Data Story
Multiple Data Sets collide to create a community solution to care for our diverse Wildlife. Geospatial and tracking data will linked with education and emergency to increase the ability to engage with, track, monitor and care for the bio-diversity of our planet.
Using machine learning image recognition and predection, we create individual profiles for our iconic Wildlife, such as Koala's and Kangaroos. This allows for community based, non-invasive tracking to combine with real-time tracking data to monitor these creates as they go about their lives. For each uniquely identified animal a profile is create to drive communicty engagement.
Tracking data is overlayed with regional data to update the status of animals. This will show if an animal is in at risk of threats from fire, floods or habitat destruction.
Not all data currently exists for all regions, so we have comined a variety of existing data sets as a foundation for our pilot. This will include
Cadastre Data - to determine if Koalas are on private property or not
Park boundaries - such as queensland Parks and Wildlife Service" - to determine if koalas are in National Parks, unexpected environments and provide warnings to end users or other.
Threatened Habitats - to provide warnings and education to end-users or assist with relocation
Bushfire prone areas - to aid with planning and response
Flood extent series - to aid with planning and response
Asset Registers and Heavy Vehicle Infrastructure Ratings - to determine if heavy vehicles can access animals in danger areas or during disaster events
Nature Maps - eg: The Canberra Nature Map, to enhance the value proposition of the guided educator component of the application for example Teachers, Scout Leaders
The following system integrations are considered and assumed as part of this application
QFES Planned Burn Application - levereage "Permit to Burn" data and integrate with application process to enhance the consideration of our wildlife as part of the pre-approval process
NGO animal care orgnisation - to provide super user access to update/verify records from their NGO system
MBRC Surveilence video (wildlife underpasses etc) to add image data to the collection
Alert Systems to RSPCA - to report all wildlife emergencies such as sick, injured or orphaned animals
The full data collection will plotted in GIS. A reduced and delayed (12hours) public data set will be embedded into the App to drive community engagement/awareness for example; our Koala population. This will also support our tourism industy by improving the liklihood of our visitors sighting our wildlife in a natural environment.
