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UID:pretalx-foss4g-2024-academic-track-BBBU3X@talks.staging.osgeo.org
DTSTART;TZID=-03:20241204T150000
DTEND;TZID=-03:20241204T153000
DESCRIPTION:The National Institute of Colonization and Agrarian Reform (INC
 RA) is a body of the Brazilian federal government\, linked to the Ministry
  of Agriculture\, Livestock and Supply (MAPA). Its main mission is to exec
 ute national agrarian policy\, promoting agrarian reform and land planning
  in Brazil. INCRA works on several fronts to guarantee territorial regular
 ization\, sustainable development and social justice in the countryside.\n
 \nThe Amazon is a strategic region for INCRA due to its unique characteris
 tics and specific challenges. The body works on land regularization to gua
 rantee the legal security of squatters and combat land grabbing\, thus con
 tributing to environmental preservation\, and thus\, favors the control an
 d monitoring of rural properties\, helping to combat illegal deforestation
  and environmental degradation.\n\nFor regularization to become a reality\
 , INCRA has signed Decentralized Execution Terms in several Brazilian stat
 es. In Rondônia\, the partnership was established with the Federal Instit
 ute of Education\, Science and Technology of Rondônia (IFRO)\, through TE
 D 20/2021/INCRA-SEDE/IFRO\, called GeoRondônia Project. The project aims 
 to serve and document more than 25\,000 families and rural properties. To 
 achieve this\, the necessary steps are the georeferencing of properties\, 
 rural environmental registration and occupational supervision.\n\nThe geor
 eferencing of rural properties is a complex process that requires knowledg
 e in surveying\, legal aspects\, precision and efficiency. With the growin
 g demand for land regularization in Brazil\, especially in large areas suc
 h as the Amazon\, it is essential to seek solutions that reduce costs\, au
 tomate tasks and ensure data quality. This article presents the productivi
 ty gains achieved by the GeoRondônia project\, which uses QGIS and the Ge
 oINCRA plugin to automate tasks. The methodology developed involves data v
 alidation and quality control\, with automation implemented in Python\, en
 suring accuracy in property certification and the large-scale generation o
 f .ODS spreadsheets (certification document).\n\nThis is an innovative met
 hodology\, unavailable in any other Geographic Information System\, open o
 r private\, whose steps were developed to meet the highest technical quali
 ty standards for georeferencing projects with large volumes of data\, such
  as in GeoRondônia\, which has worked in settlements that have more than 
 2\,000 properties.\n\nInitially\, all georeferenced data processing dynami
 cs were carried out manually. In this way\, the Space Research Group (GREE
 S/IFRO)\, together with other collaborators from the Paraíba Institute (I
 FPB)\, has supported the project's actions for the development of innovati
 ve technology\, in order to optimize actions involving certification of ru
 ral properties\, using free tools.\n\nThe biggest challenge of the project
  is time and qualified labor\, therefore\, aiming to increase productivity
 \, the Free and Open Source Software Solution was developed\, called FOSSS
  GeoRondônia\, which integrates features from QGis and\, mainly\, the Geo
 INCRA Plugin . This set of functions enabled temporal gains\, professional
  qualification of employees and finances\, as it is completely free\, and 
 can -be replicated to any other large data volume project involving georef
 erencing.\n\nTo optimize demands\, the main steps of FOSSS GeoRondônia\, 
 after adjusting the observations tracked in the field to meet INCRA's posi
 tional accuracies\, are: a) elimination of topological errors in the geome
 tries of the settlement database\; b) elimination of errors when filling i
 n vertices and limits in the settlement database\; c) elimination of error
 s in the name of the property and .ODS spreadsheet\; d) generation of .ODS
  spreadsheets in an automated way and launch in INCRA's Land Management Sy
 stem (SIGEF).\n\nThe results obtained with FOSSS GeoRondônia are notable:
  Process Automation with the assembly of the database with greater securit
 y\, precision and practicality\; Automation in product generation\, where 
 ODS spreadsheets that were previously done manually are now generated auto
 matically\; Reduction of spreadsheet preparation time by around 70%\; Elim
 ination of topological and writing errors\, ensuring accurate and consiste
 nt data\; Cost savings using QGIS and the GeoINCRA plugin\, eliminating th
 e need for expensive licenses\, allowing for a more efficient allocation o
 f public resources.\n\nCurrently\, the GeoRondônia Project has already or
 ganized the databases for 8 Settlement Projects\, which make up around 1\,
 500 properties. A very productive result was the field collection\, proces
 sing and launch of 3 new Settlements (574 properties) in the state of Rond
 ônia in record time\, for launch by the Federal Government\, all carried 
 out between April and May 2024.\n\nThe processing of georeferenced data on
  a very high scale\, using FOSSS GeoRondônia\, allowed the generation of 
 products with precision and the consequent launch in SIGEF with reliabilit
 y\, which can be replicated for any project in Brazil. This has promoted g
 reater efficiency in the services performed\, and helped INCRA in meeting 
 the large volume of Agrarian Reform demands\, to transform rural settlemen
 ts into true agents of sustainability and productivity.\n\nBased on this\,
  we are interested in presenting this new functionality to the national an
 d international public present at FOSS4G\, and who are looking for free so
 lutions for different demands\, in order to promote the dissemination and 
 replication of the use of FOSSS GeoRondônia.
DTSTAMP:20260513T064429Z
LOCATION:Room I
SUMMARY:Free and Open-Source Software Solutions in the GeoRondônia Project
 : Efficiency in Georeferencing of Rural Settlements with QGIS and GeoINCRA
  plugin - Leandro França\, Dra. Ranieli dos Anjos de Souza\, Valdir Moura
 \, Marcelo Vinicius Assis de Brito\, Bárbara Laura Tavares
URL:https://talks.staging.osgeo.org/foss4g-2024-academic-track/talk/BBBU3X/
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