Now you can help NASA improve its global land cover maps
Did you know, the smartphone in your pocket is your key to becoming a contributing mapmaker at NASA? The space agency’s newly-launched ‘Adopt a Pixel’ program is inviting all citizen-scientists to help NASA improve its global land cover maps. The initiative is a part of NASA’s citizen science program called GLOBE Observer which was launched in 2016.
In ‘Adopt a Pixel’ all you need to do is photograph the landscape around you, up to a distance of 50-meters in each direction, and submit the pictures to the GLOBE Observer app (available on both iOS and Android). You can even go a step further by recording your observations about the land cover (what do you see – trees, grass, etc.?) and validate them against the satellite data.
The basic aim of ‘Adopt a Pixel’ is to provide the science community with details of the landscape that are too small for NASA’s land-mapping satellites to see. Now, to be clear, there are some parts of the world for which high spatial resolution maps are available – but the same cannot be said for every place on Earth.
According to Peder Nelson, a land cover scientist at Oregon State University, “Even though land cover is familiar to everyone on the planet, the most detailed satellite-based maps of global land cover are still on the order of hundreds of meters per pixel. That means that a park in a city may be too small to show up on the global map.”
On its own, that may not seem like much, but cumulatively, this issue can lead to a lot of inconsistencies in global maps. And these inconsistencies only add on to a community’s vulnerability to disasters like fire, floods or landslides. Scientists need to have a thorough understanding of the land cover of a region to see how it can influence the way water flows or carbon is absorbed from the atmosphere. And this is what makes ‘Adopt a Pixel’ a great initiative.
As NASA’s 60th anniversary approaches, the agency has even organized a fun challenge to kickstart the data collection for ‘Adopt a Pixel’. Map as much land as you possibly can between Sept 22 and Oct 1, 2018. If you are among the top 10 citizen-scientists who map the most land, NASA will give you a shout-out on its social media handles along with a certificate of appreciation from GLOBE Observer. Get started here.
Missed out on attending the Location Intelligence Event of the year? Here’s an overview
CARTO held its second edition of the “CARTO Locations” event earlier this year in Madrid and in New York. CARTO Locations is a unique event that is not only a user conference but also a (great) technical conference about all things Location Intelligence. It is the event you should attend if you like an answer to the question, “What would the world build if they had access to a tool that made GIS easy and intuitive? What insights would they derive from their data?“
Why such high praise for CARTO Locations?
When I first read Eric’s account of his experience at the first edition of CARTO Locations conference held in 2017 which he called “One of the best Location Intelligence events ever”, I wanted to get a firsthand experience of the event and see for myself if it really lives up to such praise. Plus, I also wanted to say hello to the amazing people at CARTO in person for a change 🙂 I had the opportunity to attend the event in Madrid earlier in April this year. And what do I think about it? Well, the fact that I am still blogging about it roughly 6 months after the event was held, answers the question, I suppose.
CARTO Locations is definitely one of the most interesting and informative conferences on Location Intelligence. In my humble opinion, it is definitely the Location Intelligence event of the year. At the end of 2 days, you leave the conference all excited and hyped about all the things you can do with Location Intelligence! I’m not sure how many events have the same kind of impact. And make no mistake, CARTO Locations 2018 was definitely about CARTO showing off their products but they struck a fine balance between that and ensuring they showcased amazing work and products from all across the Location Intelligence community.
CARTO Locations 2018 Overview
If you missed the event or didn’t see all our tweets from the event, Here’s a quick recap of the top highlights of the event. You can watch all the keynotes here.
There’s never been a better time for geography
The event opened with an incredible and positive keynote by Javier, CEO of CARTO. A picture says a thousand words and Javier’s slide said it all (image below). Javier spent close to 5 minutes talking about Madrid, his hometown and how the city has been using data to transform itself which honestly, was totally refreshing and interesting to hear about. His keynote set the tone for the entire event – “What can you do with all this location data? What insights can one derive? What does the future hold for Location intelligence”.
Mastercard Retail Location Insights
When you think about MasterCard and GIS (or Location Intelligence) what’s the first thing that comes to your mind? I can tell you what I didn’t have in mind – a website that helps customers locate an ATM near them (from the 90s!).
On a serious note, MasterCard’s keynote was truly the most insightful keynote (for me). What do you do when you have global spend insights from 2.3 billion cards that are making 160 million transactions every hour? You anonymize and aggregate that e-commerce information stream with the power of location intelligence, and create a platform that would provide industries like banks, governments, retail and real estate companies with dynamic insights.
Mastercard Retail Location Insights is the result of collaboration between CARTO and Mastercard helps governmental organizations and corporates measure and validate the sales-based performance of any retail location. Imagine your city has decided to build a new bike-sharing service and are building multiple bike-stations across the city. How do they measure the financial impact of these newly built bike stations? That’s where Mastercard Retail Location Insights comes into play!
Transforming Mobility with TomTom Location Data and Technology
TomTom knows how important location is for a lot of industries. Maps are getting more and more sophisticated with multiple layers today – Road networks, address data, geocoding, points of interest, ADAS etc. The biggest challenge today is to maintain the content that has been captured. TomTom has 3,000 Cartographers all over the world driving the roads every day with mobile mapping vehicles – just to ensure that the datasets are consistent in coverage and quality all across the world.
There were rumours and hushed conversations that TomTom and CARTO were planning to announce something big (read a partnership) during the conference and yes, they did just that. TomTom announced that all this data is available via web services and searchable APIs. And now, TomTom is partnering with CARTO to make all this information available on CARTO Engine, CARTO Builder and CARTO Data Observatory platforms.
Descifra: The Predictive Power of Geospatial for Retailers
Rodrigo Sarmiento, co-founder and data scientist at Descifra shared his perspective on how retailers can bake in complex algorithms to location-based technologies to predict sales performance and future store locations.
When a gym approached the company looking for insights on where it should invest its marketing budgets, they decided to keep it simple and collected GPS data from cars and tracked the gym clientele of their origin-destination. But simply knowing where people lived was not enough; so they added income levels to the data to determine the sweet spots for advertising locations. This is only one of the many examples he gave to demonstrate how a practical data-product thinking approach can go a long way to ensure that companies make products that have real value to the users.
Another interesting thing that Rodrigo mentioned is that a lot of times, just because data has a spatial component does not mean that you can fuse them together in a complex combination or to quote him “What people don’t realize while using location data is that geo is something which can make apples talk with oranges by fusing complex combination together.”. Now, that’s something to think about the next time you work with location data.
Textile: Location in the Era of Privacy
Andrew Hill, co-founder, and CEO of Textile, explored the implications of changing privacy trends on collecting, storing and analyzing location data. Since the geospatial technology was born into an era of centralization, for him it is really cool to see it move into a whole new phase of decentralization.
Today, 80% of websites have trackers, but how many of us are aware of where that data is going? For Andy, the issue that is more interesting is our own control over our data. Did you choose to let your data be a part of the US Elections or be sold to different marketing agencies? He asserted how we don’t control our own geospatial data. Google Maps may remember every place we have ever visited, but most of us wouldn’t even have a copy of that data.
For him, crypto networks are an interesting option to decentralize geospatial data because they are immune from fluctuating business models. That’s why Textile is building a digital wallet for individuals to own and control all their personal data. Now, their app also has a location opt-in setting, but you get to choose whether you want that data to be stored or not.
Geographica: Squaring the circle
Geographica COO Paula Juliá talked about how her organization was solving the four very important problems – real-time data, optimization of daily processes, the location of people and things inside a building, and predictive data analytics. She showcased a few interesting applications (that are actually out there in the world) that are leveraging the powerful Geographica engine, using CARTO technology, to ‘square the circle’ for a wide range of use cases.
For example, their application for Telefónica conveniently collates real-time data gathered from all over the city into one dashboard. But what is really cool is how Geographica is helping organizations save operational cost by leveraging that data. By analyzing the ‘fill level’ of garbage cans at the time of collection, the company was able to optimize garbage collection days for a city. They were also able to provide the best collection route by taking various factors into parameters, including vehicle type, work hours, break time, which side of the road the can would be placed, etc.
And of course what is an event in Madrid that doesn’t mention Real Madrid 😉
— Geoawesomeness (@geoawesomeness) April 19, 2018
I went to Madrid excited to see what CARTO has in store for the future and imagined that the event would mostly be about CARTO and I couldn’t have been more wrong! Yes, CARTO was there but it was amazing to hear about how completely different organizations like MasterCard, GreenPeace, Vodafone, TomTom, Vodafone, and many others think about the future of Location Intelligence.
A long story short – it was 2 full days of geo-awesomeness!