Papers by Alexandre Politano
Sensors, 2009
Comparisons between in situ measurements of surface chlorophyll-a concentration (CHL) and ocean c... more 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 and slope, Southwestern South Atlantic. In situ values were based on fluorometry, above-water radiometry and lidar fluorosensor. Three empirical algorithms were used to estimate CHL from radiometric measurements: Ocean Chlorophyll 3 bands (OC3M RAD ), Ocean Chlorophyll 4 bands (OC4v4 RAD ), and Ocean Chlorophyll 2 bands (OC2v4 RAD ). The satellite estimates of CHL were derived from data collected by the MODerate-resolution Imaging Spectroradiometer (MODIS) with a nominal 1.1 km resolution at nadir. Three algorithms were used to estimate chlorophyll concentrations from MODIS data: one empirical -OC3M SAT , and two semi-analytical -Garver, Siegel, Maritorena version 01 (GSM01 SAT ), and Carder SAT . In the present work, MODIS, lidar and in situ above-water
<title>Measurement of oceanic chlorophyll by LIDAR, MODIS, fluorometry and above-water radiometry</title>
Coastal Ocean Remote Sensing, 2007
Comparisons between in situ measurements of surface chlorophyll concentration (CHL) and ocean col... more Comparisons between in situ measurements of surface chlorophyll concentration (CHL) and ocean color remote sensing estimates were conducted during an oceanographic cruise in the Brazilian Southeastern continental shelf and slope in November 2004. In situ estimates were based on fluorometry, above-water radiometry and lidar fluorosensor. Three empirical algorithms were used to estimate chlorophyll a concentration from radiometric measurements: Ocean Chlorophyll
Simpósio Brasileiro de …
1 Instituto Nacional de Pesquisas Espaciais - INPE Caixa Postal 515 - 12201-970 - São José dos Ca... more 1 Instituto Nacional de Pesquisas Espaciais - INPE Caixa Postal 515 - 12201-970 - São José dos Campos - SP, Brasil {milton, loren, fmr} @dsr.inpe.br ... 2 PETROBRAS/CENPES - Centro de Pesquisas Cidade Universitária, Q.7, Ilha do Fundão - 21949-900 - Rio de Janeiro - ...
Journal of Materials Science, 2008
The vibrational properties of Na atoms and of Na coadsorbed with CO on Ni(111) have been studied ... more The vibrational properties of Na atoms and of Na coadsorbed with CO on Ni(111) have been studied by high-resolution electron energy loss spectroscopy. Loss measurements showed a significant weakening of the alkali-substrate bond as a function of the alkali coverage. Moreover, we found that coadsorbed CO molecules dramatically influence the vibrational properties of Na adatoms. The Na-Ni stretching frequency (22 meV) measured on the Na/Ni(111) system shifted down to 13 meV for the (Na + CO)/Ni(111) surface. This unexpected result was ascribed to a charge transfer from Na to CO. Present findings give new insights on the nature of the alkalisubstrate and alkali-CO bond.
2007 Ieee International Geoscience and Remote Sensing Symposium, 2007
This paper presents some results using a series of satellite and airborne sensors to monitor the ... more This paper presents some results using a series of satellite and airborne sensors to monitor the environmental conditions of an oceanic area in the SW South Atlantic off Brazil. The following sensors were used: RADARSAT-1, VNIR-TIR/ASTER Terra, WFI-CCD/CBERS, OrbiSAR-1 and R99 SAR/SIPAM. The analysis presented refers to the data collected during the occurrence of a large meso-scale Brazil Current frontal eddy and a concurrent but uncommon sea floor oil seep event. The surface expression of the oil seep was captured by the eddy. The integrated data set analysis showed that the availability of this set of images made it possible to obtain spatial and physical details of these two features, which could not have been achieved using solely one single sensor alone.
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
This paper presents some results using a series of satellite and airborne sensors to monitor the ... more This paper presents some results using a series of satellite and airborne sensors to monitor the environmental conditions of an oceanic area in the SW South Atlantic off Brazil. The following sensors were used: RADARSAT-1, VNIR-TIR/ASTER Terra, WFI-CCD/CBERS, OrbiSAR-1 and R99 SAR/SIPAM. The analysis presented refers to the data collected during the occurrence of a large meso-scale Brazil Current frontal eddy and a concurrent but uncommon sea floor oil seep event. The surface expression of the oil seep was captured by the eddy. The integrated data set analysis showed that the availability of this set of images made it possible to obtain spatial and physical details of these two features, which could not have been achieved using solely one single sensor alone.
Automatic recognition of coastal and oceanic environmental events with orbital radars
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Abstract An automatic classification procedure was developed able to identify different oceanic ... more Abstract An automatic classification procedure was developed able to identify different oceanic events, detectable in orbital radar images. The procedure was customized to be used in the southeastern Brazilian coast, since the classification training and test used examples extracted from ...
A classification procedure using machine learning a lgorithms was developed to identify different... more A classification procedure using machine learning a lgorithms was developed to identify different types of pollution and meteo-oceanographic events, detected in SAR (Synthetic Aperture Radar) images. The classification is done in two steps: first the feat ures area classified in one of two classes - oil po llution or meteo- oceanographic event. In the second step, the identi fication of
<title>Measurement of oceanic chlorophyll by LIDAR, MODIS, fluorometry and above-water radiometry</title>
Coastal Ocean Remote Sensing, 2007
Comparisons between in situ measurements of surface chlorophyll concentration (CHL) and ocean col... more Comparisons between in situ measurements of surface chlorophyll concentration (CHL) and ocean color remote sensing estimates were conducted during an oceanographic cruise in the Brazilian Southeastern continental shelf and slope in November 2004. In situ estimates were based on fluorometry, above-water radiometry and lidar fluorosensor. Three empirical algorithms were used to estimate chlorophyll a concentration from radiometric measurements: Ocean Chlorophyll
Offshore Oil-Spill Detection and Monitoring In E&P Areas - An Operacional Multisensors Approach
Proceedings of SPE International Health, Safety & Environment Conference, 2006
Sensors, 2009
Comparisons between in situ measurements of surface chlorophyll-a concentration (CHL) and ocean c... more 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 and slope, Southwestern South Atlantic. In situ values were based on fluorometry, above-water radiometry and lidar fluorosensor. Three empirical algorithms were used to estimate CHL from radiometric measurements: Ocean Chlorophyll 3 bands (OC3M RAD ), Ocean Chlorophyll 4 bands (OC4v4 RAD ), and Ocean Chlorophyll 2 bands (OC2v4 RAD ). The satellite estimates of CHL were derived from data collected by the MODerate-resolution Imaging Spectroradiometer (MODIS) with a nominal 1.1 km resolution at nadir. Three algorithms were used to estimate chlorophyll concentrations from MODIS data: one empirical -OC3M SAT , and two semi-analytical -Garver, Siegel, Maritorena version 01 (GSM01 SAT ), and Carder SAT . In the present work, MODIS, lidar and in situ above-water
Coastal Ocean Remote Sensing (Proceedings Volume)
In order to retrieve ocean color from satellite imagery, one must perform atmospheric correction,... more In order to retrieve ocean color from satellite imagery, one must perform atmospheric correction, because when observed from space the ocean signature is weak compared with the strong atmospheric signal. The color of the ocean depends on its optically active constituents: water molecules, dissolved matter, and particulate matter. In the open ocean, the color is mainly due to water molecules and phytoplankton, whereas in the coastal zone, the color also results from the presence of sediments and colored dissolved organic ...
Lessons Learned On Oil Spill Environment Impact Assessment: 10 Years of Petrobras Experience Review
International Oil Spill Conference Proceedings, 2011
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Papers by Alexandre Politano