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In a geological study, an important step is to determine the type of sedimentary rock or its grain size. Such a determination requires accurate analysis in the field or in a laboratory. As the size of the study area grows, this activity can be time consuming and error prone because the number of specialists working under rigid criteria also increases. This paper proposes a novel methodology to classify grain size using unique wavelength reflectance data and artificial neural networks. The results indicate that the proposed method can be reliably used in the field.
Rodrigo Marques Figueiredo; Mauricio Roberto Veronez; Francisco Manoel Wohnrath; Marcio Rosa Da Silva; Luiz Gonzaga; Lucas Kupssinskü; Fabiane Bordin; Diego Brum; Caroline Lessio Cazarin. Artificial neural network–based method to classify sedimentary rocks. 2018 12th International Conference on Sensing Technology (ICST) 2018, 282 -286.
AMA StyleRodrigo Marques Figueiredo, Mauricio Roberto Veronez, Francisco Manoel Wohnrath, Marcio Rosa Da Silva, Luiz Gonzaga, Lucas Kupssinskü, Fabiane Bordin, Diego Brum, Caroline Lessio Cazarin. Artificial neural network–based method to classify sedimentary rocks. 2018 12th International Conference on Sensing Technology (ICST). 2018; ():282-286.
Chicago/Turabian StyleRodrigo Marques Figueiredo; Mauricio Roberto Veronez; Francisco Manoel Wohnrath; Marcio Rosa Da Silva; Luiz Gonzaga; Lucas Kupssinskü; Fabiane Bordin; Diego Brum; Caroline Lessio Cazarin. 2018. "Artificial neural network–based method to classify sedimentary rocks." 2018 12th International Conference on Sensing Technology (ICST) , no. : 282-286.
Over the last two decades, rapid technological evolution has brought several advanced solutions for applications in various knowledge areas. Geotechnologies have allowed geoscientists to acquire vast amounts of spatialized digital data, producing equally large data sets. Light detection and ranging (lidar) technology, especially terrestrial laser scanners (TLSs), and the more recent reconstruction techniques that use multiple digital images have enabled geoscientists to improve the quality of their analyses and interpretations through digital outcrop models (DOMs) [1], [18]-[20]. The DOMs, also called virtual outcrops (VOs) [2], are a digital representation of data collected from surfaces that can be inspected, handled, and interpreted. From a geological point of view, outcrops provide an intermediary approach between the kilometric and millimetric work scales, and field data acquisition is often underexplored. Therefore, DOMs have become an intriguing way of integrating surface and subsurface data. This intermediary work scale allows for the acquisition of considerably more data using remote sensors, such as laser scanners, and photogrammetry algorithms, which produce a quality that is similar if not superior to standard field equipment. The high accuracy of the DOMs facilitates the recognition and interpretation of structures and features within a realistic three-dimensional (3-D) scenario [1], [3], [4].
Luiz Gonzaga; Mauricio Roberto Veronez; Gabriel Lanzer Kannenberg; Demetrius Nunes Alves; Leonardo Gomes Santana; Jean Luca De Fraga; Leonardo Campos Inocencio; Lais Vieira De Souza; Fernando Marson; Fabiane Bordin; Francisco Tognoli; Kim Senger; Caroline Lessio Cazarin. A Multioutcrop Sharing and Interpretation System: Exploring 3-D Surface and Subsurface Data. IEEE Geoscience and Remote Sensing Magazine 2018, 6, 8 -16.
AMA StyleLuiz Gonzaga, Mauricio Roberto Veronez, Gabriel Lanzer Kannenberg, Demetrius Nunes Alves, Leonardo Gomes Santana, Jean Luca De Fraga, Leonardo Campos Inocencio, Lais Vieira De Souza, Fernando Marson, Fabiane Bordin, Francisco Tognoli, Kim Senger, Caroline Lessio Cazarin. A Multioutcrop Sharing and Interpretation System: Exploring 3-D Surface and Subsurface Data. IEEE Geoscience and Remote Sensing Magazine. 2018; 6 (2):8-16.
Chicago/Turabian StyleLuiz Gonzaga; Mauricio Roberto Veronez; Gabriel Lanzer Kannenberg; Demetrius Nunes Alves; Leonardo Gomes Santana; Jean Luca De Fraga; Leonardo Campos Inocencio; Lais Vieira De Souza; Fernando Marson; Fabiane Bordin; Francisco Tognoli; Kim Senger; Caroline Lessio Cazarin. 2018. "A Multioutcrop Sharing and Interpretation System: Exploring 3-D Surface and Subsurface Data." IEEE Geoscience and Remote Sensing Magazine 6, no. 2: 8-16.
This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics obtained through different unmanned aerial vehicle (UAV) data processing software covering an area located within Universidade do Vale do Rio dos Sinos - UNISINOS in São Leopoldo, RS. A total of nine ground control points (GCP) and twenty checkpoints were surveyed in order register and classify the processed orthomosaics according to the cartographic accuracy standard - Padrão de Exatidão Cartográfica (PEC). Four software was employed to process the UAV data: Pix4D mapper, Agisoft PhotoScan, Menci APS and Bentley Context Capture. The results obtained from each software were compared and identified the smallest distortions when processing with and without ground control points. The flight was executed at a height of 90m with 60% sidelap and 80% overlap using an ST800 UAV equipped with a Sony NEX-7 small format non-metric camera with 24 megapixels resolution. The software GeoPEC was used to classify the orthomosaics according to PEC. For data processed with ground control points all orthomosaics were classified “Class A” in 1/500 scale, however, only Menci APS did not present a trend line via t-student test. On the other hand, Menci APS presented the worst results without the ground control points. In processing with GCP, all orthomosaics obtained optimum results with an approximated error of 2,5 m 2 , about 0.03% of the area.
Gabriel Soares; Leonardo Campos Inocencio; Mauricio Roberto Veronez; Luiz Gonzaga Da Silveira; Fabiane Bordin; Fernando Pinho Marson. Analysis of Positional and Geometric Accuracy of Objects in Survey with Unmanned Aerial Vehicle (UAV). IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018, 5693 -5696.
AMA StyleGabriel Soares, Leonardo Campos Inocencio, Mauricio Roberto Veronez, Luiz Gonzaga Da Silveira, Fabiane Bordin, Fernando Pinho Marson. Analysis of Positional and Geometric Accuracy of Objects in Survey with Unmanned Aerial Vehicle (UAV). IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. 2018; ():5693-5696.
Chicago/Turabian StyleGabriel Soares; Leonardo Campos Inocencio; Mauricio Roberto Veronez; Luiz Gonzaga Da Silveira; Fabiane Bordin; Fernando Pinho Marson. 2018. "Analysis of Positional and Geometric Accuracy of Objects in Survey with Unmanned Aerial Vehicle (UAV)." IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium , no. : 5693-5696.
Bridges arose with the intention to facilitate the urban mobility. Therefore, it is essential the realization of periodic inspections and preventive maintenance, in order to identify possible pathological manifestations. Nowadays the techniques used are based on visual inspection, which the main problem is accessibility to all places in the bridge. In this sense, it is search other methods that can help these inspections, such as the use of unmanned aerial vehicles (VANTs) and multi and hyperspectral images. The methodology of the work consisted on the analysis of the current methods of inspection and identification of its requirements to compose solutions using the remote acquisition system. The inspection with this system ensures agility and security, as well as aid in the interpretation and analysis for the diagnosis of pathological manifestations.
Édina Regina Rauber; Fabiane Bordin; Mônica Müller Anschau; Mauricio Roberto Veronez; Luiz Gonzaga Jr; Carlo Framarim. Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à inspeção de obras de arte especiais. Revista Brasileira de Geomática 2018, 6, 44 -61.
AMA StyleÉdina Regina Rauber, Fabiane Bordin, Mônica Müller Anschau, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Carlo Framarim. Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à inspeção de obras de arte especiais. Revista Brasileira de Geomática. 2018; 6 (1):44-61.
Chicago/Turabian StyleÉdina Regina Rauber; Fabiane Bordin; Mônica Müller Anschau; Mauricio Roberto Veronez; Luiz Gonzaga Jr; Carlo Framarim. 2018. "Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à inspeção de obras de arte especiais." Revista Brasileira de Geomática 6, no. 1: 44-61.
The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to improve the teaching learning process of the Transport Infrastructure undergraduate course. The driving simulator that was developed in a virtual reality environment to assist both the teaching of engineering and the research on road safety. An experiment was conducted in Transport Infrastructure 1 course for Civil Engineering students in a Brazilian university. The students developed a geometric design of a road that was posteriorly modeled in 3D and provided in simulator. Students piloted a vehicle in the immersive simulator in the same road that they designed. Subsequently the usability of the system was assessed by the SUS metric (System Usability Scale). We performed an evaluation with 52 users and the SUS metric that we found was of 73% assuring a degree of usability above average and demonstrating that the immersive system is good to be used as a complementary tool in the learning of transport infrastructure.
Mauricio R. Veronez; Luiz Gonzaga; Fabiane Bordin; Lucas Kupssinsku; Gabriel Lanzer Kannenberg; Tiago Duarte; Leonardo G. Santana; Lean Luca De Fraga; Demetrius Nunes Alves; Fernando Pinho Marson. RIDERS: Road Inspection & Driver Simulation. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2018, 715 -716.
AMA StyleMauricio R. Veronez, Luiz Gonzaga, Fabiane Bordin, Lucas Kupssinsku, Gabriel Lanzer Kannenberg, Tiago Duarte, Leonardo G. Santana, Lean Luca De Fraga, Demetrius Nunes Alves, Fernando Pinho Marson. RIDERS: Road Inspection & Driver Simulation. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2018; ():715-716.
Chicago/Turabian StyleMauricio R. Veronez; Luiz Gonzaga; Fabiane Bordin; Lucas Kupssinsku; Gabriel Lanzer Kannenberg; Tiago Duarte; Leonardo G. Santana; Lean Luca De Fraga; Demetrius Nunes Alves; Fernando Pinho Marson. 2018. "RIDERS: Road Inspection & Driver Simulation." 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) , no. : 715-716.
Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for modeling petroleum reservoir analogues. Beyond the benefits of digital data itself, computer systems employed by geoscientists for interpretation and modeling tasks provide high quality rendering, point clouds surface meshes and photo-realistic textured models. But these systems, commonly, have used 2-D display, the 3-D models and information are projected on the screen, providing a limited visualization and restrictive toolset for interpretation. This work proposes to break this paradigm by developing a fully immersive system capable to virtually teleport the geoscientists to the fieldwork and provide a complete toolset for the outcrop's interpretation. Besides, the system has been evaluated and validated by geologists with different skills and it has emerged as an useful and attractive toolset for Oil&Gas industry.
Luiz Gonzaga; Fernando Marson; Fabiane Bordin; Francisco M.W. Tognoli; Mauricio RobertoVeronez; Gabriel Lanzer Kannenberg; Demetrius Nunes Alves; Caroline Lessio Cazarin; Leonardo Gomes Santana; Jean Luca De Fraga; Leonardo C. Inocencio; Lais Vieira De Souza. Immersive Virtual Fieldwork: Advances for the Petroleum Industry. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2018, 561 -562.
AMA StyleLuiz Gonzaga, Fernando Marson, Fabiane Bordin, Francisco M.W. Tognoli, Mauricio RobertoVeronez, Gabriel Lanzer Kannenberg, Demetrius Nunes Alves, Caroline Lessio Cazarin, Leonardo Gomes Santana, Jean Luca De Fraga, Leonardo C. Inocencio, Lais Vieira De Souza. Immersive Virtual Fieldwork: Advances for the Petroleum Industry. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2018; ():561-562.
Chicago/Turabian StyleLuiz Gonzaga; Fernando Marson; Fabiane Bordin; Francisco M.W. Tognoli; Mauricio RobertoVeronez; Gabriel Lanzer Kannenberg; Demetrius Nunes Alves; Caroline Lessio Cazarin; Leonardo Gomes Santana; Jean Luca De Fraga; Leonardo C. Inocencio; Lais Vieira De Souza. 2018. "Immersive Virtual Fieldwork: Advances for the Petroleum Industry." 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) , no. : 561-562.
Water quality monitoring through remote sensing with UAVs is best conducted using multispectral sensors; however, these sensors are expensive. We aimed to predict multispectral bands from a low-cost sensor (R, G, B bands) using artificial neural networks (ANN). We studied a lake located on the campus of Unisinos University, Brazil, using a low-cost sensor mounted on a UAV. Simultaneously, we collected water samples during the UAV flight to determine total suspended solids (TSS) and dissolved organic matter (DOM). We correlated the three bands predicted with TSS and DOM. The results show that the ANN validation process predicted the three bands of the multispectral sensor using the three bands of the low-cost sensor with a low average error of 19%. The correlations with TSS and DOM resulted in R2 values of greater than 0.60, consistent with literature values.
Maurício R. Veronez; Lucas S. Kupssinskü; Tainá T. Guimarães; Emilie C. Koste; Juarez M. Da Silva; Laís V. De Souza; William F. M. Oliverio; Rogélio S. Jardim; Ismael É. Koch; Jonas G. De Souza; Jr. Luiz Gonzaga; Frederico F. Mauad; Leonardo C. Inocencio; Fabiane Bordin. Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks. Sensors 2018, 18, 159 .
AMA StyleMaurício R. Veronez, Lucas S. Kupssinskü, Tainá T. Guimarães, Emilie C. Koste, Juarez M. Da Silva, Laís V. De Souza, William F. M. Oliverio, Rogélio S. Jardim, Ismael É. Koch, Jonas G. De Souza, Jr. Luiz Gonzaga, Frederico F. Mauad, Leonardo C. Inocencio, Fabiane Bordin. Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks. Sensors. 2018; 18 (1):159.
Chicago/Turabian StyleMaurício R. Veronez; Lucas S. Kupssinskü; Tainá T. Guimarães; Emilie C. Koste; Juarez M. Da Silva; Laís V. De Souza; William F. M. Oliverio; Rogélio S. Jardim; Ismael É. Koch; Jonas G. De Souza; Jr. Luiz Gonzaga; Frederico F. Mauad; Leonardo C. Inocencio; Fabiane Bordin. 2018. "Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks." Sensors 18, no. 1: 159.
In this study, we propose a method to calibrate the laser pulse return intensity of a Terrestrial Laser Scanner (TLS) based on Artificial Neural Networks. The laser pulse return intensity has an important rule on rocks types' classification when using Digital Outcrops Models (DOM) and has been the focus of much research by the geological community as it helps the geological interpretation in outcrops. In our experiment, we used a TLS Ilris 3D model with a wavelength of 1,535 nm. Our method has shown good efficiency for the calibration of the laser pulse return intensity, demonstrating a strong applicability for classification studies of rock types on Digital Outcrops Models.
Rodrigo M. De Figueiredo; Mauricio R. Veronez; Francisco M. W. Tognoli; Marcio R. Da Silva; Fabiane Bordin; Luiz Gonzaga; Ismael Koch; Fernando P. Marson; Ana Paula C. Larocca. Laser scanner intensity calibration based on artificial neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017, 1716 -1719.
AMA StyleRodrigo M. De Figueiredo, Mauricio R. Veronez, Francisco M. W. Tognoli, Marcio R. Da Silva, Fabiane Bordin, Luiz Gonzaga, Ismael Koch, Fernando P. Marson, Ana Paula C. Larocca. Laser scanner intensity calibration based on artificial neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017; ():1716-1719.
Chicago/Turabian StyleRodrigo M. De Figueiredo; Mauricio R. Veronez; Francisco M. W. Tognoli; Marcio R. Da Silva; Fabiane Bordin; Luiz Gonzaga; Ismael Koch; Fernando P. Marson; Ana Paula C. Larocca. 2017. "Laser scanner intensity calibration based on artificial neural networks." 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 1716-1719.
The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable to the fieldwork. The majority of solutions have considered desktop systems, which presents inherent limitations due to the 2-D characteristics of displays and loss of immersion into the 3-D model, or up until expensive and complex stereoscopic based approaches to improve the 3-D user experience do not offer well suitable solutions. To address these limitations, this paper presents a low-cost completely disruptive solution for processing, visualizing, sharing and directly handling Digital Outcrop Models with the support of a full interpretation toolset, the MOSIS System. The proposed system provides a fully immersive computational environment, capable of teleporting virtually geoscientists to the fieldwork, giving an awareness of being there physically with an extensible toolset for the DOM's interpretation. Besides, desktop, web and mobile versions of MOSIS have been under development and fulfill the lack of tools for digital outcrop modeling.
Luiz Gonzaga; Mauricio Roberto Veronez; Demetrius Nunes Alves; Fabiane Bordin; Gabriel Lanzer Kannenberg; Fernando P. Marson; Francisco M.W. Tognoli; Leonardo C. Inocencio. MOSIS — Multi-outcrop sharing & interpretation system. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017, 5209 -5212.
AMA StyleLuiz Gonzaga, Mauricio Roberto Veronez, Demetrius Nunes Alves, Fabiane Bordin, Gabriel Lanzer Kannenberg, Fernando P. Marson, Francisco M.W. Tognoli, Leonardo C. Inocencio. MOSIS — Multi-outcrop sharing & interpretation system. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017; ():5209-5212.
Chicago/Turabian StyleLuiz Gonzaga; Mauricio Roberto Veronez; Demetrius Nunes Alves; Fabiane Bordin; Gabriel Lanzer Kannenberg; Fernando P. Marson; Francisco M.W. Tognoli; Leonardo C. Inocencio. 2017. "MOSIS — Multi-outcrop sharing & interpretation system." 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 5209-5212.
Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction of high-resolution 3-D topography in the field of geosciences. In recent years, laser scanning has been also exploited on rock properties, biomass classification and carbon storage estimation. However, when laser spot collides partially against the target or even against undesirable background objects, part of emitted beam is lost and does not return to the laser station. So, it can introduce fewer discontinuities or even artifacts in the point cloud borders, comprising the results. Assuming an interest in minimizing this border effect, we have proposed a computational postprocessing algorithm which identifies anomalies and discrpancies and minimize it by recovering the expected intensity of returned laser pulse. The proposed technique operates on the basis of the collected point cloud intensity of return pulse, laser scanner's position and signals divergence, without requiring any kind of previous setup or additional accessory to the laser scanner.
Fabricio Galhardo Muller; Luiz Gonzaga; Fabiane Bordin; Mauricio Roberto Veronez; Fernando Marson; Marco Scaioni. A new approach to minimize border effect for terrestrial laser scanning. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017, 1308 -1311.
AMA StyleFabricio Galhardo Muller, Luiz Gonzaga, Fabiane Bordin, Mauricio Roberto Veronez, Fernando Marson, Marco Scaioni. A new approach to minimize border effect for terrestrial laser scanning. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017; ():1308-1311.
Chicago/Turabian StyleFabricio Galhardo Muller; Luiz Gonzaga; Fabiane Bordin; Mauricio Roberto Veronez; Fernando Marson; Marco Scaioni. 2017. "A new approach to minimize border effect for terrestrial laser scanning." 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 1308-1311.
Additional measures of in situ water quality monitoring in natural environments can be obtained through remote sensing because certain elements in water modify its spectral behavior. One of the indicators of water quality is the presence of algae, and the aim of this study was to propose an alternative method for the quantification of chlorophyll in water by correlating spectral data, infrared images, and limnology data. The object of study was an artificial lake located at Unisinos University, São Leopoldo/RS, Brazil. The area has been mapped with a modified NGB (near infrared (N), green (G) and blue (B)) camera coupled to an unmanned aerial vehicle (UAV). From the orthorectified and georeferenced images, a modified normalized difference vegetation index (NDVImod) image has been generated. Additionally, 20 sampling points have been established on the lake. At these points, in situ spectral analysis with a spectroradiometer has been performed, and water samples have been collected for laboratory determination of chlorophyll concentrations. The correlation resulted in two models. The first model, based on the multivariate analysis of spectral data, and the second model, based on polynomial equations from NDVI, had coefficients of determination (R2) of 0.86 and 0.51, respectively. This study confirmed the applicability of remote sensing for water resource management using UAVs, which can be characterized as a quick and easy methodology.
Tainá T. Guimarães; Maurício R. Veronez; Emilie C. Koste; Luiz Gonzaga; Fabiane Bordin; Leonardo C. Inocencio; Ana Paula C. Larocca; Marcelo Z. De Oliveira; Dalva C. Vitti; Frederico F. Mauad. An Alternative Method of Spatial Autocorrelation for Chlorophyll Detection in Water Bodies Using Remote Sensing. Sustainability 2017, 9, 416 .
AMA StyleTainá T. Guimarães, Maurício R. Veronez, Emilie C. Koste, Luiz Gonzaga, Fabiane Bordin, Leonardo C. Inocencio, Ana Paula C. Larocca, Marcelo Z. De Oliveira, Dalva C. Vitti, Frederico F. Mauad. An Alternative Method of Spatial Autocorrelation for Chlorophyll Detection in Water Bodies Using Remote Sensing. Sustainability. 2017; 9 (3):416.
Chicago/Turabian StyleTainá T. Guimarães; Maurício R. Veronez; Emilie C. Koste; Luiz Gonzaga; Fabiane Bordin; Leonardo C. Inocencio; Ana Paula C. Larocca; Marcelo Z. De Oliveira; Dalva C. Vitti; Frederico F. Mauad. 2017. "An Alternative Method of Spatial Autocorrelation for Chlorophyll Detection in Water Bodies Using Remote Sensing." Sustainability 9, no. 3: 416.
P. Gorkos; Fabiane Bordin; M.R. Veronez; A. Santos; J. Santos; Ana Paula C. Larocca. Studying the spectral behavior of concrete for evaluation non-destructively of resistance in situ. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks 2016, 587 -588.
AMA StyleP. Gorkos, Fabiane Bordin, M.R. Veronez, A. Santos, J. Santos, Ana Paula C. Larocca. Studying the spectral behavior of concrete for evaluation non-destructively of resistance in situ. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks. 2016; ():587-588.
Chicago/Turabian StyleP. Gorkos; Fabiane Bordin; M.R. Veronez; A. Santos; J. Santos; Ana Paula C. Larocca. 2016. "Studying the spectral behavior of concrete for evaluation non-destructively of resistance in situ." Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks , no. : 587-588.
B.W. Voigt; Fabiane Bordin; P. Gorkos; M.R. Veronez. Detection of cracks and loss of mass in concrete through 3D point clouds generated by Terrestrial Laser Scanner. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks 2016, 465 -466.
AMA StyleB.W. Voigt, Fabiane Bordin, P. Gorkos, M.R. Veronez. Detection of cracks and loss of mass in concrete through 3D point clouds generated by Terrestrial Laser Scanner. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks. 2016; ():465-466.
Chicago/Turabian StyleB.W. Voigt; Fabiane Bordin; P. Gorkos; M.R. Veronez. 2016. "Detection of cracks and loss of mass in concrete through 3D point clouds generated by Terrestrial Laser Scanner." Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks , no. : 465-466.
Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.
Fabiane Bordin; Luiz Gonzaga Jr; Fabricio Galhardo Muller; Mauricio Roberto Veronez; Marco Scaioni. AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, XLI-B5, 779 -783.
AMA StyleFabiane Bordin, Luiz Gonzaga Jr, Fabricio Galhardo Muller, Mauricio Roberto Veronez, Marco Scaioni. AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; XLI-B5 ():779-783.
Chicago/Turabian StyleFabiane Bordin; Luiz Gonzaga Jr; Fabricio Galhardo Muller; Mauricio Roberto Veronez; Marco Scaioni. 2016. "AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5, no. : 779-783.
Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.
Fabiane Bordin; Luiz Gonzaga Jr; Fabricio Galhardo Muller; Mauricio Roberto Veronez; Marco Scaioni. AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, XLI-B5, 779 -783.
AMA StyleFabiane Bordin, Luiz Gonzaga Jr, Fabricio Galhardo Muller, Mauricio Roberto Veronez, Marco Scaioni. AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; XLI-B5 ():779-783.
Chicago/Turabian StyleFabiane Bordin; Luiz Gonzaga Jr; Fabricio Galhardo Muller; Mauricio Roberto Veronez; Marco Scaioni. 2016. "AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5, no. : 779-783.
Fabiane Bordin. An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data. European Journal of Remote Sensing 2016, 49, 301 -315.
AMA StyleFabiane Bordin. An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data. European Journal of Remote Sensing. 2016; 49 (1):301-315.
Chicago/Turabian StyleFabiane Bordin. 2016. "An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data." European Journal of Remote Sensing 49, no. 1: 301-315.
For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban ecosystem conditions and the environment of the cities undergoing economic growth. Urban green spaces are valuable sources of evapotranspiration, which is generated by trees and vegetation; these spaces mitigate urban heat islands in cities. Land surface temperature (LST) is closely related to the distribution of land-use and land-cover characteristics and can be used as an indicator of urban environment conditions and development. This study evaluates the patterns of LST distribution through time by employing the thermal spatial distribution signature procedure using thermal infrared data obtained from Landsat-5 Thematic Mapper. A set of 18 images, between 1985 and 2010, was used to study the urban environment during summer in 47 neighborhoods of Porto Alegre, Brazil. On a neighborhood scale, results show a non-linear inverse correlation (R² = 0.55) between vegetation index and LST. The overall average of the LST is 300.23 K (27.8 °C) with a standard deviation of 1.25 K and the maximum average difference of 2.83 K between neighborhoods. Results show that the Thermal Spatial Distribution Signature (TSDS) analysis can help multi-temporal studies for the evaluation of UHI through time.
Anibal Gusso; Cristina Cafruni; Fabiane Bordin; Mauricio Roberto Veronez; Leticia Lenz; Sabrina Crija. Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management. Sustainability 2015, 7, 3129 -3145.
AMA StyleAnibal Gusso, Cristina Cafruni, Fabiane Bordin, Mauricio Roberto Veronez, Leticia Lenz, Sabrina Crija. Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management. Sustainability. 2015; 7 (3):3129-3145.
Chicago/Turabian StyleAnibal Gusso; Cristina Cafruni; Fabiane Bordin; Mauricio Roberto Veronez; Leticia Lenz; Sabrina Crija. 2015. "Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management." Sustainability 7, no. 3: 3129-3145.
The evaluation of the urban ecosystem conditions and environment while cities that are still growing economically, are highly necessary for reliable assessment of sustainability in big cities. The urban green spaces are valuable sources of evapotranspiration process generated by trees and vegetation which mitigates urban heat islands (UHI) in the cities. The Land Surface Temperature (LST) is closely related to the distribution of Land Use and Land Cover (LULC) characteristics and can be used as an indicator of the urban environment conditions and development. This research evaluates the patterns of LST distribution by means the Thermal Spatial Distribution Signature (TSDS) procedure using Thermal Infrared (TIR) data obtained from Landsat-5 Thematic Mapper (TM). A set of eighteen images, between 1985 and 2009, were used to study the urban environment during the summer season, in 47 neighborhoods in the city of Porto Alegre, Brazil. At neighborhood scale, results show a non-linear inverse correlation (R2=0.55) between vegetation index and LST. The overall average of the LST is 300.23 K (27.8˚C) with a standard deviation of 1.25 K. The max difference found between neighborhoods was 2.83 K.
Anibal Gusso; Fabiane Bordin; Mauricio Veronez; Cristina Cafruni; Leticia Lenz; Sabrina Crija. Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Islands Management. Proceedings of The 4th World Sustainability Forum 2014, 1 .
AMA StyleAnibal Gusso, Fabiane Bordin, Mauricio Veronez, Cristina Cafruni, Leticia Lenz, Sabrina Crija. Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Islands Management. Proceedings of The 4th World Sustainability Forum. 2014; ():1.
Chicago/Turabian StyleAnibal Gusso; Fabiane Bordin; Mauricio Veronez; Cristina Cafruni; Leticia Lenz; Sabrina Crija. 2014. "Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Islands Management." Proceedings of The 4th World Sustainability Forum , no. : 1.
The forest sciences as well as other areas of knowledge benefit from technological advances to develop their working methods and increase their knowledge of their specific field of study. New equipment and methods are continually developed to support these applications. In the last decade, laser scanning and profiling systems have been consolidated as one of the most effective technologies for geospatial data acquisition. Based on the time-of-flight and with an electromagnetic spectrum that ranges into the mid-infrared, 1535 nm, the terrestrial laser systems are appropriate for correlating the intensity data with physicochemical properties. Thus, the main objective of this study was to evaluate the influence of the distance to the target in the data acquisition intensity targets forest in order to support future studies of correlation between this variable and the physicochemical characteristics of the targets. In this study we used the Terrestrial Laser Scanner 3D Ilris with Optech operating principle based on flight time and wavelength of 1535 nm spectral range from infrared magnetic medium. The data acquisition targets intensity was assessed at distances (1 m à 50 m) by using a target reference of 99% reflectance. The results were analysed and showed that the distance interferes with the return of intensity. From the results of this research recommend that the intensity data are calibrated in relation to distance before using them as a source for study of the physical-chemical characteristics of the targets.
F. Bordin; E. C. Teixeira; S. B. A. Rolim; F. M. W. Tognoli; C. N. Souza; Mauricio Roberto Veronez. ANALYSIS OF THE INFLUENCE OF DISTANCE ON DATA ACQUISITION INTENSITY FORESTRY TARGETS BY A LIDAR TECHNIQUE WITH TERRESTRIAL LASER SCANNER. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2013, XL-2/W1, 99 -103.
AMA StyleF. Bordin, E. C. Teixeira, S. B. A. Rolim, F. M. W. Tognoli, C. N. Souza, Mauricio Roberto Veronez. ANALYSIS OF THE INFLUENCE OF DISTANCE ON DATA ACQUISITION INTENSITY FORESTRY TARGETS BY A LIDAR TECHNIQUE WITH TERRESTRIAL LASER SCANNER. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2013; XL-2/W1 ():99-103.
Chicago/Turabian StyleF. Bordin; E. C. Teixeira; S. B. A. Rolim; F. M. W. Tognoli; C. N. Souza; Mauricio Roberto Veronez. 2013. "ANALYSIS OF THE INFLUENCE OF DISTANCE ON DATA ACQUISITION INTENSITY FORESTRY TARGETS BY A LIDAR TECHNIQUE WITH TERRESTRIAL LASER SCANNER." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W1, no. : 99-103.
The advance of technology and the availability of high-resolution and accurate systems have permitted the development of new methods for studies in forests. Terrestrial laser scanners have been consolidated as one of the most effective technologies for geospatial data acquisition since the last decade. They have offered the possibility of mapping tridimensionally with high positional accuracy a great number of targets, including forests. However, it is quite difficult to find methodological approaches for acquisition of forest data involving these type of systems. Thus, based on a mid and long range laser scanner with an electromagnetic spectrum ranging into the mid-infrared, 1535nm, different distances and radiometric resolutions were tested in order to establish a method of acquisition of intensity data in forest targets. After processing, data were analyzed with a clustering algorithm to test the possibility of identifying different elements. Trunk, branches and leaves as well as an edge effect were satisfactorily grouped. Besides defining a method for acquisition of intensity, it opens good perspectives in terms of integrating the classification obtained by the clustering technique with the point cloud. Future studies can contribute to develop a method for quantifying the volume of forest elements and, consequently, estimate biomass
Fabiane Bordin; Elba Calesso Teixeira; Silvia Beatriz Alves Rolim Rolim; Francisco Tognoli; Mauricio Roberto Veronez; Luiz Gonzaga Da Silveira Junior; Camila Fernandes Natus De Souza. Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner. IERI Procedia 2013, 5, 238 -244.
AMA StyleFabiane Bordin, Elba Calesso Teixeira, Silvia Beatriz Alves Rolim Rolim, Francisco Tognoli, Mauricio Roberto Veronez, Luiz Gonzaga Da Silveira Junior, Camila Fernandes Natus De Souza. Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner. IERI Procedia. 2013; 5 ():238-244.
Chicago/Turabian StyleFabiane Bordin; Elba Calesso Teixeira; Silvia Beatriz Alves Rolim Rolim; Francisco Tognoli; Mauricio Roberto Veronez; Luiz Gonzaga Da Silveira Junior; Camila Fernandes Natus De Souza. 2013. "Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner." IERI Procedia 5, no. : 238-244.