An Open-Source Mobile Geospatial Platform for Agricultural Landscape Mapping
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Number of Parts | 351 | |
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License | CC Attribution 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
Identifiers | 10.5446/68976 (DOI) | |
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Production Year | 2022 |
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00:00
System programmingOpen sourceTexture mappingOpen sourceTexture mappingBitComputer animation
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Mathematical analysisContext awarenessMotion captureOpen sourceChannel capacityIterationService-oriented architectureInformation and communications technologyModel theorySystem programmingNeuroinformatikComplex analysisSoftware testingCASE <Informatik>InformationScale (map)PlastikkarteData recoveryDependent and independent variablesForestArchaeological field surveyData analysisSpatial data infrastructureTexture mappingData storage deviceTraffic reportingVulnerability (computing)PrototypeGroup actionInterior (topology)Digital rights managementVisualization (computer graphics)NumberDependent and independent variablesPlotterArchaeological field surveyPopulation densityClient (computing)Texture mappingQuicksortAreaScaling (geometry)Data analysisInformationObservational studyObject (grammar)BitDigital rights managementGroup actionField (computer science)CollaborationismRight angleMathematical analysisUniform resource locatorSoftwareData structureData storage deviceServer (computing)SynchronizationSystem programmingChannel capacityNatural numberDiagramMotion captureOpen sourceService-oriented architectureInformation securityFunction (mathematics)Point cloudData recoveryComputer animation
03:17
Presentation of a groupComputer animation
Transcript: English(auto-generated)
00:00
Thank you for the introduction. I just want to present our work with my colleague John Duncan there at the back on our open source geospatial mapping in Pacific Island countries. So just a bit of background, Pacific Island countries are particularly vulnerable to climate change, and they rely on their landscapes for ecosystem
00:22
services, their livelihoods, and economic activity. And so for stakeholders and landscape managers to engage in climate smart, sustainable development, and disaster response and recovery, they need good spatially explicit information at a community scale that's timely. So our objective was to build a geospatial capture and analysis
00:43
system that was open source and long-term sustainable for these countries, and to build capacity with the Pacific Island countries we're working with. So we used an ICT4 development approach to provide us with the structure and rigor to work with our collaborators in building a geospatial system.
01:02
The case study that I'm just going to talk about in Tonga, we worked with the Ministry of Agriculture, Forestry, and Fisheries, and we identified a need to transition from paper-based crop surveys in Tonga to having spatial data infrastructure that's coordinated with large field teams collecting
01:21
data, the ability to map farm systems offline, and then to be able to data sync and store that data in a central location. And of course, to do geospatial data analysis and reporting, we focused first on the second largest island of Vavao in the top right hand there, and then
01:40
we moved to the largest island, Tonga Tapu, as we evolved our development. So this diagram represents the iterative nature of our development. So we started very simply with Qfield and QGIS, sort of off the shelf, if you like, and we did some very small surveys. So we started with some simple kitchen garden surveys,
02:01
for examples, and then we developed our own dashboard in Shiny to do a vanilla survey. We then moved to a more sophisticated client server architecture for a ploughing survey, and eventually we scaled up to a whole of island crop survey on the island of Vavao, and we introduced Qfield Cloud to manage and centralize
02:24
our data with large teams of people collecting data on mobile devices. And finally, we helped the ministry undertake a complete country cropping survey using Qfield and Qfield Cloud. So that was a great achievement, to go from paper-based surveys for the country
02:42
to being completely digital and spatial using open source software. And these are just some examples of the map outputs from the dashboard that we developed On the left, we have a map that shows tax allotments or areas of land that are underutilized, and this allows the ministry to dedicate resources
03:02
to improve farming and food security, and on the right, this map shows the density of kava being planted in different plots. So thank you for your attention, and if you're interested in more detail, please see our paper. Thank you. Thank you very much.