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UID:pretalx-foss4g-2024-PKSLDT@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T124500
DTEND;TZID=-03:20241205T131500
DESCRIPTION:Introduction:\n\nFOSS4G (Free and Open Source Software for Geos
 patial) 2024 will be a platform to present innovative and accessible solut
 ions that use free and open-source software for geospatial information man
 agement. In this proposal\, we highlight the importance of using FOSS to r
 educe costs\, automate processes\, and simplify operations in QGIS\, with 
 a special focus on applications for large and environmentally sensitive ar
 eas such as the Amazon. Our presentation will detail the implementation of
  the GeoRondônia project and the use of the GeoINCRA plugin in QGIS\, emp
 hasizing its benefits in land regularization and environmental sustainabil
 ity.\n\nGeoRondônia Project - Land Regularization and Environmental Susta
 inability:\n\nThe GeoRondônia project is a partnership between the Federa
 l Institute of Education\, Science\, and Technology of Rondônia (IFRO) an
 d the National Institute for Colonization and Agrarian Reform (INCRA)\, th
 rough the Decentralized Execution Term (TED) No. 20/2021/DF/SEDE/INCRA-IFR
 O. With a duration of 48 months\, the project aims to title rural properti
 es in 120 Settlement Projects (PAs)\, covering a perimeter of 31\,000 km a
 nd benefiting more than 20\,000 families in 26 municipalities. The actions
  include georeferencing\, perimeter demarcation\, parceling\, occupational
  supervision\, and the Rural Environmental Registry (CAR). With an investm
 ent of approximately 23 million reais\, GeoRondônia has already benefited
  about 15\,000 families\, standing out as a model of efficiency and econom
 y.\n\nImportance of FOSS in Geospatial Projects:\n\nRondônia has 222 Sett
 lement Projects\, with approximately 66\,000 rural properties\, and a larg
 e part is being served by the GeoRondônia project. However\, the biggest 
 obstacle is data processing\, which involves large volumes and complexity.
  Therefore\, the project sought ways to optimize processes and speed up th
 e achievement of goals within established deadlines\, finding in QGIS+GeoI
 NCRA the tools needed for this objective.\nAdopting free and open-source s
 oftware (FOSS) is essential to reduce costs and increase the accessibility
  of geospatial technologies. Software like QGIS offers a robust and flexib
 le platform for implementing georeferencing and land registration projects
 \, eliminating the need for expensive licenses and allowing the customizat
 ion of tools according to the specific needs of the projects. With the sav
 ings generated in the GeoRondônia project using QGIS and the GeoINCRA plu
 gin\, it was possible to direct resources and optimize other processes in 
 the project. Additionally\, the solution created using these applications 
 can be replicated to all Brazilian states.\n\nGeoINCRA Plugin: Simplifying
  Georeferencing in QGIS:\n\nThe GeoINCRA plugin was developed to optimize 
 the georeferencing process of rural properties according to INCRA's techni
 cal standards. Implemented in Python\, the plugin integrates with QGIS's p
 rocessing framework\, offering functionalities that automate data querying
 \, attribute filling\, and document generation required for land certifica
 tion. The main tools of the plugin include:\nLoad Vertex Layer - Loads sel
 ected features from a point layer into the vertices layer of the GeoINCRA 
 database\; Download ODS Spreadsheet from SIGEF - Generates an empty ODS sp
 readsheet for later filling\; Query INCRA Database - Connects to INCRA's d
 atabase to query land assets and generate vector layers\; CSV from INCRA t
 o PointZ Layer - Transforms CSV vertex files from INCRA into PointZ layers
 \; GeoINCRA to TopoGeo - Copies features from the GeoINCRA database layers
  to the TopoGeo database\, facilitating the generation of descriptive memo
 rials and topographic maps\; Generate TXT for ODS Spreadsheet - Creates a 
 text file with data needed to fill the SIGEF ODS spreadsheet\; Fill Vertex
  Code - Automatically fills the vertex code attribute in the GeoINCRA data
 base's vertex layer\, easing the work of the georeferencing professional.\
 n\nMethodology and Results:\n\nThe adopted methodology includes the modeli
 ng of geospatial data in a Geopackage database\, the implementation of a p
 lugin in QGIS\, and the integration of these elements to optimize the geor
 eferencing workflow. The GeoINCRA database was designed to store topograph
 ic data in a standardized and integrated manner\, while the GeoINCRA plugi
 n automates processes that traditionally would be manual and prone to erro
 rs.\nThe results achieved with the use of QGIS+GeoINCRA are: Automation of
  ODS spreadsheets that were previously done manually\; Reduction of the ti
 me to prepare the spreadsheets by 80%\, as the spreadsheets are generated 
 in bulk\, i.e.\, hundreds of plots can be generated at once\; Elimination 
 of topological errors that were only seen when trying to insert the data i
 nto SIGEF (INCRA's georeferencing platform)\; Elimination of errors in tex
 tual attributes (spelling errors)\; Savings for the project\, without the 
 need to purchase licenses.\nThe results obtained demonstrate that the comb
 ined use of the GeoINCRA database and the GeoINCRA plugin results in great
 er productivity\, better data standardization\, and elimination of softwar
 e license costs. This approach facilitates access for small companies and 
 professionals to the georeferencing market\, aligning with federal governm
 ent policies on the use of FOSS and promoting independence and public reso
 urce savings.\n\nWho Benefits from the GeoINCRA+QGIS Solution:\n\nThe pres
 entation at FOSS4G 2024 will highlight how the use of FOSS\, exemplified b
 y QGIS and the GeoINCRA plugin\, can transform georeferencing projects for
  a diverse range of stakeholders. This includes government agencies\, envi
 ronmental organizations\, and small surveying companies\, particularly in 
 vast and environmentally critical areas like the Amazon. By reducing costs
 \, automating processes\, and ensuring high-quality results\, these soluti
 ons significantly contribute to land regularization\, environmental sustai
 nability\, and socio-economic development in the region. This approach ens
 ures that even resource-constrained entities can efficiently manage geospa
 tial data and meet regulatory requirements.
DTSTAMP:20260428T114458Z
LOCATION:Room IV
SUMMARY:FOSS Applications in the Amazon through the GeoRondônia Project wi
 th the GeoINCRA Plugin in QGIS - Leandro França\, Dra. Ranieli dos Anjos 
 de Souza\, Valdir Moura\, Tiago Prudencio Silvano
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/PKSLDT/
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