Geospatial IoT Insights – October 20

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Historical records may underestimate the rising sea level. A new study using NASA satellite data finds that tide gauges — the longest and highest-quality records of historical ocean water levels — may have underestimated the amount of global average sea level rise that occurred during the 20th century. [NASA]

The here and now of big geospatial data. Another brain-stimulating overview of recent real-world examples of using geospatial data. Logistics, fraud data, retail, finance, shipping, advertising – and the list continues. The article also lists specialized geospatial databases which is something one needs in order to manage and access geospatial big data. [Datanami]

McKinsey has released an extensive report on the monetization of car data. Abundance of sensors and continuous connectivity is almost a standard for new cars today, and this will create new market opportunities. McKinsey claims that the global revenue from car data monetization could reach $750 billion by 2030. The 61-page report sheds light on how industry players can quickly build and test car data-driven products and services and develop new business models around them. It also identifies and assesses the value and requirements of potential car data-enabled use cases.  [McKinsey]

Join Planet OS Data Challenge At Garage48


We’re thrilled to be part of the Garage48 Open & Big Data Hackathon happening this weekend in Tartu, Estonia! To add some motivation to the 48h of intense coding and hustling, we decided to put out tons of high-quality environmental data, data integration and computational infrastructure, and reward the best teams with some cool prizes.

All hackathon participants will get free, unlimited access to:

The prizes:
- All teams that use our data tools will secure an unlimited free access to Planet OS data tools
– Three teams with the best solutions will get special swag and surprises from Planet OS
– The team that comes out with the best prototype that runs on Planet OS Datahub, will be rewarded with €1,000!

We have already validated a few business ideas that the teams could work on. Stay tuned for updates! All the updates will be shared on this page so it would be wise to bookmark it. Note that you will definitely stand out if your solution uses some elements of Machine Learning.

#PlanetOS  #DataChallenge

Carbon Dioxide Data Now Available On Datahub

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The carbon dioxide data, measured at the premier atmospheric research facility, Mauna Loa Observatory in Hawaii, is now available in Datahub:

The data, measured as the mole fraction in dry air, constitute the longest record of direct measurements of CO2 in the atmosphere dating back to May of 1974. As this dataset has a long, properly measured time series, it’s been widely used to show the connection between the level of Carbon Dioxide and global climate warming. Also, the unique geographic location of Mauna Loa Observatory – far from big industries and air pollution – makes it a reliable source.

The data are reported as a dry mole fraction defined as the number of molecules of carbon dioxide divided by the number of molecules of dry air multiplied by one million (ppm).

In addition to the carbon dioxide data, there are thousands of variables of other high-quality Earth Science data available in Datahub. Now that different kind of weather, climate, and oceanic data is made easy to find and work with, it’s time to build your own application. Let me know at if you want to discuss your idea.

Geospatial IoT Insights – October 13

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On the note of climate change, we recently witnessed the world passing 400 PPM threshold in the scale of atmospheric carbon dioxide. This week, Weekly Mean Carbon Dioxide Measured At Mauna Loa Observatory, Hawaii was made freely available in Planet OS Datahub. It’s one of the key datasets helping to measure the state of atmospheric carbon dioxide that can now be easily used in different monitoring application, data analytics project, and elsewhere. [Climate Central]

Why we need a data infrastructure? The UK based Open Data Institute marvelously summarizes 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 great, inspiring story to everyone working with open data. []

Jed Sundwall of AWS recommended a good article – 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. [Earth Imaging Journal]

Geospatial IoT Insights – October 6

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The industrial IoT has already proven its versatility with deployments going live in a number of enterprises, showing off dozens of different use cases. But a few key uses consistently present themselves within the same trade, and even throughout different industries. Industrial IoT 5G has listed the Top 5 industrial IoT use cases which have a more recurring nature, compared to others. The highest ranking use case is predictive maintenance, and our experiences with Powerboard can only support this conclusion. [Industrial IoT 5G]

IBM is pushing its Watson IoT platform and we saw many stories covering it last week. Here’s one of them: Aerialtronics’ commercial drones are the first to leverage the IBM Watson IoT Platform and the Visual Recognition APIs to analyze images and identify specific areas of concern such as loose or frayed cabling and damaged equipment. [Sensors & Systems]

Tackling climate change was in the focus of SXSL at the White House last week. The search for viable solutions is heating up and we at Planet OS firmly believe software and data have a key role in identifying and solving the key pain points of the climate change. The climate change discussion at SXSL can be summarized by President Obama’s quote during the main panel: “We’re seeing climate changes at the more pessimistic end of the range that was anticipated by scientists. So we’re really in a race against time”. [Techcrunch]

Thoughts From The Wind Europe Summit 2016

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As I reflect on what I observed at Wind Europe Summit and Wind Energy Expo in Hamburg last week, I am left with three lingering thoughts.

  • The wind energy industry is clearly maturing as the new projects get larger and less frequent and much more competitive for the operators and suppliers. Also, the market growth rate seems to have slowed some from recent years, and the number of operators and suppliers is beginning to consolidate. All of this adds up to fewer, larger industry players which is a clear signal of a maturing industry.
  • Another obvious trend is the continued innovation and drive to lower the cost of wind energy. There is a relentless theme of cost reduction across all the segments of the value chain, from equipment OEMs, to operations and maintenance, to energy trading and distribution. For example, Sentient Science introduced a new data science model that can predict gearbox component failure. New technology in floating turbines and energy storage has the potential to open up large new markets for wind energy which will increase the market size dramatically to further reduce costs.
  • Finally, many speakers and people I talked to suggested that the industry needs to move beyond component and segment level optimization and start to approach challenges with a full system level view. Hans Bunting, COO of Renewables at Innogy made this point several times during the Technologies for Transition session. To move the industry forward, we need to take a system wide, technology independent, full supply chain view of the problem from the equipment, to the operator, through distribution all the way to the end consumer. Breaking down the barriers across the supply chain and even between different renewable technologies (wind, solar, hydro) is the best way to move the industry forward.

New NAM Weather Forecast Data Now Available

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This week we’ve added an additional NAM weather forecast to the Planet OS Datahub, which now provides API access to seven North American Mesoscale Forecast System products:

NAM dataset provides a 60-hour forecast of pressure-level fields at 1-hourly and 3-hourly time steps and covers the contiguous United States at a 5 km resolution.

Researchers use NAM as a driver for complex air pollution simulations, but it is also used by public and private meteorologists to guide near-term weather forecasts within the United States. In a hierarchy of weather forecast models, it falls between the global medium range forecast GFS and the rapid refresh model HRRR.

Visit the Planet OS Datahub to access this dataset and over 2,100 variables from the world’s leading Earth Science data publishers. Interested in discussing different datasets and developer tools with researchers, developers and data scientists from around the world? Join our Slack community:

Planet OS Community on Slack

NASA Climate Data Webinar Resources

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On September 21, we hosted our very first Product Webinar with Dr. Sangram Ganguly (NASA Ames & BAERI) and myself, where we discussed How to Easily Analyze NASA Climate Models using the Planet OS OpenNEX Data Tool. I would now like to share some of the resources and materials we used during our session so that you could try them out yourself.

Please let me know at if you have questions or comments.

See you at the next #PlanetosWebinar!

Geospatial IoT Insights – September 28

Euroconsult published its forecast for satellite-based Earth Observation market growth through 2025. The commercial data market totaled $1.7 billion in 2015 and is anticipated to total $3 billion in 2025. The value-added services market reached $3.2 billion in 2015, and is growing at a faster rate than the data market alone (11% 5-year CAGR). Notably, the commercial data and value added services key markets are not overlapping. Defense represents 61% of the commercial data market, followed by maritime, infrastructure, and resources monitoring sectors. In these fields, most of the analytics is performed in-house. On the other hand, value added services market relies often on lower-cost, coarser resolution data. [GISuser]

What’s the Difference Between Consumer and Industrial IoT? A simple question, but not so easy to answer. Electronic Design has published a much needed comparison of different types of IoT, explaining where exactly the line is between Consumer IoT, Commercial IoT, and Industrial IoT. [Electronic Design]

A useful source worth looking at when you are planning to get started with your first IoT project: the Linux Foundation has listed 21 open source projects for IoT. [The Linux Foundation].

Geospatial IoT Insights – September 21

Industrial IoT will score over consumer IoT. While until 2014, consumer-focused IoT solutions garnered a slightly higher share of total IoT investments, industrial IoT solutions attracted over 75% of funding in 2015 as compared to consumer IoT companies. This trend is expected to continue in 2016 by a larger order of magnitude—2-3 times more than consumer IoT. [Livemint]

NOAA has released its final Ocean Noise Strategy Roadmap, which will guide the agency in more effectively and comprehensively managing ocean noise effects on marine life during the next decade. This will create a demand for ocean noise related applications. To understand the importance of ocean noise, it’s good to read an interview we made with Dr. Christopher W. Clark when he joined us some years ago. [NOAA]

There is a continuous effort to improve climate models, and the researchers have now discovered how to make global weather and climate models to better capture the effect of clouds on climate. It’s just one example how data products can be improved by adding new data sources. Which again is one of the goals we are hoping to reach with Planet OS Datahub while making all environmental data easily findable and accessible via single, consistent API. [Earth & Space Science News]