Geospatial IoT Insights — October 13

On the note of climate change, we recently witnessed the world passing 400 PPM threshold Remotely sensed imagery, combined with location data collected locally or via connected devices, exponentially compounds the ways to analyze spatially.in the scale of atmospheric carbon dioxide. Planet OS Datahub made last week available the Weekly Mean Carbon Dioxide Measured At Mauna Loa Observatory, Hawaii. This is one of the key datasets helping to measure the state of atmospheric carbon dioxide, so here’s your chance to use it as an input in your monitoring application, data analytics project, or elsewhere. [Climate Central]

Why we need a data infrastructure? The UK based Open Data Institute summarizes marvelously its data revolution narrative. Data is an infrastructure which, engineered correctly, can generate extraordinary amounts of economic and social value. Projects, such as open access monitoring of water provision quality to soil analysis to improve farming practices for better food security, are vital in accelerating development — and these are just the start. A recommended story if you are looking for inspiration to work with open data. [ComputerWeekly.com]

Jed Sundwall of AWS hinted about a really good article in Earth Imaging Journal — Earth Observation and Big Data: creatively collecting, processing and applying global information. Remotely sensed imagery, combined with location data collected locally or via connected devices, exponentially compounds the ways to analyze spatially. To help Earth observation at Big Data scales, teams outside GIS and remote sensing are increasingly rising to the challenge to understand data sources, management and processing. The article explains the problems and solutions for each of those. [Earth Imaging Journal]

Climate change has doubled Western U.S. forest fire area. A new study states that the area affected by forest fires in the U.S. West has doubled over the last 30 years as a result of human-induced climate change. According to the study, since 1984, heightened temperatures and resulting aridity have caused fires to spread across an additional 16,000 square miles than they otherwise would have. The authors warn that further warming will increase fire exponentially in the coming decades. If you are looking for climate data to estimate similar trends for any area in the world, then the Planet OS OpenNEX climate data tool is probably the best way to get started. [Columbia University Earth Institute]

5 examples of how the Industrial IoT is changing manufacturing. Schaeffler, an automotive and industrial supplier, shares their experiences of how Industrial IoT connectivity can improve and drive manufacturing. Schaeffler has a partnership with IBM’s Watson IoT platform and the first phase of integration with IBM’s solutions involve five areas of focus: 1) Optimizing maintenance in wind energy, 2) Digitized monitoring and optimization of trains, 3) Connected vehicles, 4) Industry 4.0 for machine tools, and 5) Connected equipment operations centers. [Engineering.com]

And finally, some references related to Planet OS datahub. When Hurricane Matthew recently approached the East Coast, we saw a variety of data visualizations and interactive heatmaps illustrating the events as they unfolded. But have you ever thought where all of this data comes from? Sensors&Systems listed a variety of sensors that tracked Hurricane Matthew. Furthermore, after accessing data available in our datahub, you normally use some external tools to manipulate the data. As our user community is slowly growing, one of the datahub users has created some nice examples of how to use Planet OS datahub API with Mathematica on real apps. See the examples on Github.


Originally published at planetos.com on October 12, 2016.

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