Navegando por Assunto "Georreferenciamento"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Análise espacial das condições ecoepidemiológicas para estabelecimento da Esquistossomose mansonica em duas áreas do Distrito de Mosqueiro, Belém-PA
(Universidade Federal do Pará, 2012) PEREIRA, Alba Lúcia Ribeiro Raithy; GONÇALVES, Nelson Veiga; http://lattes.cnpq.br/8811269146444725; BICHARA, Cléa Nazaré Carneiro; http://lattes.cnpq.br/2161704040280760
The dynamics process of Mansonic Schitomiasis endemization is multifactorial, which sometimes retards it’s installation process, but also difficult the control of epidemiological surveillance. The Geo-technologies have brought contributions to the public health, creating thematic maps that make easier understand of dynamic population at space used, and their interrelationship with the water resources and with the sickness process. The proposal of this work was to identify through spatial analysis the eco-epidemiological factors related with the Mansonic Schitosomiasis endemization. It was achieved a descriptive study in two coverage areas from Family Health Strategy, Carananduba and Furo das Marinhas, In Mosqueiro District, Belém-PA, between 2010 and 2012, using geoprocessing Techniques like: Remote Sensing and Geographic Information Systems (GIS), through the tools: ERDAS 8.3.1 and ENVI 4.5, for classification of these satellites images, with the variables: Soil, vegetation cover and hydrography; The Global Positioning System (GPS) for georreferencing at study area and capturing collecting points of breeding sites; and ARCGIS 9.3.1 for manipulation and teatring of the Geographic Data Banks and Kernel estimation for identification of risk zones about high resolution satellite images and cartographic bases. Were analyzed, also, environmental and ecological data through geoprocessing techniques. The geo-technologic tools producing thematic maps of Family Health Strategic abrangency, the work routes, environmental classification, and the localization of breeding sites that generating seven agglomerated Kernel points that identified the risk zones of transmission aggravating in 3 boroughs of Carananduba Zone. This zone has been presenting antrophic characteristics due disordered human occupation and hydro siltation collections. The Furo das Marinhas area still keeps native forest and great quantity of hydro collections yet and not being found Biomphilaria. In both studied areas the structure of sanitation is insufficient, and isn’t still there focus active of transmission from Mansonic Schitosomiasis. However, could be a great vulnerability in a short time to happen this incidence at Caranaduba area. So, the geo-technologies applied have enabling a geographic information system that made feasible the diagnostic of risk on the process of Mansonic Schitosomiasis Endemization in more than one location in Para.
Acesso aberto (Open Access)
Gestão de resíduos da construção civil: um estudo de caso em Tucuruí-PA
(Universidade Federal do Pará, 2022-11-17) SOUSA, Fernanda dos Santos; CORDEIRO, Luciana de Nazaré Pinheiro; http://lattes.cnpq.br/9126233381230999; https://orcid.org/0000-0001-7931-4042; TEIXEIRA, Marcelo Rassy; http://lattes.cnpq.br/8912916360456192
The Civil Construction Industry (CCI) is guilty of impacts on the environment being one of the main sources of pollution today, especially with regard to the generation and disposal of waste in urban centres, this research was developed to diagnose and propose improvements in the management of Construction and Civil Construction Waste (CCW) in a small town, the case study was conducted in the city of Tucuruí-PA, a hub city in the Amazon region. To this end an investigation was conducted through online questionnaires with questions about management and management of CCW and was also performed identification of Irregular Disposal Points (IDP) through georeferencing using the Global Positioning System (GPS) and Qgis 3.16.6 software. After the analysis, we sought to suggest what would be the best improvement strategies for the management of waste from civil construction, through the current diagnosis of the management of CCW in the city. Through this research it was possible to perceive the most relevant points of management difficulty on the part of the Tucuruí Municipal Government (PMT), which are: absence of specific legislation for CCW, lack of environmental education on the subject, absence of supervision, in addition to the lack of management carried out by construction companies operating on construction sites, it was also possible to locate the IDPs and know the destination given to the CCW, in a market practically non-existent and without stimulus. The analyses contained in this diagnosis of the current situation of Civil Construction Waste management will enable actions to be recommended to improve it through public policies in the municipality of Tucuruí-PA, as well as in the region.
Acesso aberto (Open Access)
Simulação de missões de VANTs em ambientes 3D fictícios e gêmeos digitais com georreferenciamento direto de pixels
(Universidade Federal do Pará, 2023-08-14) CONDE, Lucas dos Santos; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284
The world is rapidly entering a reality where Artificial Intelligence is becoming increasingly present in various systems, from the domestic environment to sectors such as industry, urban mobility, and agriculture. In this context, with the advancement of computational power, sim ulators for developing and testing autonomous systems have garnered significant interest from large companies and the scientific community due to the visual and physical fidelity they offer. These simulators are often regarded as "digital twins" of real scenarios and systems and have brought significant advantages in terms of cost and time, saving physical and human resources during the conception and improvement of algorithms. Among these systems are Unmanned Aerial Vehicles (UAVs), which have proven to be of great utility in contexts such as urban and rural mobility and monitoring. They are applied, for example, in detecting defects in photovoltaic panels, identifying weeds in crops, extending the mobile network and in search and rescue missions. Therefore, this work presents the conception of a methodology that integrates realistic mission simulation with UAVs, using the AirSim simulator in conjunction with the Unreal Engine graphics engine and computer vision capabilities. The objective is to perform object detection (employing the YOLO AI model) associated with their georeferenced location and generate geolocated image files that are compatible with commercial software for aerial image processing. The results were evaluated using the WebODM software for scene recon struction from geolocated image files (generating orthophotos). And to evaluate the direct pixel georeferencing algorithm, the ability of the drone to return to the position of the detected person (or object) after the algorithm provided the GPS position was tested, with errors smaller than 5 meters in relation to the real position (in UTM coordinates) of the element in the 3D environment