SAS and Attentis are helping to improve the flood and fire response as the climate changes.
As Earth Day approaches, we continue to see the impact of climate change everywhere. In Eastern Australia, this influence may feel biblical.
Heavy rains in February and March this year have caused some of the worst floods in history. At least 20 people have died and tens of thousands of homes and businesses have been flooded.
And the 2019-2020 bushfire season burned millions of acres, killing 33 people and destroying thousands of homes. The fires also decimated wildlife, with an estimated 3 billion animals in the path of the flames.
Australia’s iconic koala has experienced a sharp decline in the population and is now endangered. Among the reasons? Climate-related weather events such as fires and floods as well as habitat destruction from development.
Technology drives rapid response and robustness
Attentis, an Australian technology company, has designed and manufactured a range of intelligent sensors which supplies local officials and emergency teams real-time information and monitoring. These sensors are powered by artificial intelligence (AI) and machine learning from SASleader in analysis.
“Our sensor network helps monitor, measure and mitigate many of the effects of climate change, from fires to floods to air quality, soil and environmental health and more.” said Attentis Managing Director and Founder Cameron McKenna.
Attentis’ multisensors are now equipped with AI-embedded SAS® IoT analysis, allowing local officials to identify conditions and environmental factors for the first time – such as fire ignition and rapid water level rise – and respond immediately, while continuing to measure and monitor living environmental conditions to help with situational awareness. “
Operates the world’s largest environmental monitoring network
Attentis has created the world’s first integrated high-speed sensor network throughout Australia’s Latrobe Valley. Today, this network the world’s largest real-time environmental monitoring network.
Covers 913 square miles, Latrobe Valley Information Network and its range of AI-powered sensors collects and delivers vital data that has improved local agriculture, utilities and forestry, as well as emergency services.
Thousands of local and adjacent residents now have access to this data on a regular basis to monitor rainfall, air quality, fire starts, weather and more.
Collecting more situation data in real time via Attentis sensor networks and quickly uncovering key insights from this data using SAS Analytics for IoT means that local officials can make better, faster and more informed decisions that protect citizens, property and natural resources.
“SAS and Attentis are increasing the resilience of the people of Latrobe Valley to fires, floods and other challenges caused by climate change.” said McKenna.
Protection of koalas and endangered species with AI
Historical data can also be used by public and academic researchers who want to protect endangered species such as the koala. Understanding and monitoring koalas – such as forest fires and floods – can help scientists assess population health and develop strategies to maintain koalas.
SAS AI technologies are already being used to protect other endangered species. See how WildTrack uses SAS Analytics to protect cheetahs, rhinos and more.
The artificial intelligence of things
Advanced analytics like AI help leverage the value of the Internet of Things (IoT). Data management, cloud and high-performance computing techniques help manage and analyze the influx of IoT data from sensors like those built by Attentis. Insights from streaming analytics and artificial intelligence support digital transformation efforts across a wide range of industries – retail, manufacturing, energy, transportation, government and more – that improve efficiency, convenience and security.
“With fires and floods, every second matters. By combining Attentis’ intelligent sensors with our cloud-native SAS Analytics for IoT solution, we accelerate the speed and accuracy with which officials can respond to these environmental threats.” said Jason Mann, Vice President of IoT at SAS. “For example, with intelligent sensor networks and predictive analytics, emergency response personnel can now continuously and accurately assess real-time elevations, rainfall and soil moisture. By closely monitoring and analyzing this data, these officials can quickly act on new insights and issue early floods to high-risk areas. which may be affected – or flooded – by severe weather. “