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UID:pretalx-qgis-uc2026-FBABMM@talks.osgeo.org
DTSTART;TZID=CET:20261005T170000
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DESCRIPTION:The Geological Survey of Brazil (SGB) has\, among its instituti
 onal responsibilities\, the development of studies aimed at territorial pl
 anning\, directly related to the country’s geological and geomorphologic
 al characteristics. In this context\, municipal susceptibility maps for la
 ndslides and floods stand out as essential tools for identifying areas pro
 ne to natural disasters and supporting risk management.\nThis work present
 s a case study describing the implementation of an integrated workflow for
  the production of these maps\, covering stages from the preliminary ident
 ification of susceptible areas to field validation and final cartographic 
 outputs. The proposed workflow uses QGIS for office-based activities and Q
 Field for field data collection and validation\, with data storage and int
 egration through GeoPackage and a PostGIS database.\nThe research emphasiz
 es the transition from traditional processes—often manual and reliant on
  proprietary solutions—to an automated model based on free and open-sour
 ce geospatial tools (FOSS4G). The main objective is to optimize the cost
 –quality–time balance in the production of cartographic products for g
 eological risk management.\nKey methodological innovations include the cus
 tomization of editable layers in QGIS\, using intelligent forms based on Q
 t widgets\, standardization of typologies\, and the implementation of auto
 mated calculations through virtual layers. These features enable field ope
 rators to obtain derived information in real time without the need for aux
 iliary instruments. Additionally\, the use of triggers in the PostGIS data
 base automates the population of spatial attributes\, such as municipality
  and state\, after synchronization of collected data. Each record is assig
 ned a UUID\, ensuring data integrity and traceability in a decentralized d
 ata collection environment.\nThe adoption of this integrated workflow resu
 lted in an estimated productivity gain of approximately 67%\, while also s
 ignificantly improving the standardization of final products. The incorpor
 ation of these routines directly into QField enabled greater consistency i
 n field surveys and data structuring\, resulting in more reliable and comp
 arable cartographic outputs.\nThe results demonstrate that the combined us
 e of QGIS and QField not only accelerates the production of susceptibility
  maps but also enhances their technical quality and standardization. This 
 methodological advancement has enabled SGB to increase the number of publi
 shed maps with greater efficiency and reliability.\nFinally\, the adoption
  of integrated open-source platforms represents a strategic advancement in
  natural disaster prevention projects\, directly contributing to the gener
 ation of critical information for population protection and risk reduction
 \, with a direct impact on saving lives and promoting sustainable territor
 ial planning.
DTSTAMP:20260724T214547Z
LOCATION:Capalari
SUMMARY:QGIS + QField Applied to Landslide and Flood Susceptibility Mapping
 : A Case Study in Mirim Doce\, SC\, Brazil - Carlos Eduardo Mota
URL:https://talks.osgeo.org/qgis-uc2026/talk/FBABMM/
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