Processamento e restituição digital de fotografias aéreas coloridas para estudo da cobertura vegetal

This work aimed to apply geoprocessing techniques to identify and to quantify the types of vegetal coverings in part of the county Botucatu – SP, having been divided into three phases: acquisition of data; georeferencing based on the digital topographic maps in 1:50000 scale and finally the thematic maps were generated. The methodology used to the analogical aerial photographics georeferencing showed efficient, considering that it was based on scientific procedures of residues analysis and the positioning central was classified as A, according to the Cartographic Precision Pattern.

Determinação das coordenadas dos vértices limítrofes de imóveis rurais utilizando-se do posicionamento GPS

Aiming to evaluate the methodologies of surveys related with the specifications of Geo-referencing Rural Parcels in Brazil, established by INCRA (National Institute of Colonization and Agrarian Reform), in attendance to the Law 10.267/01, and considering aspects of precision and accuracy, a test area was set up in the Assentamento Florestan Fernandes, in the county of Presidente Bernardes, SP. This area was subdivided in three sub-areas in order to simulate the existence of three contiguous rural parcels. The first stage of work consisted in the implantation and determination of the control points coordinates in their respective areas. These control points were determined by the process of direct transport, using dual frequency (L1/L2) GPS receivers and through the process of traverse with baselines of up to 20 km, using single frequency receivers (L1). The coordinates of the points of the perimeter of the three sub-areas were determined using single frequency GPS receivers, from two survey methods, both using static relative positioning. The first one, so called traverse, each point that delimits the property was occupied successively, starting from the control point and closing at another. In other, denominated double irradiation, each point of the property was irradiated from two control points. These procedures were accomplished with the intention to define and to implement a mistake control strategy, to realize redundancy measurements and to use an adjustment method correctly, to obtain trustworthily values in the patterns demanded in each kind of survey. With the data collected and processed some analyses could be accomplished from the discrepancies between the coordinates obtained by different methodologies. The results show that this test area may be used to validate other methodologies and equipments. The results were satisfactory and attended the specifications of Geo-referencing Rural Parcel.

Avaliação do tempo de resposta de um controlador de fluxo com DGPS submetido à variação de velocidade de voo em condições de voo simulado em laboratório

The application of pesticides is one of the most important steps in the agricultural production process. The spray volume can directly affect application success, and this parameter is directly dependent on the displacement speed of the sprayer. In conventional systems, the operator has to maintain a constant speed to ensure uniform application along the tracks. In order to improve over application quality and preserve levels of precision for applied doses; the use of electronic flow control systems allows for automatic adjustment of volume applied over the area when there is a change in velocity during application. The objective of this research was to study the response times of a flow controller with DGPS for aerial application subjected to variations of velocity in laboratory simulated flight conditions. For this purpose, a bench test has been developed including software for simulating DGPS signals, which was used to simulate different flight speeds and conditions. The results showed the average response time from the flow controller to a change in velocity to be between 6 and 20 seconds. Variations in total flow and the controller setting had a significant influence on response time with situations where there was interaction between the factors being evaluated. There was a tendency for better response times using a constant setting for the control algorithm other than that specified by the manufacturer. The flow controller presented an average error rates below 2% in all evaluated operating conditions, providing satisfactory accuracy in determining the output of product in different test situations.

Métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Comparação de métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Monitoramento e avaliação de processos erosivos marginais em reservatórios de usinas hidrelétricas por meio de varredura a laser

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Identificação de contrastes vocálicos do Português Brasileiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caminhamento fotogramétrico com arranjo triangular de câmaras fotográficas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Algoritmos de aprendizado semi-supervisionado baseados em grafos aplicados na bioinformática

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Dor femoropatelar: uma contribuição considerando aspectos da dor e sua influência em parâmetros eletromiográficos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Posicionamento por ponto preciso com solução de ambiguidades inteiras no contexto de rede GPS

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem fuzzy de dados climáticos estimados por modelo matemático - CCATT-BRAMS

Pós-graduação em Engenharia Mecânica - FEG