A tool based on time series-extracted artifacts for definition of ecology measures

• Grant number: 16/08085-3
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree
• Start date: September 28, 2016
• End date: December 27, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Ricardo da Silva Torres
• Grantee: Alexandre Esteves Almeida
• Supervisor: Jan Verbesselt
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: Wageningen University, Netherlands
• Associated to the scholarship: 15/02105-0 - Identifying temporal changes in tropical South American vegetation: a breakpoint detection approach, BP.MS

Abstract

Changes and stability in vegetation are concepts of extreme importance, giving their potential impacts on man and society. Considering the increasing public availability of remote sensing satellite imagery, it is possible to extract relevant temporal data and, then, examine their stability properties and understand how vegetation is changing over time. With this project, we intend to (1) specify and implement a time series mining tool to conduce the definition and the evaluation of stability measures based on information extracted from time series additive components and the detection of changes, and (2) generate thematic maps of the measures. The goal is to support the visualization of mining results that might help addressing relevant questions to the broader multidisciplinary Tribes project (FAPESP Process 2013/50169-1), which comprises studies on tropical biome shifts. After the development of this tool, we expect to integrate it to the candidate's current master's project (FAPESP Process 2015/02105-0).

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

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.; 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)