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UID:pretalx-foss4g-2024-QY73JW@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T170000
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DESCRIPTION:Since 2013\, the Brazilian Army Geographic Service has been com
 mitted to migrating its geospatial production into Free and Open Source So
 ftware (FOSS). DSGTools\, a QGIS plugin released in 2015\, is a result of 
 this effort. Currently in version 4.14.0\, DSGTools’ features have been 
 used to produce massive amounts of spatial data and have been consolidated
  as the Brazilian Army’s official geospatial production suite.\n\nDSGToo
 ls offers features such as database creation according to the Brazilian ca
 rtographic legislation\, layer loading with resolved domains and easy WMS 
 service access from BDGEx\, the Brazilian Army Geographic Service SDI. In 
 addition\, DSGTools offers a wide range of extraction tools such as the ri
 ght angle digitalization tool\, the free hand digitalization tool\, the ge
 neric selection tool\, the raster selection tool\, the feature inspection 
 tool\, the DSGTools Processing Algorithm Provider and the Geospatial Data 
 Quality Assurance Toolbox (QA Toolbox)\, which is one of the standout feat
 ures of DSGTools.\n\nThe QA Toolbox runs processes called workflows\, whic
 h consists of a series of interconnected sequential tasks based on QGIS mo
 dels executed in a predefined sequence. For each step in this sequence\, t
 he QA Toolbox executes a geospatial data processing task\, ranging from da
 ta cleaning and identification of data inconsistencies.\n\nMoreover\, the 
 primary objective of the QA Toolbox is to automate the identification and 
 correction of geospatial data issues introduced during the data extraction
  process. The execution of a workflow is carried out sequentially\, stoppi
 ng only in specific cases\, depending on the configuration chosen by the u
 ser. A workflow can have its execution halted when spatial inconsistencies
  called flags are produced after a model is executed. If a flag is raised 
 during the execution of a workflow\, the process halts immediately\, promp
 ting users to address the identified issue before proceeding. The QA Toolb
 ox also prevents users from forcing the execution of followup tasks withou
 t fixing the flags raised in the current step. By forcing the users to cor
 rect the errors pointed out before continuing the process\,  the propagati
 on of unhandled inconsistencies is prevented.\n\nThe DSGTools Geospatial D
 ata Quality Assurance Toolbox usage can reduce the required time and effor
 t invested on geospatial data production. Users can also create complex wo
 rkflows that operate independently. The use of a predefined sequence of mo
 dels ensures that each step in the data processing is performed consistent
 ly\, following standardized procedures like the Brazilian Standards of Geo
 spatial Data Production set by the National Infrastructure of Spatial Data
  (INDE). This consistency is crucial for maintaining high-quality geospati
 al datasets\, especially in large-scale projects. The flagging mechanism i
 s a key component of the Brazilian Army Geographic Service’s production 
 line\, ensuring that errors are promptly addressed and preventing the accu
 mulation of issues that could compromise the overall quality of the datase
 t.\n\nAdditionally\, the execution status of the DSGTools Geospatial Data 
 Quality Assurance Toolbox can be saved within the user’s project\, allow
 ing the QA process to be carried out over multiple days. Since DSGTools wo
 rkflows are built using QGIS models\, they harness the full power of the Q
 GIS processing toolbox and various plugins\, including the 159 processes a
 vailable in the DSGTools Processing Algorithm Provider.\n\nIn this talk\, 
 we will showcase all the DSGTools Geospatial Data Quality Assurance Toolbo
 x features and highlight its usage in real-world use cases of geospatial d
 ata production. DSGTools is available at the QGIS Plugin Repository\, and 
 its code is hosted on GitHub at https://github.com/dsgoficial/DsgTools.
DTSTAMP:20260428T025506Z
LOCATION:Room III
SUMMARY:DSGTools Geospatial Data Quality Assurance Toolbox: An Automated Wo
 rkflow Suite for Quality Assurance - Philipe Borba
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/QY73JW/
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