Rain Way

Project Info

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Team Members


Kevin

Project Description


GIS with Web camera applied on AI.
Predicting extreme weather is a complex algorithm. We not only need to create new technologies, but also need to integrate resources. The project is based on the combination of terrain, water pipeline map, gis map, meteorological radar and the latest AI training model to guide smart city planning and extreme weather forecasting.


#artificial intelligence #machine learning #prediction #human–computer interaction #big data #smart city #digital transformation

Data Story


GeoServer rainfall data will affect Agricultural Commodities data.
Harmonised National Roadworks related to C12 0 Flood Prone Hazard Areas Code and local government StormwaterNetwork.
The main picture is the Australian Department of Climate change, energy, environment alternate fuel data and how can we recognise climate change and how to action.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Agricultural Commodities data

Data Set

Harmonised National Roadworks

Data Set

Australian Department of Climate change, energy, environment alternate fuel data

Data Set

StormwaterNetwork

Data Set

C12 0 Flood Prone Hazard Areas Code

Data Set

GeoServer rainfall data

Data Set

Challenge Entries

Flood Risk: Understanding the impact of climate change on extreme weather events in Hobart

Hobart, Tasmania is prone to extreme weather events, especially flash flooding. How can we better understand the risk of flooding and build a robust model to illustrate the increasing regularity and intensity of flooding? What would the impact of coincident events look like? How can we develop a collaborative flood warning and alert system for Hobart?

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to understanding flood risk in the city of Hobart.

Go to Challenge | 7 teams have entered this challenge.

Celebrating Tasmania’s achievements

How might we use open data to celebrate Tasmania’s achievements and ensure Tasmania remains front and centre during national conversations?

Eligibility: Must use at least one open data source.

Go to Challenge | 6 teams have entered this challenge.

Flood, fire and the future: the road to resilience

Help transport planners find and predict which roads will be blocked or damaged in the next flood or bushfire

Eligibility: Must use at least one dataset from the National Freight Data Hub.

Go to Challenge | 11 teams have entered this challenge.

A hydrogen economy

How can Western Australia leverage the benefits of boosting the hydrogen economy? Why is WA the best place to take advantage of hydrogen projects?

Go to Challenge | 4 teams have entered this challenge.

How can we utilise organic wastage in Barossa, Gawler, Light and Adelaide Plains region?

What are the opportunities to value add using organic wastage in Barossa, Gawler, Light and Adelaide Plains region and what infrastructure/facilities required to implement them?

Eligibility: The solution to focus on Barossa-Gawler-Light-Adelaide Plains Region.

Go to Challenge | 2 teams have entered this challenge.