Rogério Galante Negri
Rogério Galante Negri
UNESP - São José dos Campos
Adresse e-mail validée de
Citée par
Citée par
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil
LHS Rotta, E Alcantara, E Park, RG Negri, YN Lin, N Bernardo, ...
International Journal of Applied Earth Observation and Geoinformation 90, 102119, 2020
An innovative support vector machine based method for contextual image classification
RG Negri, LV Dutra, SJS Sant’Anna
ISPRS journal of photogrammetry and remote sensing 87, 241-248, 2014
Chironomus sancticaroli (Diptera, Chironomidae) as a Sensitive Tropical Test Species in Laboratory Bioassays Evaluating Metals (Copper and Cadmium) and …
CB Dornfeld, S Rodgher, RG Negri, ELG Espíndola, MA Daam
Archives of environmental contamination and toxicology 76, 42-50, 2019
Risk factors associated with mortality in hospitalized patients with COVID-19 during the omicron wave in Brazil
M Colnago, GA Benvenuto, W Casaca, RG Negri, EG Fernandes, ...
Bioengineering 9 (10), 584, 2022
Spectral–spatial-aware unsupervised change detection with stochastic distances and support vector machines
RG Negri, AC Frery, W Casaca, S Azevedo, MA Dias, EA Silva, ...
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 2863-2876, 2020
Inducing contextual classifications with kernel functions into support vector machines
RG Negri, EA Da Silva, W Casaca
IEEE Geoscience and Remote Sensing Letters 15 (6), 962-966, 2018
A new image-based technique for measuring pore size distribution of nonwoven geotextiles
RA e Silva, RG Negri, D de Mattos Vidal
Geosynthetics International 26 (3), 261-272, 2019
Analyzing spatio-temporal land cover dynamics in an atlantic forest portion using unsupervised change detection techniques
GR Sapucci, RG Negri, W Casaca, KG Massi
Environmental Modeling & Assessment 26, 581-590, 2021
Exploring the capability of ALOS PALSAR L-band fully polarimetric data for land cover classification in tropical environments
RG Negri, LV Dutra, C da Costa Freitas, D Lu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
An incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing
MA Dias, EA Silva, SC Azevedo, W Casaca, T Statella, RG Negri
Remote Sensing 12 (1), 43, 2019
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
RG Negri, AC Frery, WB Silva, TSG Mendes, LV Dutra
International journal of digital earth 12 (6), 699-719, 2019
Association between contact with nature and anxiety, stress and depression symptoms: a primary survey in Brazil
A Bressane, RG Negri, I de Brito Junior, LCC Medeiros, ILL Araújo, ...
Sustainability 14 (17), 10506, 2022
Anomalous behaviour detection using one-class support vector machine and remote sensing images: a case study of algal bloom occurrence in inland waters
PHM Ananias, RG Negri
International Journal of Digital Earth 14 (7), 921-942, 2021
Shadow detection using object area-based and morphological filtering for very high-resolution satellite imagery of urban areas
S Azevedo, E Silva, M Colnago, R Negri, W Casaca
Journal of Applied Remote Sensing 13 (3), 036506-036506, 2019
Mapping fire susceptibility in the Brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection
AEO Luz, RG Negri, KG Massi, M Colnago, EA Silva, W Casaca
Remote Sensing 14 (10), 2429, 2022
Examining region-based methods for land cover classification using stochastic distances
RG Negri, LV Dutra, SJS Sant'Anna, D Lu
International Journal of Remote Sensing 37 (8), 1902-1921, 2016
Land cover classification in Amazon using ALOS PALSAR full polarimetric data
LV Dutra, GB Scofield, SRA Neta, RG Negri, C da Costa Freitas, ...
Anais XIV Simpósio Brasileiro de Sensoriamento Remoto, 2009
Comparing support vector machine contextual approaches for urban area classification
RG Negri, LV Dutra, SJS Sant’Anna
Remote Sensing Letters 7 (5), 485-494, 2016
A non-hybrid data-driven fuzzy inference system for coagulant dosage in drinking water treatment plant: machine-learning for accurate real-time prediction
A Bressane, APG Goulart, CP Melo, IG Gomes, AIS Loureiro, RG Negri, ...
Water 15 (6), 1126, 2023
A fully unsupervised machine learning framework for algal bloom forecasting in inland waters using modis time series and climatic products
PHM Ananias, RG Negri, MA Dias, EA Silva, W Casaca
Remote Sensing 14 (17), 4283, 2022
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20