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

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.

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

Abstract 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 LIDARs intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion automatically (IRA). The IRA showed to be effective recovering 35.71% of points distorted by the edge effect, providing significant improvements and promising results for the development of applications based on TLS data intensity to many studies.

Divulgação de dados ambientais e socioeconômicos na internet usando um modelo baseado no uso de ferramentas livres

Um modelo baseado no uso de ferramentas livres e apresentado, visando a publicacao de dados socioeconomicos e ambientais e divulgacao de informacoes na internet. A estrutura deste modelo permite que as informacoes sejam apresentadas sob a forma de tabelas, graficos, fotos ou mapas para a web. A escolha de um determinado formato de apresentacao da informacao e determinada de acordo com os objetivos do desenvolvedor. Como resultado do trabalho, o usuario criara um banco de dados geograficos virtual para gerar informacoes estaticas e mapas interativos para a web. As principais ferramentas utilizadas foram o sistema de informacoes geograficas Spring, banco de dados relacional MySQL, PHP script e o servidor Apache HTTP. Palavras-chave: mapeamento via Web, ferramentas livres, Spring Web, Sistema de Informacao Geografica.