Identifying temporal changes in tropical South American vegetation: a breakpoint detection approach

• 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)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, JUL 2020. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

ALMEIDA, ALEXANDRE E.; TORRES, RICARDO DA S.. Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 9, p. 1499-1503, SEP 2017. (14/50715-9, 13/50155-0, 14/12236-1, 15/02105-0, 13/50169-1)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S.. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, FEB 2019. (14/50715-9, 16/26170-8, 18/06918-3, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 13/50169-1)

ALMEIDA, ALEXANDRE E.; MENINI, NATHALIA; VERBESSELT, JAN; TORRES, RICARDO DA S.; IEEE. BFAST EXPLORER: AN EFFECTIVE TOOL FOR TIME SERIES ANALYSIS. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 15/02105-0, 15/24494-8, 14/50715-9, 16/26170-8, 16/08085-3)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; OLIVEIRA, RAFAEL S.; VERBESSELT, JAN; HIROTA, MARINA; TORRES, RICARDO DA S.. Tucuma A toolbox for spatiotemporal remote sensing image analysis. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, v. 7, n. 3, p. 13-pg., 2019-09-01. (13/50169-1, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 18/06918-3, 14/50715-9, 16/26170-8, 16/08085-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ALMEIDA, Alexandre Esteves. Componentes e pontos de quebra em séries temporais na análise de imagens de sensoriamento remoto. 2017. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Computação Campinas, SP.