PPGTA

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Navegando PPGTA por Autor "014.959.971-46"

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    Imagens derivadas de aeronaves remotamente pilotadas compondo protocolo de avaliação de maturação da soja para fins de manejo agrícola
    (Universidade Federal de Mato Grosso, 2020-03-25) Miranda Junior, Pedro Lopes; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Barbosa, Domingos Sávio; 702.907.921-34; http://lattes.cnpq.br/6896725721269796; Bolognez, Anny Keli Aparecida Alves Cândido; 014.959.971-46; http://lattes.cnpq.br/9425404181564784
    The creation, improvement and diffusion of remote sensing techniques focusing on suborbital images collected through Remotely Piloted Aircraft (RPA), has advantages in several fields of application, particularly in the agricultural and environmental sectors. The research study area was the experimental field of a soybean seed production company in the rural area of Rondonópolis, MT. Suborbital images were used to quantify planting failures and area covered by soybeans, as an alternative technique to visual inspection of agricultural crops, aiming to decrease the operational cost of the activity, as well as subjectivity at the time of data collection. In four months, 1250 images were collected, generating 25 aerial image mosaics, for a total of 138.88 hours of flight with the RPA Phantom 4 Pro. In order to carry out the planting failure analyzes, two flights were performed using the RPA X 800 in two sample areas within the experimental area. The operational protocol adopted, indicates that the use of RPA decreases the financial costs and deadlines in the soybean management process in the field. On average, each 20-minute flight costs the company around R $ 21.60. A person in the field, collecting data visually and on foot would take around a day and a half, to cover the same area imagined, at a cost of approximately R $ 183.00. The quality of the data collected with RPA, lies in the fact that in each flight performed, there is a pre-calibration of the RPA sensors, thus ensuring that all photos are taken in the same way.
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    Uso de imagens aéreas de alta resolução espacial para a detecção e caracterização de processos erosivos
    (Universidade Federal de Mato Grosso, 2020-03-17) Weis, Maíra Guarlot; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Mioto, Camila Leonardo; 060.028.399-94; http://lattes.cnpq.br/2846355335199799; Bolognez, Anny Keli Aparecida Alves Cândido; 014.959.971-46; http://lattes.cnpq.br/9425404181564784
    Space technologies have allowed productivity gains and an improvement in cost-benefit, being the case of most activities that depend on a spatio-temporal analysis of their occupation on the Earth's surface. Even with all the technological advances, georeferenced images still present positional uncertainties and, therefore, their quality must be evaluated in order to increase the accuracy of the generated products. In Brazil, this assessment can be made from the Cartographic Accuracy Standard for Digital Cartographic Products (PECPCD) defined by the Technical Specification for the Acquisition of Vector Geospatial Data (ET-ADGV) (DSG, 2011), being based on the Standard of Cartographic Accuracy (PEC) defined in Decree-Law no. 89,817 of 1984, which regulates the classification of products as to their accuracy. In this work, the objective was to use control points collected with a GNSS receiver to reduce the uncertainties / positional errors of georeferenced images in order to contribute to the search for functional and dynamic forms of management, control and environmental recovery. The study area is located in the northeastern region of the municipality of Rondonópolis - MT, with approximately 77 hectares. For the mapping of the area, aerial photographs of high spatial resolution were used, obtained by means of an RPA model DJI Phantom 4 Pro, and six control points were collected in the area using a GNSS Topcon Hiper V receiver. Data processing was performed using the Agisoft Metashape Professional software. As a final product, the Digital Terrain Model - MDT was obtained together with the level curves and, for comparative purposes, two processing reports were generated, one before the insertion of the support points and the other containing the points. The insertion of the control points significantly decreased the projection errors contained in the referenced images, whereas before the total error in the x, y and z axes was estimated at 8.507m and after the insertion the error became 0.191m.