A5025161605- Oil Spill Detection and Mitigation
- Marine and coastal ecosystems
- Toxic Organic Pollutants Impact
- Geochemistry and Geologic Mapping
- Oceanographic and Atmospheric Processes
- Landslides and related hazards
- Geological Modeling and Analysis
- Air Quality Monitoring and Forecasting
- Geography and Environmental Studies
- Water Quality Monitoring and Analysis
- Satellite Image Processing and Photogrammetry
- Color Science and Applications
- Marine Biology and Ecology Research
- Remote-Sensing Image Classification
- Geological and Geophysical Studies
- Soil Geostatistics and Mapping
- Geophysical Methods and Applications
- Microplastics and Plastic Pollution
- Infrared Target Detection Methodologies
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Medical Image Segmentation Techniques
- Reservoir Engineering and Simulation Methods
Petrobras (Brazil)
2005-2021
Pontifical Catholic University of Rio de Janeiro
2009
Remote sensing techniques offer useful tools for estimating forest biomass to large extent, thereby contributing the monitoring of land use and landcover dynamics effectiveness environmental policies. The main goal this study was investigate potential discrete return light detection ranging (lidar) data produce accurate aboveground (AGB) maps mangrove forests. AGB estimated in 34 small plots scatted over a 50 km2 Rio de Janeiro, Brazil. Plot computed using either species-specific or...
Comparisons between in situ measurements of surface chlorophyll-a concentration (CHL) and ocean color remote sensing estimates were conducted during an oceanographic cruise on the Brazilian Southeastern continental shelf slope, Southwestern South Atlantic. In values based fluorometry, above-water radiometry lidar fluorosensor. Three empirical algorithms used to estimate CHL from radiometric measurements: Ocean Chlorophyll 3 bands (OC3M(RAD)), 4 (OC4v4(RAD)), 2 (OC2v4(RAD)). The satellite...
Polarimetric synthetic aperture radars (PolSAR) have been used to detect oil slicks at the sea surface. Different techniques extract information from polarimetric data, using an adequate statistical distribution are currently available. A region-based classifier for PolSAR data - named PolClass uses a supervised approach compare stochastic distances between scaled complex Wishart distributions and hypothesis tests associate confidence levels into classification results. In this paper,...
This paper describes the application of remote sensing data for oil spill monitoring in Guanabara Bay, Rio de Janeiro, Brazil. During emergency, Landsat-5/TM (Thematic Mapper) and Radarsat-1 were acquired to monitor location its movement. Image classification procedures have been utilized highlight oil-covered areas on water surface. Ambiguities detection resolved with aid ancillary information a GIS (geographic system) environment. The results obtained helped PETROBRAS optimize emergency...
AbstractThis study presents a combined use of multi-sensor remote sensing and in situ data for the analysis interpretation oceanic features observed at continental shelf slope Campos Basin, south-eastern Brazil. Ocean colour (SeaWiFS), thermal infrared (AVHRR), scatterometer winds (QuikSCAT) SAR (Radarsat-1) were integrated to associate different backscatter patterns with physical biological processes. The interpreted included processes such as fronts, current meandering eddies, upwelling...
A diversified database was used for investigating the major factors controlling distribution of hydrocarbon microseepage in region Tonã Plateau, North Tucano sedimentary basin, Brazil. Visual analysis this suggested existence spatial relationships between anomalous geochemical soil gas data with rift faults, lithologic contact, and groundwater discharge areas. As a result, geologic model proposed. According to model, faults constitute primary pathways upward migration gaseous hydrocarbons...
An automatic classification procedure was developed able to identify different oceanic events, detectable in orbital radar images. The customized be used the southeastern Brazilian coast, since training and test examples extracted from 402 RADARSAT-1 images acquired this region. Different sets of spectral, geometric contextual (meteo-oceanographic location) features selected low backscatter patches were evaluated. Machine learning procedures (neural networks, decision trees support vector...
ABSTRACT Since May 2001 PETROBRAS is using spaceborne multi-sensor remote sensing for its sea surface monitoring program at the Campos, Santos and Espirito Santo Basins, southeastern Brazilian coast. This area presently responsible about 80% of all oil gas production. Ocean color (SeaWiFS MODIS), thermal infrared (NOAA/AVHRR), scatterometer (QuikSCAT) Synthetic Aperture Radar (RADARSAT-1 ENVISAT) data were integrated in order to detect characterize different sorts marine pollution...
A PETROBRAS vem utilizando múltiplos sensores orbitais para o monitoramento da superfície do mar nas regiões das Bacias de Campos, Santos e Espírito Santo, costa sudeste brasileira. Dados cor oceano (SeaWiFS MODIS), dados adquiridos no infravermelho termal (NOAA/AVHRR), escaterômetro (QuikSCAT) radares abertura sintética (RADARSAT-1 ASAR/ENVISAT) são integrados a detecção caracterização diferentes tipos poluição marinha fenômenos meteo-oceanográficos. O processamento entrega dos radar em...
A new region based classifier for polarimetric synthetic aperture radar data (PolSAR) was tested to evaluate its potential discriminate different types of oil slicks at sea surface. This uses a supervised approach compare stochastic distances between complex Wishart distributions and hypothesis tests associate confidence levels the classification results. The preliminary results using Battacharyya distance were promising, returning an overall accuracy 90.61% significance level 5%. Future...
ABSTRACT This paper presents an overview of the experience on oil spill impact assessment, preparedness and response, including scientific forensic approaches. The incidents in Guanabara Bay (2...
During the oil spills response actions, rapid location and mapping of slicks at sea surface is needed, as well characterization different types oils, avoiding false alarms whenever possible. In this way, all information provided by remote sensors can be useful to improve strategies cleanup oceanic regions protect vulnerable coastal areas, minimizing possible environmental damages. Synthetic Aperture Radars (SAR) are widely used for purpose, due their potential systematic data acquisition...
Abstract Since May 2001 PETROBRAS is using spaceborne multi-sensor remote sensing for its sea surface monitoring program at the Campos, Santos and Espírito Santo Basins, southeastern Brazilian coast. Ocean color (SeaWiFS MODIS), thermal infrared (NOAA/AVHRR), scatterometer (QuikSCAT) Synthetic Aperture Radar (RADARSAT-1 ENVISAT) data were integrated in order to detect characterize different sorts of marine pollution meteo-oceanographic phenomena. The near real time processing delivery SAR...
ABSTRACT The rupture of a pipeline transporting hydrocarbons at high temperature caused the spill 1,300 m3 fuel oil near Guanabara Bay shoreline, on January 18, 2000. Immediately after accident, an emergency effort was undertaken to obtain satellite images in order monitor spill's location and movement. One Landsat-5/TM (Thematic Mapper) 15 Radarsat-1 were acquired This paper describes results obtained with interpretation first three spill. low frequency acquisition prevailing cloud cover...
O objetivo do estudo foi propor um procedimento de detecção mudanças, a partir mapeamento da cobertura terra, para o monitoramento mensal faixa dutos, com imagens alta resolução espacial. Selecionou-se trecho dutos Rio Janeiro-Belo Horizonte (largura 400m e 30,7km extensão), localizado em Duque Caxias Nova Iguaçu - RJ. Foram utilizadas seis GeoEye (Janeiro Junho/2010) elaborado mapa inicial terra interpretação visual imagem janeiro. As áreas mudanças foram identificadas por álgebra...
This paper presents some results using a series of satellite and airborne sensors to monitor the environmental conditions an oceanic area in SW South Atlantic off Brazil. The following were used: RADARSAT-1, VNIR- TIR/ASTER Terra, WFI-CCD/CBERS, OrbiSAR-1 R99 SAR/SIPAM. analysis presented refers data collected during occurrence large meso-scale Brazil Current frontal eddy concurrent but uncommon sea floor oil seep event. surface expression was captured by eddy. integrated set showed that...
Comparisons between<i> in situ</i> measurements of surface chlorophyll concentration (CHL) and ocean color remote sensing estimates were conducted during an oceanographic cruise the Brazilian Southeastern continental shelf slope November 2004. <i>In based on fluorometry, above-water radiometry lidar fluorosensor. Three empirical algorithms used to estimate <i>a</i> from radiometric measurements: Ocean Chlorophyll 3 bands (OC3M), 4 (OC4v4), 2 (OC2v4). The satellite chlorophyll<i> a</i>...
This study presents a combined use of multi-sensor remote sensing and in situ data for the analysis interpretation oceanic features observed at continental shelf slope Campos Basin, southeastern Brazilian coast. Ocean color (SeaWiFS), thermal infrared (AVHRR), scatterometer (QuikSCAT) SAR (Radarsat-1) were integrated order to associate different backscatter patterns physical biological forcing processes. The interpreted feature included processes such as fronts, meandering eddies, upwelling...
The Canto do Amaro field is the largest actively producing onshore hydrocarbon reservoir in Brazil, and has been operation since its discovery 1985. A total of 30 COSMO-SkyMed SAR images acquired over a period 15 months were processed for this analysis order to demonstrate capabilities InSAR technology monitoring surface deformation measurements an oil field. Currently, undergoing recovery stimulation (EOR) activities with aim increasing production. For reason, Petrobras started evaluate use...