cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14327673.v1
title: MODEL FOR DETERMINATION OF THREE-DIMENSIONAL COORDINATES OF HIDDEN POINTS

description: One of the problems encountered during surveys is obstruction of points to be monitored, an example of this can be found in industrial environments where there are usually pipes and equipment that do not allow the establishment of straight lines;. An alternative to the application of topographic survey techniques is the use of plane mirrors to diversion of straight lines where the points of interest are observed indirectly. This study presents a new approach to the problem, whose analytical solution is based on the principles of Geometrical Optics and Surveying. The relative positional accuracy achieved in the preliminary tests is submillimetric order, and the absolute positional accuracy is millimetric order.
DOI: 10.6084/m9.figshare.14327674
title: Assessment of positional quality in spatial data generated by VANT using point and linear feature for cadastre applications

description: Currently the validation of the quality of cartographic information has been an issue ever more evident and important. With the emergence of the National Spatial Data Infrastructure (INDE) in Brazil, there were several technical specifications in order to regulate and standardize the many processes related to national cartographic production. In this context, the objective of this study is to evaluate the positional planimetric accuracy of orthophoto generated from an embedded sensor on a UAV platform by applying methods of point and linear features, according to the Brazilian standard for positional accuracy (Decree Law 89 817 combined with ET-ADGV), considering as a reference survey performed using RTK GNSS positioning technology. The results obtained demonstrate that both linear feature method (Double Buffer method) and the pontual feature method showed similar results, obtaining classification Class B to scale 1: 1,000, according to the Decree Law No. 89,817 / ET-ADGV
DOI: 10.6084/m9.figshare.14327674.v1
title: Assessment of positional quality in spatial data generated by VANT using point and linear feature for cadastre applications

description: Currently the validation of the quality of cartographic information has been an issue ever more evident and important. With the emergence of the National Spatial Data Infrastructure (INDE) in Brazil, there were several technical specifications in order to regulate and standardize the many processes related to national cartographic production. In this context, the objective of this study is to evaluate the positional planimetric accuracy of orthophoto generated from an embedded sensor on a UAV platform by applying methods of point and linear features, according to the Brazilian standard for positional accuracy (Decree Law 89 817 combined with ET-ADGV), considering as a reference survey performed using RTK GNSS positioning technology. The results obtained demonstrate that both linear feature method (Double Buffer method) and the pontual feature method showed similar results, obtaining classification Class B to scale 1: 1,000, according to the Decree Law No. 89,817 / ET-ADGV
DOI: 10.6084/m9.figshare.14327676
title: USING PARTICLE SWARM OPTIMIZATION TO ESTABLISH A LOCAL GEOMETRIC GEOID MODEL

description: There exist a number of methods for approximating the local geoid surface and studies carried out to determine a local geoid. In this study, performance of geoid by PSO method in modeling local geoid was presented and analyzed. The ellipsoidal heights (h), derived from GPS observations, and known orthometric heights from first-order benchmarks were first used to create local geometric geoid model, then the PSO method was used to convert ellipsoidal heights into orthometric heights (H). The resulting values were used to compare between the spirit leveling and GPS methods. The adopted PSO method can improve the fitting of local geometric geoid by quadratic surface fitting method, which agrees with the known orthometric heights within ±1.02cm
DOI: 10.6084/m9.figshare.14327676.v1
title: USING PARTICLE SWARM OPTIMIZATION TO ESTABLISH A LOCAL GEOMETRIC GEOID MODEL

description: There exist a number of methods for approximating the local geoid surface and studies carried out to determine a local geoid. In this study, performance of geoid by PSO method in modeling local geoid was presented and analyzed. The ellipsoidal heights (h), derived from GPS observations, and known orthometric heights from first-order benchmarks were first used to create local geometric geoid model, then the PSO method was used to convert ellipsoidal heights into orthometric heights (H). The resulting values were used to compare between the spirit leveling and GPS methods. The adopted PSO method can improve the fitting of local geometric geoid by quadratic surface fitting method, which agrees with the known orthometric heights within ±1.02cm
DOI: 10.6084/m9.figshare.14327677.v1
title: Laser point cloud filtering for DTM generation using kriging

description: This paper presents a method of filtering point clouds generated by laser scanning, to obtain a Digital Terrain Model (DTM). The filtering process is performed based on an approximated surface obtained from urban road points. These points are sampled in straight lines detected by Steger in the intensity image of the laser pulse. The main assumption of the method is that the ground has smooth behavior inside the block, so the sample laser points collected along the urban roads allow, using the kriging interpolation method, a suitable representation of the land inside the block, that is, relatively close to the ground point laser in these regions. Thus, filtering is performed by proximity of the original cloud laser points with approximate surface. For thus a DTM is obtained from the new sample by kriging interpolation method, increasing the description of the surface. From the experiments it was possible to verify the feasibility of the proposed method, with results of good visual consistency and satisfactory numerical indicators.
DOI: 10.6084/m9.figshare.14327677
title: Laser point cloud filtering for DTM generation using kriging

description: This paper presents a method of filtering point clouds generated by laser scanning, to obtain a Digital Terrain Model (DTM). The filtering process is performed based on an approximated surface obtained from urban road points. These points are sampled in straight lines detected by Steger in the intensity image of the laser pulse. The main assumption of the method is that the ground has smooth behavior inside the block, so the sample laser points collected along the urban roads allow, using the kriging interpolation method, a suitable representation of the land inside the block, that is, relatively close to the ground point laser in these regions. Thus, filtering is performed by proximity of the original cloud laser points with approximate surface. For thus a DTM is obtained from the new sample by kriging interpolation method, increasing the description of the surface. From the experiments it was possible to verify the feasibility of the proposed method, with results of good visual consistency and satisfactory numerical indicators.
DOI: 10.6084/m9.figshare.14327680
title: Analysis of the Level of Detail in Classifications of Urban Areas with Optical VHR and Hyperspectral Images Using C4.5 Decison Tree and Random Forest Methods

description: Urban environments represent one of the most challenging areas for remote sensing analyses due to the great diversity of land cover materials found in their surface. The fusion of high spatial and high spectral resolution images arise as an alternative for urban applications, for the combination of these two characteristics allows better detection and discrimination of urban targets. The present work has a twofold objective: i) evaluate two datasets for the fine classification of urban targets at two levels of legend (with 11 and 38 land cover classes): one of them exclusively consisting of an orbital multispectral image (WV-2) and another one exclusively comprising an airborne hyperspectral image (SpecTIR), ii) as well as assess the performance of two different image classification methods, C4.5 Decision Tree and Random Forest, for both levels of legend. Eight classification experiments were executed to meet such objectives of investigating the efficacy of sensors and classification methods for the concerned two levels of detailing. The obtained classifications attained high accuracy. For all adopted levels of legend and methods, it was demonstrated that the classifications using SpecTIR data presented results significantly superior to those obtained with the WV-2 data
DOI: 10.6084/m9.figshare.14327680.v1
title: Analysis of the Level of Detail in Classifications of Urban Areas with Optical VHR and Hyperspectral Images Using C4.5 Decison Tree and Random Forest Methods

description: Urban environments represent one of the most challenging areas for remote sensing analyses due to the great diversity of land cover materials found in their surface. The fusion of high spatial and high spectral resolution images arise as an alternative for urban applications, for the combination of these two characteristics allows better detection and discrimination of urban targets. The present work has a twofold objective: i) evaluate two datasets for the fine classification of urban targets at two levels of legend (with 11 and 38 land cover classes): one of them exclusively consisting of an orbital multispectral image (WV-2) and another one exclusively comprising an airborne hyperspectral image (SpecTIR), ii) as well as assess the performance of two different image classification methods, C4.5 Decision Tree and Random Forest, for both levels of legend. Eight classification experiments were executed to meet such objectives of investigating the efficacy of sensors and classification methods for the concerned two levels of detailing. The obtained classifications attained high accuracy. For all adopted levels of legend and methods, it was demonstrated that the classifications using SpecTIR data presented results significantly superior to those obtained with the WV-2 data
DOI: 10.6084/m9.figshare.14327683
title: Analysis of positioning methods and quality parameters of a bathymetric survey

description: Abstract: The positioning method to be employee in a bathymetric survey is questioned about the horizontal and vertical precisions. In a general way, the vessel positioning in hydrographic surveys has been determined through the Differential GPS (DGPS). Upon consulting the literature, it was observed that few investigations regarding to the precision and accuracy of these methods were done when such surveys occur in reservoirs. Therefore, the main objective of the present work is to perform precisions and accuracies analyzes regarding to positioning of the vessel, through the methods as DGPS, Precise Point Positioning (PPP) and Kinematic Relative Positioning (MPRC). All results were inserted into a Geographic Information System (GIS), in which it was observed that the results were more precise for the MPRC. However, it was concluded that it is also possible to use the IBGE-PPP online service to process the positioning data of the geodetic marks and the vessel getting a precision lower than a meter. In conclusion, all methods investigated for positioning the vessel are in agreement with the specifications of the Resolution ANEEL/ANA nº 03 of August 10th, 2010. Nevertheless, it is important to follow the minimum requirements for each positioning method.
DOI: 10.6084/m9.figshare.14327683.v1
title: Analysis of positioning methods and quality parameters of a bathymetric survey

description: Abstract: The positioning method to be employee in a bathymetric survey is questioned about the horizontal and vertical precisions. In a general way, the vessel positioning in hydrographic surveys has been determined through the Differential GPS (DGPS). Upon consulting the literature, it was observed that few investigations regarding to the precision and accuracy of these methods were done when such surveys occur in reservoirs. Therefore, the main objective of the present work is to perform precisions and accuracies analyzes regarding to positioning of the vessel, through the methods as DGPS, Precise Point Positioning (PPP) and Kinematic Relative Positioning (MPRC). All results were inserted into a Geographic Information System (GIS), in which it was observed that the results were more precise for the MPRC. However, it was concluded that it is also possible to use the IBGE-PPP online service to process the positioning data of the geodetic marks and the vessel getting a precision lower than a meter. In conclusion, all methods investigated for positioning the vessel are in agreement with the specifications of the Resolution ANEEL/ANA nº 03 of August 10th, 2010. Nevertheless, it is important to follow the minimum requirements for each positioning method.
DOI: 10.6084/m9.figshare.5718697.v1
title: AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

description: Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.
DOI: 10.6084/m9.figshare.5718697
title: AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

description: Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.
DOI: 10.6084/m9.figshare.5720881
title: DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED

description: Abstract: This paper aimed to use the dasymetric mapping methods proposed by Mennis and Hultgreen (2006) and Strauch and Ajara (2015) to estimate the variation of the distribution in the population in the Jacarepaguá Watershed. For this, population data from the census tracts of 2010 and, as auxiliary data, the map of land use and land cover obtained from the supervised classification, were used - the auxiliary data were obtained using a maximum likelihood method with high resolution images. The method proposed by Mennis and Hultgreen (2006) preserved the pycnophylactic capacity of the dasymetric mapping; however, it resulted in a dasymetric map that distributes the population among the pixels, in accordance with the population variables, and in a more homogeneous way, since it considers only two classes of urban use and occupation. In the Strauch and Ajara (2015) method, there was a loss of 0.04% of the original population, but it emphasized the density differences, by distributing the population heterogeneously, because it allows the specialist to include other classes of land use and land cover and attribute different types of weights to these classes.
DOI: 10.6084/m9.figshare.5720881.v1
title: DASYMETRIC METHODS APPLIED TO JACAREPAGUÁ WATERSHED

description: Abstract: This paper aimed to use the dasymetric mapping methods proposed by Mennis and Hultgreen (2006) and Strauch and Ajara (2015) to estimate the variation of the distribution in the population in the Jacarepaguá Watershed. For this, population data from the census tracts of 2010 and, as auxiliary data, the map of land use and land cover obtained from the supervised classification, were used - the auxiliary data were obtained using a maximum likelihood method with high resolution images. The method proposed by Mennis and Hultgreen (2006) preserved the pycnophylactic capacity of the dasymetric mapping; however, it resulted in a dasymetric map that distributes the population among the pixels, in accordance with the population variables, and in a more homogeneous way, since it considers only two classes of urban use and occupation. In the Strauch and Ajara (2015) method, there was a loss of 0.04% of the original population, but it emphasized the density differences, by distributing the population heterogeneously, because it allows the specialist to include other classes of land use and land cover and attribute different types of weights to these classes.
DOI: 10.17632/tj2gnv2ygy.1
title: Exercise Addiction in Aerobic and Anaerobic Exercisers

description: This study compares the risk of exercise addiction in recreational aerobic and anaerobic exercisers. Although the two groups do not differ in the score of the risk of exercise addiction, the latter is predicted by different factors in the aerobic and anaerobic groups. The take-home message is that the form of exercise matters in the evaluation of the risk of exercise addiction.
DOI: 10.6084/m9.figshare.5720524
title: PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD

description: Abstract: The main objective of this study is to estimate variables related to transportation planning, in particular transit trip production, by proposing a geostatistical procedure. The procedure combines the semivariogram deconvolution and Kriging with External Drift (KED). The method consists of initially assuming a disaggregated systematic sample from aggregate data. Subsequently, KED was applied to estimate the primary variable, considering the population as a secondary input. This research assesses two types of information related to the city of Salvador (Bahia, Brazil): an origin-destination dataset based on a home-interview survey carried out in 1995 and the 2010 census data. Besides standing out for the application of Geostatistics in the field of transportation planning, this paper introduces the concepts of semivariogram deconvolution applied to aggregated travel data. Thus far these aspects have not been explored in the research area. In this way, this paper mainly presents three contributions: 1) estimating urban travel data in unsampled spatial locations; 2) obtaining the values of the variable of interest deriving out of other variables; and 3) introducing a simple semivariogram deconvolution procedure, considering that disaggregated data are not available to maintain the confidentiality of individual data.
DOI: 10.6084/m9.figshare.5720524.v1
title: PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD

description: Abstract: The main objective of this study is to estimate variables related to transportation planning, in particular transit trip production, by proposing a geostatistical procedure. The procedure combines the semivariogram deconvolution and Kriging with External Drift (KED). The method consists of initially assuming a disaggregated systematic sample from aggregate data. Subsequently, KED was applied to estimate the primary variable, considering the population as a secondary input. This research assesses two types of information related to the city of Salvador (Bahia, Brazil): an origin-destination dataset based on a home-interview survey carried out in 1995 and the 2010 census data. Besides standing out for the application of Geostatistics in the field of transportation planning, this paper introduces the concepts of semivariogram deconvolution applied to aggregated travel data. Thus far these aspects have not been explored in the research area. In this way, this paper mainly presents three contributions: 1) estimating urban travel data in unsampled spatial locations; 2) obtaining the values of the variable of interest deriving out of other variables; and 3) introducing a simple semivariogram deconvolution procedure, considering that disaggregated data are not available to maintain the confidentiality of individual data.
DOI: 10.17632/4kdz5zzs44.3
title: Data for: Mechanochemical synthesis and thermoelectric properties of Fe2TiSn Heusler alloy

description: It contains some raw data obtained during the mechanochemical synthesis of Fe2TiSn Heusler alloy doi: 10.1016/j.intermet.2021.107195
DOI: 10.6084/m9.figshare.5719645
title: EFFECT OF DIGITAL ELEVATION MODEL MESH SIZE ON GEOMORPHIC INDICES: A CASE STUDY OF THE IVAÍ RIVER WATERSHED - STATE OF PARANÁ, BRAZIL

description: Abstract: Geomorphometry is the science of quantitative description of land surface morphology by the mean of geomorphic indices extracted from Digital Elevation Models (DEMs). The analysis of these indices is the first and most common procedure performed in several geoscience-related subjects. This study aims to assess the impact of mesh size degradation on different local and regional geomorphic indices extracted for GDEM and TOPODATA DEMs. Thus, these DEMs, having a mesh size of 30 m, were subsampled to 60, 120 and 240 m and then geomorphic indices were calculated using the full resolution DEM and the subsampled ones. Depending on their behavior, these indices are then classified into stable and unstable. The results show that the most affected indices are slope and hydrographic indices such as Strahler order, stream sinuosity and fractal dimension and watershed perimeter, whereas elevation remains stable. It also shows that the effect depends on the presence of the canopy and geological structures in the studied area.
DOI: 10.6084/m9.figshare.5719645.v1
title: EFFECT OF DIGITAL ELEVATION MODEL MESH SIZE ON GEOMORPHIC INDICES: A CASE STUDY OF THE IVAÍ RIVER WATERSHED - STATE OF PARANÁ, BRAZIL

description: Abstract: Geomorphometry is the science of quantitative description of land surface morphology by the mean of geomorphic indices extracted from Digital Elevation Models (DEMs). The analysis of these indices is the first and most common procedure performed in several geoscience-related subjects. This study aims to assess the impact of mesh size degradation on different local and regional geomorphic indices extracted for GDEM and TOPODATA DEMs. Thus, these DEMs, having a mesh size of 30 m, were subsampled to 60, 120 and 240 m and then geomorphic indices were calculated using the full resolution DEM and the subsampled ones. Depending on their behavior, these indices are then classified into stable and unstable. The results show that the most affected indices are slope and hydrographic indices such as Strahler order, stream sinuosity and fractal dimension and watershed perimeter, whereas elevation remains stable. It also shows that the effect depends on the presence of the canopy and geological structures in the studied area.