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    Análise das declarações do cadastro ambiental rural em relação as certificações de área do SIGEF
    (Universidade Estadual do Norte do Paraná, 2023) Fonseca Junior, Edson José; Kolln, Oriel Tiago; https://orcid.org/0000-0002-8507-9808; http://lattes.cnpq.br/8041626078120100; Reis, Luiz Carlos; https://orcid.org/0000-0003-2193-8535; http://lattes.cnpq.br/4310404758664835; Reis, Teresinha Esteves da Silveira; https://orcid.org/0000-0001-6379-4790; http://lattes.cnpq.br/5705088234641018; Duft, Daniel Garbellini; https://orcid.org/0000-0002-9334-9687; http://lattes.cnpq.br/1960620473831019
    Amidst controversy, the Brazilian Forest Code was sanctioned in 2012, together too a new tool for analyzing rural properties was created, the Rural Environmental Registry (CAR). This is a electronic public record, mandatory for all rural properties, the purpose of integrating environmental information on rural properties and possessions referring to Permanent Preservation Areas (APP), of restricted use, Legal Reserve, remnants of forests and other forms of native vegetation, and consolidated areas, composing a database for control, monitoring, environmental and economic planning and combating deforestation. The registration tool has been demonstrating some divergences, in the georeferencing tab, which aims to identify information on land use and occupation and its perimeter. The aim of this work was to evaluate the divergences of information obtained by the CAR due to the different ways of inserting maps and to analyze the precision and accuracy of the topographic survey methods applied to the measurement of rural properties of different sizes and formats. The methodology recommended by SIGEF was adopted for georeferencing purposes, using conventional topography methods, the use of high-precision GNSS equipment and remote sensing. A map generated from Google Earth was produced for each property in a KML file. The maps obtained were inserted into the application for rural environmental registration made available by the Brazilian Institute of the Environment, on the orbital image contained therein, establishing comparisons for each of the methods. The data were processed in topographic automation software and, when possible, the coordinates were adjusted to the Brazilian Continuous Monitoring Network (RBMC). The analyzes of comparisons between the methods were performed Separated into four groups according to the size of the properties. We hope that the Rural Environmental Registry tool can facilitate environmental monitoring and, consequently, ecosystem service. The results showed us that the quality of the registration is directly linked to the quality of the georeferencing section of the CAR application, and when associated with the certification data we have a more reliable result of the declaration. Our data showed that due to the quality of the data used for the CAR declaration we can have positive and negative impacts mainly due to the increase in the provision of ecosystem services (eg water quality) and increase in production costs, respectively.