2024-10-162024-10-162023-05-08RÊGO, Juliana Tamyres Vinholte do. Avaliação dos imóveis rurais cadastrados no SICAR/PA do município de Dom Eliseu/PA sob a ótica do código florestal brasileiro. Orientador Alberto Carlos de Melo Lima. 2023. 44 f. Dissertação (Mestrado em Tecnologia, Recursos Naturais e Sustentabilidade na Amazônia) - Centro de Ciências Naturais e Tecnologia, Universidade do Estado do Pará, Belém, 2023.https://portaldaposgraduacao.uepa.br/handle/riuepa/215AbertoCARImóvel ruralGeotecnologiasModulo fiscalCódigo florestalGeotechnologiesFiscal moduleForestry codePropriedade rural - Dom Eliseu (PA)Posse da terra - Dom Eliseu (PA)Áreas de conservação de recursos naturais - Dom Eliseu (PA)Habitações rurais - Dom Eliseu (PA)Rural propertyAvaliação dos imóveis rurais cadastrados no SICAR/PA do município de Dom Eliseu/PA sob a ótica do código florestal brasileiro.DissertaçãoCiências AgráriasThis work aimed to analyze the data obtained from the SICAR/PA platform (Sistema de Cadastro Rural do Pará) in order to identify what is a rural property through satellite images, identifying the size of the property/possession and comparing the database with analysis of the LandSat 07 and LandSat 08 satellite images of the year 2008 and 2021 and vector layer scenarios. The methodology consisted of 2 distinct stages of analysis, being questioning the database and vector analysis of satellite images using the QGIS software and Microsoft Excel spreadsheet to tabulate and cross the geographic data, from the filtering of the data, only 20% were selected, of theproperties “Analysed, awaiting regularization” having a greater number of characteristics in the ground cover: Legal Reserve (RL), Remnant of Native Vegetation(RVN), Anthropized Area (AA), Consolidated Area (AC), Regenerate (REG), Permanent Preservation Area (APP) and Public Utility (UP). The results showed 2,135 rural properties and possessions registered in the SICAR in the municipality of Dom Eliseu, State of Pará, of which 1,690 properties were classified as 0-4 Fiscal Modules(MF), 324 properties were classified as 05-10 MF and 211 properties were greater than10 MF. s for this study (AC, AA, APP, RVN, RL, REG and UP) the properties were identified from P1 to P17. The results obtained indicate a variation of the fiscal modules, with 4.37 to 157.53 hectares classified as medium and large rural property/possession, respectively, the difference between the area declared in the CAR and the documented area ranged from 0.39 to 631.85 hectares, noting adiscrepancy between what is declared in the CAR and what is the reality of the property. The calculation of land cover areas obtained in hectares (Há) through satelliteimages were: 17,840.41 (AC), 1,571.107 (AA), 22,508.63 (RVN), 3,020.624 (APP), 23,861.95 (RL), 142.5488 (UP) and 2,248.337 (REG). It is concluded that most of the properties were classified as "properties" and have more than 4 fiscal modules, the methodology and data used in this study were satisfactory, allowing to partially identify the inconsistencies in the elaboration of the Rural Environmental Registry (CAR).PPGTEC - Gestão de recursos agroflorestais