Publicações

Spectral Model for Soybean Yield Estimate Using MOD-IS/EVI Data

Attaining reliable and timely agricultural estimates is very important everywhere, and in Brazil, due to its characteristics, this is especially true. In this study, estimations of crop production were made based on the temporal profiles of the Enhanced Vegetation Index (EVI) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) images. The objective was to evaluate the [...]

Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner

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 [...]

Terrestrial Laser Scanning: Application for Measuring of Structures Information in Geological Outcrops

This study aimed to build a workflow to survey geological planar structure geometries using light detection and ranging technique. The study covered a field survey with the determinations of plane attitude using compass, clinometers, and digital images through light detection and ranging technique. Three methods were used to compute the selected planes into the point [...]

A Comparative Study in the Execution of Gypsum Coatings under an Environmental Impact Perspective

he gypsum slurry used in coatings is a construction material that generates many residues. Despite the proven feasibility of recycling, the reduction of waste is still the best way of minimizing the environmental impact. Different technologies have been studied in order to replace its use. However, studies have shown that the losses in construction when [...]

Artificial Neural Network Approach for Estimation of Land Surface Temperature

In this article we present an alternative method for extrapolation of Land Surface Temperature (LST) by means of Artificial Neural Networks (ANNs) based on positional variables (UTM coordinates and altitude), temperature and average air relative humidity. The study region was the Rio dos Sinos Hydrographic Basin (RSHB), Rio Grande do Sul, Brazil. For ANN training [...]

Analysis of the influence of distance on data acquisition intensity forestry targets by a LIDAR technique with terrestrial laser scanner

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 [...]

So close, so far away: analysis of surnames in a town of twins (Cândido Godói, Brazil).

Cândido Godói is a small Brazilian town known for high rates of twin birth. In 2011, a genetic study showed that this localized high rate of twin births could be explained by a genetic founder effect. Here we used isonymic analysis and surname distribution to identify population subgroups within 5316 inhabitants and 665 different surnames. [...]

Electrofacies Modelling and Lithological Classification of Coals and Mud-bearing Fine-grained Siliciclastic Rocks Based on Neural Networks

The identification of lithofacies from well is usually an interpretative process based on geophysical logs since core and sidewall samples are not usually available. Despite being always sampled and described, cuttings are useful only as a reference for determining the rocks because a number of problems occur during the drilling and sampling activities. Well logs [...]

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