These tutorials instruct on a workflow for collecting, visualising, and analysing spatial data for mapping and monitoring diverse landscapes.
This workflow is comprised of open-source geospatial applications:
Please visit the Livelihoods and Landscapes project site for more information about how these geospatial applications are being used for monitoring agricultural landscapes.
This workflow uses QField mobile GIS for mapping diverse landscapes and how landscape resources are used in-the-field. There are three introductory lessons that outline the steps required to setup a QField data collection project followed by tutorials demonstrating how QField has been used by landscape stakeholders in Fiji and Tonga.
Slide deck demonstrating how QField can be used for farm and crop surveys.
Use QField to map landscape features used to support livelihoods
Use QField to collect ground truth points for validating land cover maps generated from satellite images.
Second tutorial, using QField to collect ground truth points for validating land cover maps generated from satellite images.
Introduction to map.landscape dashboard for syncing, visualising, and analysing landscape data collected in-the-field.
Use machine learning and satellite images to map inter-annual landscape dynamics.