Share The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
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By MapScaping
4.8
107107 ratings
The podcast currently has 238 episodes available.
Tracking elephants in Southern Africa’s Kavango-Zambezi (KAZA) region, the largest transfrontier conservation area in the world.
Lead scientist Robin Naidoo from the World Wildlife Fund-US explains the complex, cross-border collaboration required to understand elephant movements across vast landscapes and the role of GNSS.
Connected with Robin
https://www.worldwildlife.org/experts/robin-naidoo
Read more information about this study here
Today's episode touches on some pretty big topics like Imposter Syndrome, Mentorship, Career Progression, Adaptability and Diversity
Today you are going to hear two stories from two very different voices. Two brilliant people who happen to be women in geospatial.
Ta Taneka
https://www.linkedin.com/in/ta-taneka/
Mary Murphy
https://www.linkedin.com/in/mary-murphy-12319433/
You can check out the GIS Directions Podcast here:
https://esriaustralia.com.au/gis-directions-podcast
or search for GIS Directions where every you listen to podcasts
Recommended Podcast Episodes
Getting where you want to go in your geospatial career
Mentorship leadership and career advice
Mentorship leadership and career advice
In this episode, Marco Bernasconi, co-founder and CEO of OPENGIS.ch, introduces us to QField, an open-source mobile application designed for field data collection in conjunction with QGIS.
Marco shares his journey in developing QField and discusses its seamless integration with QGIS, allowing users to capture, survey, and manage geospatial data on various mobile devices.
We also discuss the technical aspects of QField, including its user-friendly interface, the ability to connect with external sensors, and the recent introduction of QField Cloud for enhanced data synchronization and management.
Marco highlights the application’s diverse use cases, from citizen science initiatives to archaeological documentation and utility inspections, demonstrating its potential to transform data collection processes across various industries.
More information on Qfield:
https://qfield.org/
https://qfield.cloud/
Or https://www.opengis.ch/#contact
On a personal note, I have been working as a freelance Geospatial consultant for some time now and one of my projects is slowly winding down, which is why I am looking for new projects to get involved in!
If you need expertise in Geospatial consultancy, GIS management or the marketing of geospatial products and services Please reach out!
https://www.linkedin.com/in/danielodonohue/
or contact me here [email protected]
This is the story of Priscilla Cole, and what she did when she discovered that her ambitions were bigger than the tools she was using!
Connect with Priscilla here!
https://www.linkedin.com/in/priscilla-cole-5892549/
Recommended Listening
The Way You Talk About Your Skills Is Costing You Money
Geospatial Consulting As A Business And Career
Mid-Life Career Change
Getting Where You Want To Go In Your Career
Applying For A Job, Getting Picked and Negotiating
Mentorship Leadership And Career Advice
In this episode, I'm joined by Konstantine Klemmer, a researcher at Microsoft, to dive deep into the fascinating world of GeoAI. Konstantine introduces us to Satclip, a cutting-edge model that encodes geographic locations based on satellite images.
We discuss how Satclip works, the data it uses, and its potential applications, particularly in low-resource settings and predictive modeling. Whether you're into AI, geography, or just curious about the intersection of these fields, this episode is packed with insights.
Connect with Konstantine https://www.linkedin.com/in/konstantinklemmer/
Try Satclip https://github.com/microsoft/satclip
Recommended Listening
https://mapscaping.com/podcast/computer-vision-and-geoai/
https://mapscaping.com/podcast/planet-imaging-everything-every-day-almost/
In this episode, I welcome Jason Gilman, a Principal Software Engineer at Element 84, to explore the exciting world of natural language geocoding.
Key Topics Discussed:
Introduction to Natural Language Geocoding:
The Evolution of AI and ML in Geospatial Work:
Challenges and Solutions:
Applications and Use Cases:
Future of Geospatial AIML:
Interesting Insights:
Quotes:
Additional Resources:
Connect with Jason:
This podcast episode is all about semantic search and using embeddings to analyse text and social media data.
Dominik Weckmüller, a researcher at the Technical University of Dresden, talks about his PhD research, where he looks at how to analyze text with geographic references.
He explains hyperloglog and embeddings, showing how these methods capture the meaning of text and can be used to search big databases without knowing the topics beforehand.
Here are the main points discussed:
Connect with Dominik Weckmüller here https://geo.rocks/
Stay up to date with AI here
https://huggingface.co/ Try searching for “map” here https://huggingface.co/spaces
Check out this project I am working on
https://quickmaptools.com/
In this episode, we welcome back Lauren Guy, CEO and founder of ASTERRA, a groundbreaking company using L band and synthetic aperture radar (SAR) for commercial purposes. Lauren shares his journey as a geophysicist and discusses the innovative applications of L band in detecting water leakages, soil moisture, and even minerals from space. Dive deep into the technical, commercial, and environmental aspects of SAR technology and learn about the future potential of this exciting field.
**Key Topics Covered:**
- Overview of Asterra's mission and Lauren Guy's background as a geophysicist.
- The unique use of L band and SAR for commercial applications.
- Explanation of the electromagnetic spectrum and how L band fits in.
- Advantages of L band, including its ability to penetrate the ground.
- Detailed discussion on polarizations, signal processing, and the electrical properties of materials detected by SAR.
- Comparison between L band and other bands like X and C band.
- Real-world examples of how Astera uses L band for water leak detection and soil moisture mapping.
- Discussion on the environmental and commercial impact of these applications.
- Addressing issues such as noise interference from cell phones and radars.
- Limitations in resolution and the complexities of SAR technology.
- Success stories including the detection of 118,000 water leakages worldwide and the discovery of significant lithium deposits.
- Insights into ASTERRA's business model, customer education, and market challenges.
- Strategies for overcoming barriers and building trust with clients.
- Plans for launching their own satellites to ensure reliable data sources.
- The role of AI in enhancing SAR capabilities and improving detection accuracy.
- Lauren’s advice for remote sensing scientists and entrepreneurs in the industry.
- The importance of data feedback loops and the journey from a 20% to an 86% success rate in detections.
**Guest Information:**
- **Lauren Guy**: CTO and founder of ASTERRA. Connect with Lauren on https://www.linkedin.com/in/lauren-guy-asterra/
**Company Information:**
- **ASTERRA**: Learn more about ASTERRA’s innovative solutions at https://asterra.io/
**Additional Resources:**
- Check out Lauren’s previous appearance on the podcast for more insights into SAR technology.
- Explore ASTERRA’s groundbreaking work in remote sensing and their various applications across different industries.
**Episode Highlights:**
- "We can find water leakages from space and distinguish treated water from other types of water based on their dielectric properties."
- "ASTERRA has verified, dug, and fixed 118,000 leakages across 65 countries using L band SAR technology."
- "Our success rate has increased from 20% to around 86% thanks to the integration of AI and continuous data feedback."
**Support the Show:**
- If you enjoyed this episode, please leave a review on your favourite podcast platform and share it with your network.
Thank you for tuning in to the MapScaping Podcast!
Recommended Listening
Finding Water Leaks From Space
Introduction To Synthetic Aperture Radar-SAR
Flood Monitoring From Space ( using SAR)
Cloud-native geospatial, range requests, chucks, COGs and COPCs ... [ insert confusing acronym here ]
Sometimes It feels like we need to learn a whole new vocabulary and if you have been doing #geo for a while you might be wondering how much of this is actually going to impact me. What bits of this are the ones that I need to know about?
I don’t think that anyone is going to be talking about cloud native in 10 years, in the same way, no one talks about digital cartography or computer analysis because where else would you do your cartography? And how else would you do your analysis?
Maybe the names won’t be as important but the concepts will and while this episode is focused on Geoparquet it does so within the context of cloud-native geospatial - and this concept is not going away!
You can connect with Kyle Barron here https://x.com/kylebarron2 or here https://kylebarron.dev/
If you want to learn more about cloud-native geospatial I can highly recommend these episodes
https://mapscaping.com/podcast/cloud-optimized-point-clouds/
https://mapscaping.com/podcast/introduction-to-cloud-native-geospatial/
https://mapscaping.com/podcast/planet-scale-tiled-maps-without-a-server/
https://mapscaping.com/podcast/what-is-modern-gis/
https://mapscaping.com/podcast/the-planetary-computer/
I am working on a new project called https://quickmaptools.com/ like the name suggests it is a bunch of browser-based map tools. So far we have created several different conversion tools and will continue to add more to the list. Check it and let me know what you think!
Mappedin started as a school project and evolved into a leading indoor mapping company, working with malls, airports, hospitals, and Fortune 500 companies.
You guessed, today's podcast is all about indoor mapping, why it's hard, what are the use cases driving it, what the state of the art looks like today and what we can expect in the future.
Key points discussed include:
1. **The Challenge of Indoor Mapping**: Unlike outdoor mapping, indoor environments are complex due to the density of objects and frequent changes. Moreover, indoor spaces are mostly private property, making it difficult to collect data comprehensively.
2. **Importance of Indoor Maps**: Despite the challenges, the need for indoor maps is growing. Applications range from wayfinding in malls and airports to optimizing logistics in warehouses and creating better guest experiences in various venues.
3. **Mappedins's Approach**: enabling non-experts to create and maintain indoor maps. Their tools are designed for everyday users, allowing them to update maps as easily as they would a document in Google Docs.
4. **Technological Advances**: While technologies like LiDAR and digital twins offer detailed 3D models, are they really practical? .
5. **Indoor Positioning**: Accurate indoor positioning is crucial for the success of indoor maps, similar to how GPS revolutionized outdoor mapping. However, this remains a challenging area due to signal interference and the complexity of indoor spaces.
6. **Future Outlook**: Digital indoor maps become as ubiquitous as Wi-Fi, providing essential data for various applications and improving overall user experience ... but we are not there yet!
Try Mappedin for yourself https://www.mappedin.com/
or connect with Hongwei here https://www.linkedin.com/in/hongweil/
Recommended Listening
Where does the blue dot come from ( how Google knows your location )
Hyper Accurate Indoor Location
Using the Geomagnetic fields of buildings to navigate indoors
I am working on a new project https://quickmaptools.com/ and would really appreciate some feedback!
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