Rosa Aguilar
Rosa Aguilar is originally from Venezuela and holds two master's degrees and a PhD. Before joining ITC at the University of Twente, she worked as a deputy president of the Geographic Institute of Venezuela. She previously accumulated experience in Geographic Information Systems (GIS), remotely sensed image analysis, spatial database management, and spatial data infrastructure (SDI).
Rosa was recently appointed as an Assistant Professor at the University of Twente and is an active member of the QGIS community. She enjoys working with communities in participatory contexts as well as developing machine learning models for evidence-based decisions.
Sessions
Collecting data in the field has become an essential task in most geospatial workflows. Geospatial data collection using mobile applications is expensive because it involves human effort, and several considerations need to be taken into account. Geospatial professionals should ensure high-quality data so that the capital effort employed yields reliable results, as collected data often represents an input for downstream processes.
This talk will share practical insights and experiences from a fieldwork project conducted in Mozambique for agricultural applications using QField and QField Cloud. It will illustrate from practical examples how to effectively set up forms, capture EXIF information from photos, and navigate the constraints encountered during fieldwork. The presentation will provide user-level tips and tricks to maximize the potential of these powerful tools for geospatial data collection and management.
The talk will also summarize the most important lessons learned from a recent experience in Mozambique by describing common issues encountered during fieldwork in remote areas, solutions or workarounds for overcoming these challenges, and some recommendations for fieldwork data collection design. The showcase focuses on agriculture; however, practical examples apply to any tool that uses QGIS forms.