Geospatial Internet of Things.
Science and technological innovation go hand-in-hand in leading toward a new and exciting era of intelligent and robust human-computer interactions. Environmental science applications are especially in the forefront of science and technology development. The magnitude and scale of environmental and climate changes affect more and more our societies at all scales: from our planetary boundaries, all the way to the smallest communities.
In the face of climate change, small coastal and island communities are among the most vulnerable and risk-exposed ones. The development of intelligent environmental sensors and monitoring applications allows us to achieve a multitude of goals: exposing communities, and decision makers to the realities of contemporary environmental change; aiding visual and comprehensive understanding of the core science of environmental and climate change, and; aiding citizens and communities at large in adapting to change, reducing their vulnerability, and mitigating associated risks.
In this web page, we will demonstrate a truly integrated and intelligent Internet of Things (IoT) environmental sensor technology application using weather, environmental and locational GPS sensors. The development and deployment of microprocessors (e.g., Raspberry Pi, Arduino) and cloud sensor technology, along with a real-time visualization and data analytics (machine learning) environment are some of the technological tools we use in our GeoCAS Robotics and Environmental Sensor Lab (RESL).
By visiting the next few links and wep pages, you can discover the value and excitement of real-time, intelligent data sensor streams of environmental applications. You can also see how such technologies, tools and applications can help raise awareness and improve understanding of how technological innovations can lead our efforts for a sustainable and resilient natural environment.