| Grant number: | 15/02105-0 |
| Support Opportunities: | Scholarships in Brazil - Master |
| Start date: | April 01, 2015 |
| End date: | May 31, 2017 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Agreement: | Microsoft Research |
| Principal Investigator: | Ricardo da Silva Torres |
| Grantee: | Alexandre Esteves Almeida |
| Host Institution: | Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Company: | Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) |
| Associated research grant: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes, AP.PITE |
| Associated scholarship(s): | 16/08085-3 - A tool based on time series-extracted artifacts for definition of ecology measures, BE.EP.MS |
Abstract This master research will be dedicated to addressing the first part of question I (see post-doc work summary). It will focus on detecting changes and/or breakpoints along vegetation time series using mining algorithms such as the BFAST software. This sort of time series based method has been developed to detect three different types of breaks: 1) seasonal changes, e.g., changes in vegetation phenology driven by temperature or rainfall, without necessarily affecting the underlying trend component; 2) gradual changes, which may persist or reverse over time, i.e., may define a trend break (e.g., land degradation or long terms drought effects); 3) depending on the magnitude as well as the change in direction, this trend break may define abrupt changes (e.g., floods, deforestation events or fires). (AU) | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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