2.0-84922719400 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1258031 | |
dc.description | Plant phenology studies recurrent plant life cycle events and is a key component for understanding the impact of climate change. To increase accuracy of observations, new technologies have been applied for phenological observation, and one of the most successful strategies relies on the use of digital cameras, which are used as multi-channel imaging sensors to estimate color changes that are related to phenological events. We monitor leaf-changing patterns of a cerrado-savanna vegetation by taking daily digital images. We extract individual plant color information and correlate with leaf phenological changes. For that, several vegetation indices associated with plant species are exploited for both pattern analysis and knowledge extraction. In this paper, we present a novel approach for deriving appropriate vegetation indices from vegetation digital images. The proposed method is based on learning phenological patterns from plant species through a genetic programming framework. A comparative analysis of different vegetation indices is conducted and discussed. Experimental results show that our approach presents higher accuracy on characterizing plant species phenology. | |
dc.description | 26 | |
dc.description | P3 | |
dc.description | 61 | |
dc.description | 69 | |
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dc.description | Alberton, 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) Ecol. Inform., 19, pp. 62-70 | |
dc.description | Almeida, J., dos Santos, J.A., Alberton, B., da S.Torres, R., Morellato, L.P.C., Remote phenology: applying machine learning to detect phenological patterns in a cerrado savanna (2012) IEEE International Conference on eScience (eScience'12), pp. 1-8 | |
dc.description | Almeida, J., dos Santos, J.A., Alberton, B., Morellato, L.P.C., da S.Torres, R., Plant species identification with phenological visual rhythms (2013) IEEE International Conference on eScience (eScience'13), pp. 148-154 | |
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dc.description | Almeida, J., dos Santos, J.A., Alberton, B., da S.Torres, R., Morellato, L.P.C., Applying machine learning based on multiscale classifiers to detect remote phenology patterns in cerrado savanna trees (2014) Ecol. Inform., 23, pp. 49-61 | |
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dc.language | en | |
dc.publisher | Elsevier | |
dc.relation | Ecological Informatics | |
dc.rights | fechado | |
dc.source | Scopus | |
dc.title | Deriving Vegetation Indices For Phenology Analysis Using Genetic Programming | |
dc.type | Artículos de revistas | |