Utilização do levantamento planialtimétrico para delimitação fundiária da Fazenda Não Me Deixes, Quixadá – CE

Abstract

Geotechnology plays a fundamental role in modernizing topographic surveys, with increasingly precise methods and techniques for obtaining spatial data, with an emphasis on the Global Navigation Satellite System (GNSS). This technique provides high accuracy in planialtimetric surveys, and among the main methods, RTK stands out—a real-time correction method for geographic data that enables swift data collection using two interconnected receivers. Thus, the objective of this study was to update the high-precision georeferencing of the polygonal boundary of Fazenda Não Me Deixes, located in the municipality of Quixadá, Ceará. Over four days of fieldwork, two Trimble GNSS receivers were used—one as the Base Station, installed at the farm headquarters, and the other as the Mobile Station (Rover), used for marking points along the entire perimeter of the property. Part of the survey was conducted using the RTK method, which allows real-time correction and operates within a short time interval, while the other part employed the Static method, where each point was recorded at longer time intervals, with corrections applied through post-processing. This latter method was adopted due to limitations in the continuous use of RTK, such as atmospheric factors and the lack of connectivity between receivers. The collected data was initially in the equipment's native format, requiring a first conversion using the "Convert to RINEX" software. The data recorded by the base station was later processed on IBGE's post-processing platform, with final adjustments made using Trimble Business Center software. Data collected via RTK did not require this processing. The final processing was carried out in QGIS, and the analysis revealed a significant difference compared to the previous survey, which recorded a total area of 928 hectares. With the newly obtained polygonal boundary using the RTK and Static methods, the actual area was estimated at 967 hectares, demonstrating a higher level of detail and identifying an area that had previously been unaccounted for.