A podcast for geospatial people. Weekly episodes that focus on the tech, trends, tools, and stories from the geospatial world. Interviews with the people that are shaping the future of GIS, geospatial as well as practitioners working in the geo industry. This is a podcast for the GIS and geospatial community subscribe or visit https://mapscaping.com to learn more
Episodes
Thursday Dec 07, 2023
Planet - Imaging Everything, Every Day ... Almost
Thursday Dec 07, 2023
Thursday Dec 07, 2023
Planet manufactures and manages the world’s largest constellation of earth observation satellites!
Imaging “Just about everywhere on earth just about every day – Making change visible, accessible, and actionable”
… and the hope of this episode is to help you understand how they do that – along the way
- you will hear about their two constellations and how they work together
- Learn the difference between ghost ships and dark ships and find out that there are very few ground control points in the ocean and why that matters
- Find out what this means for GIS and permit enforcement.
For more information go to https://www.planet.com/gis/
Recommended Podcast Episodes
Hyperspectral vs. Multispectral
https://mapscaping.com/podcast/hyperspectral-vs-multispectral/
NICFI Program
https://mapscaping.com/podcast/reduce-and-reverse-tropical-forest-loss-with-nicfi/
Synthetic Data
https://mapscaping.com/podcast/synthetic-data-for-real-problems/
Labels Matter
https://mapscaping.com/podcast/labels-matter/
Thursday Nov 30, 2023
Fire Mapping, Maritime Search And Wide Angle Imaging
Thursday Nov 30, 2023
Thursday Nov 30, 2023
This episode is a story about wide-angle imaging for fire mapping and maritime search but it's also a story about changing the culture and getting people to trust a new way of doing things.
My guest today is Alison Harrod - mission success manager at a start-up called Overwatch imaging
Whenever I work with a company like Overwatch Imaging it is hard to know which story to tell, we could just as easily have made an episode about AI and object detection or about smart sensors because they do those things too.
The decision depends on the guest and their background so after meeting Alison we decided to make this episode for you and try to give you a broad overview of what wide-angle imaging is and how it's used in the context of fire mapping and maritime search.
...but It's one thing to have a technology and it is another thing entirely to get people to use it … as you will hear fire mapping is not “a move fast and break things kind of situation”
Connect with Alison here!
https://www.linkedin.com/in/alisonharrod/
https://www.overwatchimaging.com/
Other relevant podcast episodes that you might enjoy
Thermal Imagery From Space
https://mapscaping.com/podcast/thermal-imagery-from-space/
Finding Water Leaks From Space
https://mapscaping.com/podcast/finding-water-leaks-from-space/
Cube Satellites Of The Stratosphere
https://mapscaping.com/podcast/cube-satellites-of-the-stratosphere/
Wednesday Nov 22, 2023
Personal Branding in Geospatial
Wednesday Nov 22, 2023
Wednesday Nov 22, 2023
It's not about becoming an influencer it's about creating opportunities for yourself
In this episode, we tackle the common misconception that personal branding is solely for influencers, revealing how it's actually about creating the right visibility and opportunities in your professional sphere.
Helena Merschdorf shares her unique insights, drawing from her rich background in GIS and marketing, and discusses:
- Solving the Obscurity Problem: Discover how personal branding can help you get noticed by the right people, not just everyone.
- Effective Communication in Technical Fields: Learn the art of conveying complex GIS concepts to non-experts.
- Defining and Building Your Personal Brand: Uncover the essence of personal branding and how to strategically develop it.
- Overcoming Challenges: Helena offers guidance on tackling imposter syndrome and finding your niche in the vast world of GIS.
- Choosing the Right Platforms: Get tips on selecting the best channels for your personal branding efforts based on your target audience.
- Success Stories and Strategies: While specific examples aren't named, learn about the different levels of personal branding success and what might work for you.
This episode is not just about building a personal brand; it's about leveraging that brand to carve a unique path in the geospatial industry.
Connect with Helena here
https://www.linkedin.com/in/helenamerschdorf/
Other relevant podcast episodes
Rebranding GIS and Geospatial
https://mapscaping.com/podcast/rebranding-gis-geospatial/
Python Maps
https://mapscaping.com/podcast/python-maps/
Getting Your Dream Job In Earth Observation
https://mapscaping.com/podcast/getting-your-dream-job-in-earth-observation/
Wednesday Nov 15, 2023
Entity Resolution with Placekey
Wednesday Nov 15, 2023
Wednesday Nov 15, 2023
Entity resolution is the process of matching and merging records from different sources that refer to the same entity.
today's episode is about entity resolution for place data, why you might want to do that, and what any of this has to do with the dollar, Unix time and the idea that If data is really driving innovation, join keys are going to become more valuable.
Today's guest is Auren Hoffman
https://www.linkedin.com/in/auren/
https://www.youtube.com/@worldofdaas
If you want to try Placekey for yourself go to https://www.placekey.io/
If you want to learn more about SafeGraph listen to this podcast episode
https://mapscaping.com/podcast/building-geospatial-truth-sets/
Wednesday Oct 04, 2023
Strategic Buy-In For FOSS4G
Wednesday Oct 04, 2023
Wednesday Oct 04, 2023
Embracing Open-Source Geospatial Technology is easy as an individual but what if you want your organization to use FOSS4G
How do you get strategic buy-in?
It turns out that the software does not sell itself and that even in the age of AI we still have to convince a human if we want organizational change to to happen.
I think the temptation is to say hey look at this long list of specifications and notice how FOSS4G is often better or equal to the close source equivalent.
Or hey look at the price tag … it costs nothing which is way cheaper than this other thing which costs more than nothing.
While this might be all the argumentation you need in some cases … in general, making change happen is hard, and it's going to require more than that.
That's why I have invited Todd Barr back on the podcast to walk us through what it takes to get an organization to Embrace Open-Source Geospatial Technology.
Here are a few of the key points
- Getting buy-in for open-source software and addressing concerns about security and IP protection
- Perspectives of External and internal stakeholders on open-source Software
- Importance of collaboration, empathy, and understanding in decision-making and stakeholder management
- Challenges of implementing open source technology in a corporate environment
- Benefits of using open source solutions, such as faster analysis, increased stability, and flexibility for innovation
- Accessibility and support in open source communities, including direct interaction with developers and availability of external consultants
- Customization and development work required for creating vertical solutions with open-source components
- Finding skilled developers and training them in geospatial technology
- Cost-saving advantages of open source technology in cloud computing
- Leading arguments for implementing open source software: cost savings and freedom to modify and customize
- Advocacy for supporting and integrating with the open source community.
The last time Todd was on the podcast we talked about Leadership and Mentorship in the Geospatial community
https://mapscaping.com/podcast/skills-leadership-mentorship-and-the-geospatial-community/
If you are interested in FOSS4G you might enjoy these previous episodes
A Business built on Open Source GIS
https://mapscaping.com/podcast/a-business-built-on-open-source-gis/
Monetizing an open-source geospatial project
https://mapscaping.com/podcast/monetizing-an-open-source-geospatial-project/
Or just scroll through the archive to find episodes about QGIS, PostGIS, Geoserver, Geonode, Python, and a bunch of other open-source projects
I could use some support! please consider supporting this podcast on Patreon
https://www.patreon.com/MapScaping
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Google Maps, Geomatics, Cartography
Location Intelligence, Mapping
Wednesday Sep 20, 2023
From GNSS to VPS
Wednesday Sep 20, 2023
Wednesday Sep 20, 2023
** Warning** Consuming this content may lead to educated opinions and or a better understanding of the future of location technology!
** Proceed with caution!! **
If are curious about any of the following topics this episode is for you!
Evolution of Positioning Systems
Terrestrial-based Positioning: The role of Wi-Fi positioning and the potential of 5G in positioning.
Visual Positioning Systems (VPS)
GNSS Low Earth Orbit (LEO) Satellites: The potential of LEO satellites in enhancing positioning and navigation.
Future of Positioning: Predictions and expectations for the future of navigation and positioning technologies.
Connect with Sandy on LinkedIn
https://www.linkedin.com/in/sandy-kennedy-569a6a4/
Recommended listening
SBAS - Satellite-based augmentation system
https://mapscaping.com/podcast/satellite-based-augmentation-system-a-base-station-in-the-sky/
GNSS - past present and future
https://mapscaping.com/podcast/navigating-the-past-present-and-future-of-gnss/
Where does Goolge's blue dot come from
https://mapscaping.com/podcast/how-google-calculates-your-location/
On the personal front, I have just moved back to New Zealand after 13 years in Denmark. It has been pretty busy the last couple of weeks, hence the lack of published podcast episodes.
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Google Maps, Geomatics, Cartography
Location Intelligence, Mapping
Wednesday Aug 30, 2023
Overture Maps And The Daylight Distribution
Wednesday Aug 30, 2023
Wednesday Aug 30, 2023
In this podcast episode, Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation, a downstream product of OpenStreetMap.
He explains his background in open map data and his interest in studying collaboration within the OpenStreetMap community.
Jennings then dives into the Daylight Distribution, an open data product produced by Meta, and how it combines building data sets from various sources into one unified theme.
Jennings emphasizes the importance of a stable ID system within the Overture Maps Foundation and the potential for easy conflation and integration of third-party data.
Jennings also explains the relationship between OpenStreetMap and Overture Maps, highlighting how they complement each other.
Relevant podcast episodes
OpenStreetMap Is A Community Of Communities
Cloud Native Geospatial
Cloud Optimized Point Clouds
The Rapid Editor
With regards to accessing Overture Map data, you might find this YouTube video helpful
https://youtu.be/fZj6kTwXN1U?feature=shared
Just in case you are interested in the Google building footprints here is a link to that :)
https://sites.research.google/open-buildings/
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Wednesday Aug 16, 2023
100 billion Points Every Day
Wednesday Aug 16, 2023
Wednesday Aug 16, 2023
100 billion Points Every Day
100 billion is a very large number, let's say that I gave you a spreadsheet with 100 billion rows in it, each row consisted of five columns Latitude, Longitude, Device ID, A Timestamp, and a column telling the name of the data provider
What would you do with that?
How would you clean it? Make sense of it? Extract value from it? What would people use it for? And how would you do this in a way that could be systematized?
FourSquare does this every day with the help of something they call a movement engine.
To help understand more about how they do this I have invited Gabriel Durkin the director of data science on the podcast. This is the last in a series of episodes I have worked on together with FourSquare and I have to say it's been really enjoyable working with them.
If you are interested in hearing some of the previous episodes just check out the links below!
From Pixels To Patterns AI In Spatial Analysis
https://mapscaping.com/podcast/from-pixels-to-patterns-ai-in-spatial-analysis/
Big Data In The Browser
https://mapscaping.com/podcast/big-data-in-the-browser/
Spatial Knowledge Graphs
https://mapscaping.com/podcast/spatial-knowledge-graphs/
Designing For Location Privacy
https://mapscaping.com/podcast/designing-for-location-privacy/
All Of The Places In The World
https://mapscaping.com/podcast/all-of-the-places-in-the-world/
Geospatial Jobs
There are a few new jobs on our Job Board! The most interesting one is the role of Social Media Manager at Felt - United States (Remote)
( If you want to apply for this one, it might be a good idea to listen to this episode first ;)
https://mapscaping.com/podcast/felt-upload-anything/ )
See more at https://mapscaping.com/jobs/
As a bonus for reading all the way to the end :)
If you are looking for free terrain data for anywhere in the world you might find this useful
https://github.com/openterrain/openterrain/wiki/Terrain-Data
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Wednesday Aug 09, 2023
Synthetic Data For Real Problems
Wednesday Aug 09, 2023
Wednesday Aug 09, 2023
Computer vision is everywhere! But teaching an algorithm to identify objects requires a lot of data and this is definitely the case when we think about GeoAI
But it is not enough to have a lot of data we also need data that is labeled
If we are looking for cars in images we need a lot of images of cars and we need to know which pixels are the car!
Of course, I am oversimplifying but I hope you get the idea,
Now imagine that you can automatically generate a large labeled data set of realistic images of cars based on the specifications of a specific sensor.
These data sets are often referred to as synthetic data or fake data and to help us understand more about this I have invited Chris Andrews from Rendered AI on the podcast.
Here are a few previous episodes you might find interesting
Computer Vision And GeoAI
https://mapscaping.com/podcast/computer-vision-and-geoai/
In this episode, the discussion is aimed at an increased understanding of the differences between computer vision and the AI that is used in the Earth Observation world.
Labels Matter
https://mapscaping.com/podcast/labels-matter/
What it takes to create labeled training data manually. If you are new to the idea of labeled data sets this is a good place to start.
Fake Satellite Imagery
https://mapscaping.com/podcast/fake-satellite-imagery/
This is a good episode if you want to know more about Generative AI and Generative Adversarial Networks.
Also, check out this website https://thisxdoesnotexist.com/ to get an idea of where and how these Generative Adversarial Networks can be used. Look for a website called This City Does Not Exist http://thiscitydoesnotexist.com/
On a silently similar note try uploading an image to https://bard.google.com/ … it's pretty interesting!
Thursday Aug 03, 2023
Hub Ocean
Thursday Aug 03, 2023
Thursday Aug 03, 2023
This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data.
Hub Ocean - as the name suggests is a hub for ocean data
Now we have talked about these kinds of data hubs before on the podcast - Sentinal Hub - a data hub for earth observation data, Microsoft Planetary Computer, Google Earth Engine, Open Topography is data but for topography data …. The concept is not new but also not easy to implement and if they work, these types of data hubs have a gravity to them that becomes more powerful over time.
One of the guiding concepts behind these data hubs seems to be the idea of FAIR data - Findable, Accessible, Interoperable, and Reuseable data
…. But its not enough to ensure that the data is fair I think we should also consider how we can make the results of our research Findable, Accessible, Interoperable, and Reuseable data
If you are not already familiar with Cloud Optimised Geospatial formats it is worth checking out these two episodes.
https://mapscaping.com/podcast/cloud-optimized-point-clouds/
https://mapscaping.com/podcast/cloud-native-geospatial/
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Google Maps, Geomatics, Cartography
Location Intelligence, Mapping