A half-century of Baarda’s concept of reliability: a review, new perspectives, and applications

Over the 50 years of its existence, Baarda’s concept of reliability has been used as a standard practice for the quality control in geodesy and surveying. In this study, we analysed the pioneering work of Baarda (Publ Geod New Ser 2(4) 1967; Publ Geod New Ser 2(5) 1968) and recent studies on the subject. We [...]

Geometry accuracy of DSM in water body margin obtained from an RGB camera with NIR band and a multispectral sensor embedded in UAV

The photogrammetry techniques are known to be accessible due to its low cost, while the geometric accuracy is a key point to ensure that models obtained from photogrammetry are a feasible solution. This work evaluated the discrepancies in 3D (DSM) and 2D (orthomosaic) models obtained from photogrammetry using control points (GCPs) near a reflective/refractive area [...]

A new relationship between the quality criteria for geodetic networks

The goal of this paper is to present a new relationship between the quality criteria for geodetic networks. The quality criteria described here are fourfold: positional uncertainty of network points, considering both bias and precision (at a given confidence level); the maximum allowable number of undetected outliers; the level of reliability and its homogeneity for [...]

Análise gráfica das variáveis do controle de qualidade de dados geodésicos por meio de testes estatísticos

Na Geodésia, o controle de qualidade (CQ) é uma das etapas de maior importância, onde é decidido se os resultados obtidos serão validados ou não. Dentro desse contexto, os testes estatísticos ainda são as ferramentas mais utilizadas para detecção e identificação de outliers (erros não aleatórios), dentre eles o famoso Data Snooping proposto por Baarda. [...]

High-resolution spectroscopy for detecting stratigraphic surfaces and stacking patterns in sedimentary basins

In this research was evaluated the potential of using scores derived from spectral data to detect surfaces and stacking patterns in the sedimentary record, and propose a new method for analyzing spectral data. Spectral field surveys with wavelengths ranging between 2.0 and 2.5 μm were acquired from three well-exposed outcrops in the Neuquén Basin, Argentina. The [...]

Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases

Background HLA genes are the most polymorphic of the human genome and have distinct allelic frequencies in populations of different geographical regions of the world, serving as genetic markers in ancestry studies. In addition, specific HLA alleles may be associated with various autoimmune and infectious diseases. The bone marrow donor registry in Brazil is the [...]

Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à inspeção de obras de arte especiais

As Obras de Arte Especiais (OAEs) surgiram com o intuito de facilitar a mobilidade urbana. Logo, é fundamental a realização de inspeções periódicas e manutenções preventivas, a fim de identificar possíveis manifestações patológicas. Atualmente as técnicas empregadas são baseadas na inspeção visual, na qual a principal dificuldade é a acessibilidade a todos os locais da [...]

A Multioutcrop Sharing and Interpretation System: Exploring 3-D Surface and Subsurface Data

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 [...]

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

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 [...]

An intensity recovery algorithm IRA for minimizing the edge effect of LIDAR data

The terrestrial laser scanner is an equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. However, before intensity data can be analyzed, it must be processed in order to minimize the edge or border effect, one of the most serious problems of [...]