The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

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 https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2664.14746   https://news.mongabay.com/2024/09/jumbo-collaring-effort-reveals-key-elephant-movement-corridors/   Check out https://www.movebank.org/

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 info@mapscpaing.com

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. Key Takeaways: What is Satclip?: Learn about Satclip's location encoding, a neural network that converts geographic coordinates into numerical representations based on satellite images.Data and Training: Understand how Satclip is trained using Sentinel-2 satellite images and how it captures unique geographic features.Applications: Discover how Satclip can be used in low-resource environments, such as on edge devices, and how it enhances other models by providing geographic context.The Future of GeoAI: Explore the potential future directions for Satclip, including more detailed regional models and the integration of multiple data modalities. 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: Jason explains the concept of natural language geocoding and its significance in converting textual descriptions of locations into precise geographical data. This involves using large language models to interpret a user's natural language input, such as "the coast of Florida south of Miami," and transform it into an accurate polygon that represents that specific area on a map. This process automates and simplifies how users interact with geospatial data, making it more accessible and user-friendly. The Evolution of AI and ML in Geospatial Work: Over the last six months, Jason has shifted focus to AI and machine learning, leveraging large language models to enhance geospatial data processing. Challenges and Solutions: Jason discusses the challenges of interpreting natural language descriptions and the solutions they've implemented, such as using JSON schemas and OpenStreetMap data. Applications and Use Cases: From finding specific datasets to processing geographical queries, the applications of natural language geocoding are vast. Jason shares some real-world examples and potential future uses. Future of Geospatial AIML: Jason touches on the broader implications of geospatial AI and ML, including the potential for natural language geoprocessing and its impact on scientific research and everyday applications. Interesting Insights: The use of large language models can simplify complex geospatial queries, making advanced geospatial analysis accessible to non-experts.Integration of AI and machine learning with traditional geospatial tools opens new avenues for research and application, from environmental monitoring to urban planning. Quotes: "Natural language geocoding is about turning a user's textual description of a place on Earth into a precise polygon.""The combination of vision models and large language models allows us to automate complex tasks that previously required manual effort." Additional Resources: Element 84 WebsiteState of the Map US Conference Talk on YouTubeBlog Posts on Natural Language Geocoding Connect with Jason: Visit Element 84's website for more information and contact details.Google "Element 84 Natural Language Geocoding" for additional resources and talks.

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: Intro to Semantic Search and Hyperloglog: Looking at social media data by counting different users talking about specific topics in parks, while keeping privacy in mind. Embeddings and Deep Learning Models: Turning text into numerical vectors (embeddings) to understand its meaning, allowing for advanced searches. Application Examples: Using embeddings to search for things like emotions or activities in parks without needing predefined keywords. Creating and Using Embeddings: Tools like transformers.js let you make embeddings on your computer, making it easy to analyze text. Challenges and Innovations: Talking about how to explain the models, deal with long texts, and keep data private when using embeddings. Future Directions: The potential for using embeddings with different media (like images and videos) and languages, plus the ongoing research in this fast-moving field.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:** **Introduction to Astera**:   - Overview of Asterra's mission and Lauren Guy's background as a geophysicist.    - The unique use of L band and SAR for commercial applications.   **Understanding L Band and Synthetic Aperture Radar (SAR)**:   - Explanation of the electromagnetic spectrum and how L band fits in.    - Advantages of L band, including its ability to penetrate the ground.   **Technical Insights into SAR**:   - 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.   **Applications and Benefits of L 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.   **Challenges and Limitations**:   - Addressing issues such as noise interference from cell phones and radars.    - Limitations in resolution and the complexities of SAR technology.   **Case Studies and Success Stories**:   - Success stories including the detection of 118,000 water leakages worldwide and the discovery of significant lithium deposits.   **Business Strategies and Market Penetration**:   - Insights into ASTERRA's business model, customer education, and market challenges.    - Strategies for overcoming barriers and building trust with clients.   **Future Aspirations and Technological Developments**:   - Plans for launching their own satellites to ensure reliable data sources.    - The role of AI in enhancing SAR capabilities and improving detection accuracy.   **Entrepreneurial Advice for Remote Sensing Practitioners**:   - 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!

Hugo Powell, from immap.org shares his expert insights on how GIS technologies are leveraged to analyze data, visualize scenarios, and facilitate rapid decision-making during emergencies. Here are the key tools mentioned: 1. **Kobo Toolbox**: An open-source tool used for data collection in humanitarian contexts. Kobo Toolbox allows for both quantitative and qualitative data collection and is operational offline, which is crucial in areas with limited internet connectivity. It supports geospatial data collection and can be used for needs assessments in settings like refugee camps. 2. **ODK Collect**: Similar to Kobo Toolbox, ODK Collect is an open-source mobile application used for field data collection. It is widely used in humanitarian efforts for its ease of use and the capability to work offline. 3. **QGIS**: A free and open-source geographic information system used for viewing, editing, and analyzing geospatial data. Hugo notes that QGIS is core for mapping and data analysis in humanitarian operations. 4. **Tableau and Power BI**: Business intelligence tools mentioned for their use in analyzing and visualizing data. These tools help in making data-driven decisions during humanitarian operations. 5. **Humanitarian Data Exchange (HDX)**: An open platform for sharing data across crises and organizations, which helps in avoiding duplication of efforts and enhances coordination among humanitarian actors. 6. **Humanitarian OpenStreetMap Team (HOT)**: Provides crowdsourced geospatial data which is extremely valuable in humanitarian settings for its accuracy and timeliness. 7. **Esri’s Living Atlas and other Esri tools**: While not open-source, Esri’s tools are sometimes used for their comprehensive geospatial data, particularly in natural disaster contexts like earthquakes. 8. **Humanitarian Spatial Data Center**: Managed by IMAP, this tool aggregates and processes data, providing access to data, analytics, and visualization tools all in one place. It has been particularly successful in deployments like Afghanistan.   This episode was sponsored by scribblemaps.com https://youtu.be/CDkG9eS6H2M   Recommended Listening  Geospatial Support For Humanitarian Emergencies A Self-Contained Environment For Open-Source Geospatial Tools GGIS Offline And In The Field The Business Of Web Maps Peer to Peer Mapping And Digital Democracy   I am working on a new project over at QuickMapTools.com and any feedback is really appreciated!

AI Autocomplete for QGIS Brendan Ashworth the CTO and co-founder of https://buntinglabs.com/ focuses on integrating AI with QGIS, and today on the podcast we are talking about Autocomplete for vectorization. Along the way Brendan will share with us why Bunting Labs chose to build this on top of QGIS, the Challenges in Map Digitization, what the development process was like and how this is different from tools like Segment Anything ( from meta )  Here's what we discussed: Introduction to Bunting Labs: Get to know more about Brendan and Bunting Labs, whose mission revolves around enhancing QGIS with AI, especially focusing on automating vectorization processes. AI Autocomplete for Vectorization: We explored the AI autocomplete feature developed by Bunting Labs that simplifies the vectorization of maps in QGIS, streamlining the digitization process for better efficiency. Brendan’s Background and Motivation: Brendan shared his journey from a software engineer to a pivotal player in the geospatial sector, spurred by a project that showcased the potential of merging geospatial data with machine learning. Why Choose QGIS?: Discover why Bunting Labs opted for QGIS over other GIS platforms, with an emphasis on its open-source nature and vibrant community ecosystem. Challenges in Map Digitization: Our conversation covered the technical challenges involved in developing AI capable of accurately understanding and digitizing maps. Iterative Development and Learning: Brendan highlighted the evolutionary process of their AI model, which has significantly improved from its early versions. AI vs. Segment Anything: Brendan explained how their AI autocomplete tool differs from existing solutions like Segment Anything, particularly in handling specific digitizing challenges. The Future of AI in Geospatial Data Analysis: We discussed potential future applications of AI in geospatial data, including automatic georeferencing and metadata extraction. Privacy Considerations: We also touched on the importance of privacy in the development and deployment of AI technologies in geospatial data analysis. Changing the Geospatial Landscape: Brendan shared his vision for using geospatial data not just to map the current world but to plan and improve future landscapes. Sponsored by https://www.scribblemaps.com/ Recommended Listening https://mapscaping.com/podcast/the-business-of-web-maps/ https://mapscaping.com/podcast/the-business-of-qgis-development/ https://mapscaping.com/podcast/qgis-offline-and-in-the-field/ https://mapscaping.com/podcast/computer-vision-and-geoai/   https://quickmaptools.com/ - MapTools to save your time processing GIS data

GNSS receivers - why precise positioning will not be coming to your phone any time soon   Igor is the CEO and cofounder of Emlid.com a company that started out making high-precision GNSS receivers in his kitchen and crowd-funded the first batch on Kickstarter.    But that was over ten years ago so today on the podcast Igor is going to tell us about the innovations that made this possible, give a great explanation of RTK and PPP and explain why we should expect to see high precision positioning on your phone any time soon. Connect with Igor here: https://www.linkedin.com/in/igor-vereninov-52a73ab0/ Or visit https://emlid.com/   In this episode, we cover:  **Introduction to Emlid and its Focus**: Introduction to the company Emlid, its CEO and co-founder Igor, and their focus on high precision GNSS receivers and software designed for centimeter accuracy positioning.  **Startup Story and Crowdfunding**: The origin story of Emlid, starting from working with drones in university, the need for accurate maps, the initial challenges with high precision GPS technology, the development of their own GNSS receiver, and their successful crowdfunding campaign on Kickstarter.  **Innovations in GNSS Technology**: How Emlid managed to make high precision GNSS technology more affordable and accessible, the role of open-source software, and the technical innovations that allowed them to reduce the cost and size of GNSS receivers.  **Market and Technology Evolution**: The discussion on how the market for GNSS technology has evolved, including the impact of autonomous cars on the development and availability of multi-frequency GNSS chips, and how these advancements benefited broader applications beyond surveying and construction.  **Precision vs. Accuracy in GNSS**: An explanation of the difference between precision and accuracy in the context of GNSS technology, and the significance of each in various applications like drone mapping and volume measurements.  **RTK and PPP Explained**: A detailed explanation of Real-Time Kinematic (RTK) and Precise Point Positioning (PPP), including how they work, their applications, and their advantages and limitations.  **The Future of GNSS Technology**: Insights into the future directions of GNSS technology, including the challenges and potentials for achieving sub-centimeter accuracy with smartphones, the complementarity of GNSS and visual positioning systems, and the potential for GNSS technology to replace traditional surveying methods.  **Global Utility of GNSS**: A discussion on the importance of GNSS as a global utility, its indispensable role in modern technology and everyday life, and the potential consequences of GNSS failures.More GNSS-related podcast episodes! From GNSS to VPS Reimaging GPS How Google Knows Your Location Past, Present and Future of GNSS SBAS - A base station in the sky

Refactoring the Way you Talk About your geospatial skills: It is Costing you Money Some of the key topics in this episode  1.Our Geospatial Skills and Marketability: There's a realization that while our traditional geospatial skills are valuable, they might not always be marketed effectively to match the broader IT and data analysis job markets. We discuss the benefit of framing our skills in terms that are more widely recognized outside the niche of geospatial technology, such as data science or IT. 2.The Spatial Discount: We explore the concept of the spatial discount, which refers to the observation that geospatial professionals might face a disparity in compensation compared to their counterparts in more generalized IT roles, despite having highly transferable and valuable data manipulation skills. 3. Skill Development and Adaptation: The importance of continually developing skills that are not only advanced within the geospatial domain but also marketable across various sectors is emphasized. Learning and mastering technologies that have broad applications, such as SQL for spatial data manipulation, can enhance our versatility and marketability. 4. Communication and Marketing Skills: Our ability to effectively communicate and market our skills is highlighted as crucial for career advancement. We are encouraged to adopt the language and terminology that resonate with broader industries and potential employers, moving beyond the jargon of the geospatial field. 5. Finding Value in Our Geospatial Work: The discussion also touches on the importance of identifying and articulating the real-world value of our geospatial work. We should focus on how our skills can solve practical problems and address the needs of businesses and organizations, rather than solely on the technical complexity of our tasks. 6. Professional Development: Lastly, the conversation advocates for a proactive approach to our professional development, suggesting that we should seek out opportunities to learn new skills and technologies that align with market demands and personal interests. These points collectively suggest a strategy for us, as geospatial professionals, to enhance our career prospects: by broadening our skill sets, effectively marketing our capabilities, and aligning our work with the needs and language of the wider IT and data analysis fields.   Connect with Brain Timoney on LinkedIn  Thank you to our sponsors  https://www.scribblemaps.com/  https://merginmaps.com/   Recommended Listening   Modern Geospatial Rebranding Gis and Geospatial Getting Where You Want To Go In Your Geospatial Career Mid-Career Change

Modern geospatial - not the bleeding edge of geospatial but modern geospatial - what is it? Well my guest Will Cadell, the CEO of SparkGeo describes modern geospatial as the intersection of the cloud, smart space, open source data/standards, AI and smart devices - that's modern geospatial  And as you will hear during the discussion it's important to understand the difference between modernisation and innovation when we think about moving people from where they are now to where they want to be with regards to their geospatial capabilities.  You might be wondering - what does any of this have to do with me? I just want to make better things, I just want to help people use all this awesome geospatial stuff … but you don’t get to do that without first understanding what “better” looks like for them - what is their version of awesome geo stuff … and that is why you should listen to this episode!    Connect with Will Cadell Twitter https://twitter.com/geo_will LinkedIn https://www.linkedin.com/in/willcadell/ SparkGeo  https://sparkgeo.com/ https://www.strategicgeospatial.com/   This episode is sponsored by https://www.scribblemaps.com/   Recommended Listening   The Business of Web Maps https://mapscaping.com/podcast/the-business-of-web-maps/   Modern GIS https://mapscaping.com/podcast/what-is-modern-gis/

The main topics discussed during this episode include: Basics of LIDAR data and its applications.Differences between LIDAR and photogrammetry.Processing chain of LIDAR data.Challenges in classifying point clouds.Applications of LIDAR technology in vegetation mapping, terrain modelling, and infrastructure inspection.The future of LIDAR technology includes the potential for more affordable and widespread use.Importance of automated processing tools for handling large volumes of data.Connect with Nejc Dougan here: https://www.linkedin.com/in/nejcdougan/ or at https://www.flai.ai/    Recommended listening    Cloud Optimized Point Clouds https://mapscaping.com/podcast/cloud-optimized-point-clouds/   PDAL - the point data abstraction library https://mapscaping.com/podcast/pdal-point-data-abstraction-library/   Lidar from drones https://mapscaping.com/podcast/lidar-from-drones/   Bathymetric Lidar https://mapscaping.com/podcast/bathymetric-lidar-and-blue-carbon/

Alex Leith is a Digital Earth Architect and in this episode, you will learn what Infrastructure as code is  - hint it is the opposite of the "clicky-clicky" and so much more! Connect with Alex here https://auspatious.com/   Recommended Listening  Cloud-Optimized Point CLounds https://mapscaping.com/podcast/cloud-optimized-point-clouds/   Cloud Native Geospatial  https://mapscaping.com/podcast/cloud-native-geospatial/   Planet Scale Tiled Maps without a Server https://mapscaping.com/podcast/planet-scale-tiled-maps-without-a-server/   What is Modern GIS https://mapscaping.com/podcast/what-is-modern-gis/

GeeMap is an open-source Python library that provides tools for interactive mapping with Google Earth Engine (GEE), which is a platform for earth science data and analysis ... and today you are going to hear from the creator of GeeMap!   Connect with Qiusheng Wu here: https://wetlands.io/   This episode is sponsored by Planet learn more at https://www.planet.com/gis/   Recommended Listening Introduction to Google Earth Engine https://mapscaping.com/podcast/introducing-google-earth-engine/   Introduction to Sentinel Hub https://mapscaping.com/podcast/sentinel-hub/   Planet - Imaging everything every day ( almost )  https://mapscaping.com/podcast/planet-imaging-everything-every-day-almost/   Introduction to Microsoft's Planetary Computer https://mapscaping.com/podcast/the-planetary-computer/

GPS reimagined? Why do we need to reimagine GPS? ... Is it broken?   Recommended Podcast Episodes   How Google Calculates Your Location https://mapscaping.com/podcast/how-google-calculates-your-location/   From GNSS To VPS https://mapscaping.com/podcast/from-gnss-to-vps/   Navigating The Past Present and Future of GNSS https://mapscaping.com/podcast/navigating-the-past-present-and-future-of-gnss/   SatelliteBased Augmentation System - A Base Station In The Sky https://mapscaping.com/podcast/satellite-based-augmentation-system-a-base-station-in-the-sky/

Nyall Dawson is a QGIS developer, cartographer, and owner and founder of North Road, a company specializing in open-source geospatial software. His journey into geospatial began with personal interests in mapping and cartography, which later evolved into a business called North Road. But that's not why I wanted to make this episode for you, I wanted to share this story with you because it could be your story too.  You could decide to have a story that starts with contributing to something you care about, which leads to you becoming a known expert within a community that cares about the same thing and evolves into paid opportunities. That could be your story too!   You can connect with Nyall here: https://twitter.com/nyalldawson https://www.linkedin.com/in/nyall-dawson-18b6016a/   Sponsored by Planet  Learn more at www.planet.com/gis           Recommended Podcast Episodes   Planet https://mapscaping.com/podcast/planet-imaging-everything-every-day-almost/   Monetizing an open-source geospatial project https://mapscaping.com/podcast/monetizing-an-open-source-geospatial-project/   Being self-employed in Earth Observation https://mapscaping.com/podcast/being-self-employed-in-the-earth-observation-sector/   Geospatial Side Hustles https://mapscaping.com/podcast/geospatial-side-hustles/   Self Employment in the GIS Industry https://mapscaping.com/podcast/self-employment-in-the-gis-geospatial-industry/   A Business built on Open Source GIS https://mapscaping.com/podcast/a-business-built-on-open-source-gis/