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Theoretical advances on anomaly detection and environmental monitoring systems building

Grant number: 21/01305-6
Support Opportunities:Regular Research Grants
Duration: September 01, 2021 - August 31, 2023
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Rogério Galante Negri
Grantee:Rogério Galante Negri
Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Estadual Paulista (UNESP). Campus de São José dos Campos. São José dos Campos , SP, Brazil
Associated researchers:Alejandro César Frery Orgambide ; Avik Bhattacharya ; Paolo Ettore Gamba ; Wallace Correa de Oliveira Casaca


Disasters have become frequent in recent years and have motivated the development of new methods and tools for systematic monitoring of areas and other factors that may imply risks to society. Remote Sensing rises as an indispensable technology for applications related to environmental monitoring. Its use combined with Machine Learning techniques, especially anomaly detection methods, allows identifying the spatial dynamics/changes over time. In this context, this research project focuses on developing new anomaly detection methods able to provide competitive results compared to the usual alternatives. Furthermore, this research's theoretical advances will be used to implement environmental monitoring systems prototypes applied to deforestation, burns, water eutrophication, dam collapse prevention, and exotic vegetation species management. (AU)

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Scientific publications (19)
(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)
LUZ, ANDREA ELIZA O.; NEGRI, ROGERIO G.; MASSI, KLECIA G.; COLNAGO, MARILAINE; SILVA, ERIVALDO A.; CASACA, WALLACE. Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection. REMOTE SENSING, v. 14, n. 10, p. 17-pg., . (21/03328-3, 21/01305-6)
GODOY, LUIZ GUSTAVO RODRIGUES; NEGRI, ROGERIO GALANTE; DE JESUS AMORE, DIOGO. Thresholding process on the dissimilarities between probability models for change detection on remote sensing data. JOURNAL OF APPLIED REMOTE SENSING, v. 16, n. 1, p. 16-pg., . (18/01033-3, 21/01305-6, 18/25806-1)
BENVENUTO, GIOVANA A.; COLNAGO, MARILAINE; DIAS, MAURICIO A.; NEGRI, ROGERIO G.; SILVA, ERIVALDO A.; CASACA, WALLACE. A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration. BIOENGINEERING-BASEL, v. 9, n. 8, p. 17-pg., . (13/07375-0, 21/01305-6, 19/26288-7, 21/03328-3)
ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; DIAS, MAURICIO A.; SILVA, ERIVALDO A.; CASACA, WALLACE. A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products. REMOTE SENSING, v. 14, n. 17, p. 22-pg., . (21/03328-3, 21/01305-6, 16/24185-8)
MARINHO, GIOVANNA CARREIRA; MARCILIO JUNIOR, WILSON ESTECIO; DIAS, MAURICIO ARAUJO; ELER, DANILO MEDEIROS; NEGRI, ROGERIO GALANTE; CASACA, WALLACE. Dimensionality Reduction and Anomaly Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces. REMOTE SENSING, v. 15, n. 16, p. 24-pg., . (16/24185-8, 21/03328-3, 20/06477-7, 21/01305-6)
DIAS, MAURICIO ARAUJO; MARINHO, GIOVANNA CARREIRA; NEGRI, ROGERIO GALANTE; CASACA, WALLACE; MUNOZ, IGNACIO BRAVO; ELER, DANILO MEDEIROS. A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. REMOTE SENSING, v. 14, n. 9, p. 38-pg., . (20/06477-7, 21/01305-6, 16/24185-8, 21/03328-3)
NEGRI, ROGERIO G.; LUZ, ANDREA E. O.; FRERY, ALEJANDRO C.; CASACA, WALLACE; IEEE. Fire Detection with Multitemporal Multispectral Data and a Probabilistic Unsupervised Technique. 2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS, v. N/A, p. 4-pg., . (21/03328-3, 21/01305-6)
ARAUJO, BRUNO MUNHOZ; NEGRI, ROGERIO GALANTE; MORAES ANANIAS, PEDRO HENRIQUE; BRESSANE, ADRIANO; RODGHER, SUZELEI. Remotely sensed-based analysis about climatic and landscape change effects on phytoplankton bloom in Barra Bonita Reservoir (Sao Paulo State, Brazil). JOURNAL OF APPLIED REMOTE SENSING, v. 17, n. 1, p. 19-pg., . (21/01305-6)
GINO, VINICIUS L. S.; NEGRI, ROGERIO G.; SOUZA, FELIPE N.; SILVA, ERIVALDO A.; BRESSANE, ADRIANO; MENDES, TATIANA S. G.; CASACA, WALLACE. Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series. SUSTAINABILITY, v. 15, n. 6, p. 19-pg., . (21/03328-3, 21/01305-6)
PARRA, LARISSA M. P.; SANTOS, FABRICIA C.; NEGRI, ROGERIO G.; COLNAGO, MARILAINE; BRESSANE, ADRIANO; DIAS, MAURICIO A.; CASACA, WALLACE. Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest sanctuary for Jaguars. EARTH SCIENCE INFORMATICS, v. N/A, p. 11-pg., . (21/03328-3, 16/24185-8, 21/01305-6)
HOSSAKI, VITOR Y.; SERON, WILSON F. M. S.; NEGRI, ROGERIO G.; LONDE, LUCIANA R.; TOMAS, LIVIA R.; BACELAR, ROBERTA B.; ANDRADE, SIDGLEY C.; SANTOS, LEONARDO B. L.. Physical- and Social-Based Rain Gauges-A Case Study on Urban Flood Detection. GEOSCIENCES, v. 13, n. 4, p. 11-pg., . (21/01305-6)
FONSECA, RODNEY V.; NEGRI, ROGERIO G.; PINHEIRO, ALUISIO; ATTO, ABDOURRAHMANE MAHAMANE. Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 16, p. 11-pg., . (21/04513-9, 18/04654-9, 16/24469-6, 21/01305-6)
COLNAGO, MARILAINE; BENVENUTO, GIOVANA A.; CASACA, WALLACE; NEGRI, ROGERIO G.; FERNANDES, EDER G.; CUMINATO, JOSE A.. Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil. BIOENGINEERING-BASEL, v. 9, n. 10, p. 11-pg., . (21/03328-3, 13/07375-0, 21/01305-6)
BRUZADIN, ALDIMIR; BOAVENTURA, MAURILIO; COLNAGO, MARILAINE; NEGRI, ROGERIO GALANTE; CASACA, WALLACE. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing, v. 522, p. 15-pg., . (21/03328-3, 13/07375-0, 21/01305-6)
NEGRI, ROGERIO G.; LUZ, ANDREA E. O.; FRERY, ALEJANDRO C.; CASACA, WALLACE. Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised Learning. REMOTE SENSING, v. 14, n. 21, p. 20-pg., . (21/01305-6, 21/03328-3)
NEGRI, ROGERIO G.; FRERY, ALEJANDRO C.. A general and extensible framework for assessing change detection techniques. Computers & Geosciences, v. 178, p. 10-pg., . (18/01033-3, 21/01305-6)
ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; BRESSANE, ADRIANO; DIAS, MAURICIO A.; SILVA, ERIVALDO A.; CASACA, WALLACE. ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series. SOFTWARE IMPACTS, v. 17, p. 3-pg., . (21/03328-3, 16/24185-8, 21/01305-6)
ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; BRESSANE, ADRIANO; COLNAGO, MARILAINE; CASACA, WALLACE. ABD: A machine intelligent-based algal bloom detector for remote sensing images. SOFTWARE IMPACTS, v. 15, p. 3-pg., . (21/03328-3, 21/01305-6)

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