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UID:pretalx-foss4g-2022-TERMMU@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T110000
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DESCRIPTION:Maplandscape is a stack of open-source geospatial applications 
 designed to enable mapping of agricultural landscapes and farm systems. It
  supports large team in-the-field mobile data collection\, provides tools 
 for data syncing and management\, and easy visualisation and querying of s
 patial information for decision making and reporting. The workflow has bee
 n developed and deployed in Tonga through a collaboration between universi
 ties in Australia and the South Pacific\, and Tonga’s Ministry of Agricu
 lture\, Food\, Forests and Fisheries (MAFF). Maplandscape is currently bei
 ng used in Tonga to map crop\, livestock\, agroforestry systems\, and farm
  management practices\; over 11\,000 farms and four island groups have bee
 n mapped so far. This information has been used to inform agricultural pla
 nning and resource allocation\, disaster response\, land utilisation asses
 sment\, tracking land use changes\, and monitoring of the condition of key
  commercial crops. \n\nThe Maplandscape workflow is based on QField for in
 -the-field data collection and QFieldCloud for data syncing\, storage\, an
 d user authentication and management. Using QField mobile GIS\, key agricu
 ltural landscape features (e.g. crop parcels\, paddocks\, fallow land) can
  be spatially mapped\, and rich attribute information can be captured thro
 ugh various widgets and flexible and complex form logic\, with support of 
 reference geospatial layers. Three cloud-based applications have been deve
 loped that build on top of the QFieldCloud API to provide geospatial data 
 visualisation and analytics tools. These applications provide differing an
 d complementary functionalities\, and facilitate quick analysis\, publishi
 ng\, and reporting of data collected using QField and stored using QFieldC
 loud. The apps are built using Shiny\, Leaflet\, ggplot\, and DataTables s
 oftware\, and are deployed using ShinyProxy and docker containers in swarm
  mode. These applications use the QFieldCloud API to authenticate users an
 d retrieve data and an R package has been developed to handle this interac
 tion within Shiny apps. The goal of these applications is to speed up the 
 process of data collected using QField informing agricultural monitoring\,
  planning\, and decision making activities. A summary of these geospatial 
 data visualisation and analytics applications is provided below.\n\nmaplan
 dscape-view is a web app that allows users to query and view spatial data 
 on interactive maps and data tables and generate reports comprising cartog
 raphic outputs\, charts\, and summary tables directly from QFieldCloud dat
 a. maplandscape is a web app that allows users to specify and apply custom
  geospatial data querying\, analysis\, and visualisation tasks to their QF
 ieldCloud data in a web browser and with a simple UI interface. This appli
 cation enables users without a GIS background to extract information from\
 , and analyse\, rich datasets collected in-the-field using QField\; for ex
 ample\, agricultural officials in Tonga used this application to generate 
 village- and district-level crop area summary tables for their annual repo
 rt. Finally\, maplandscape-admin provides tools for users to manage their 
 QFieldCloud projects and accounts.
DTSTAMP:20260411T100258Z
LOCATION:Modulo 0
SUMMARY:Maplandscape - an open-source geospatial workflow for agricultural 
 landscape monitoring - John Duncan
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/TERMMU/
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