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

Rapid is a free open-source web-based editor for an OpenStreetMap. In the past the focus was on conflating AI-generated datasets with OpenStreetMap data but the future for this editor is conflating authoritative datasets with OpenStreetMap. Humans are in the loop, people reviewing data authoritative datasets and adding them to OpenStreetMap with a few clicks! So you might be wondering, what is Authoritative data? And perhaps it doesn’t even matter what authoritative means maybe the most important thing is it correct. If you are interested in OpenStreetMap you might enjoy this episode https://mapscaping.com/podcast/openstreetmap-is-a-community-of-communities/ which is a great introduction to OpenStreetMap as a project but also explains some of the commercial interest in updating the map which adds a lot of context to Rapid and its development and future. Humanitarian OpenStreetMap Team If you have not heard of Humanitarian OpenStreetMap Team this is well worth checking out! https://www.hotosm.org/ Segment Anything (SAM) can segment objects by simply clicking or interactively selecting points to include or exclude from the object. This makes it a user-friendly tool for image segmentation. https://segment-anything.com/ Mapillary Mapillary is a platform that provides street-level imagery and map data from all over the world. The platform is powered by collaboration and computer vision, which helps in generating and maintaining up-to-date, detailed maps. https://mapscaping.com/podcast/scaling-map-data-generation-using-computer-vision/ GeoSpatial Jobs! Drone Deploy’s Earthworks team is looking for an experienced Back End Engineer Full time / Remote NV5 is looking for a Senior GIS Analyst https://mapscaping.com/jobs/ Want to help? I could really use some support! Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

The promise of digital mapping is to provide a shared and real-time view of the state of the underlying system. pg_eventserv is a free and open-source component that helps fulfill the promise of real-time event modeling and shared views in PostgreSQL. By connecting to PostgreSQL and listening on specified channels, pg_eventserv captures database notifications and forwards them to web clients, enabling real-time updates and synchronization of data displayed on maps or other web interfaces. pg_eventserv does one thing and one thing only: take events generated by the PostgreSQL NOTIFY command and passes the payload along to waiting WebSockets clients. pg_eventserv is free and easy to install and you can find it here: https://github.com/CrunchyData/pg_eventserv What this means is that any client can watch for notifications and update as changes in the database happen. Real-time data! Here is a link to a Youtube video demonstration of pg_eventserv in action! https://youtu.be/UakRtYmoWow I will let Paul Ramsey the creator of pg_eventserv explain all this in more detail in this episode. If you want to reach out to Paul the best place to do that is http://blog.cleverelephant.ca/ Or if you want to listen to previous episodes with Paul you might find these interesting Raster in the database? https://mapscaping.com/podcast/rasters-in-a-database/ Dynamic Vector Tiles Straight From The Database https://mapscaping.com/podcast/dynamic-vector-tiles-straight-from-the-database/ Spatial SQL- GIS Without The GIS https://mapscaping.com/podcast/spatial-sql-gis-without-the-gis/ also ... If you are interested in spatial databases at scale ... you might find this episode interesting https://mapscaping.com/podcast/distributing-geospatial-data/ Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

You guessed it this episode is all about recruitment! Who is this episode for? Well if you have a career in geospatial … it's for you! Getting the job you want, changing your career path, or deciding whether to work at a start-up or a more established company. Once you have made these decisions, how do you stand out from the crowd? What is it the recruiters are looking for? And if you do get offered a contract should you negotiate and what is negotiable? Jett Metcalf has worked as a geospatial recruitment specialist for a few well-known companies like Google, Descartes Labs and is currently the Head of Talent at Regrow Ag. In this episode, he is going to help us understand some of the answers to these questions. Reach out to Jett on LinkedIn or Twitter If you enjoy this episode and are interested in more career-focused episodes go to https://mapscaping.com/podcasts/ and filter by “Geospatial Career" See you next week! Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

How do we get data from a satellite down to Earth? How do we task a satellite? Today the answer is likely to be via radios and a system of downlink sites or ground stations. As the satellites pass overhead or within “line of sight” data can be sent via radio from the satellite to the receiver on the ground. If you don’t want to wait until the satellite can see the ground station, you can send your data to a geostationary satellite that can always see a ground station and let it send the data back to Earth. Radios are tried and tested, they have been used for this purpose since the inception of satellite communication and radio waves can pass through Earth's atmosphere without significant loss! But … the frequency spectrum for radio waves is strictly regulated, which can limit available channels for communication, and the bandwidth of radio frequencies is limited, which can reduce the volume of data transmission. What about lasers? You can send more data faster with a laser, you don’t need to worry about interfering with someone else part of the radio spectrum, and ground stations can be much smaller even human-portable! But … lasers struggle with clouds and the technology is still relatively new So what is the best way to communicate with satellites? Radio or Laser? The answer is … it depends ;) Jordan Wachs, Director of Business Development for SpaceRake.net does a great job adding context to this discussion but perhaps the bigger question here is what will we do when satellites become internet devices, part of the Internet of Things? What if they were always on always connected in the same way your phone is always on, always connected? What will this enable? This episode was sponsored by Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing People who liked this episode also liked … How to keep your satellite pointing at earth https://mapscaping.com/podcast/how-to-keep-your-satellite-pointing-at-earth/ Hyperspectral v’s Multispectral https://mapscaping.com/podcast/hyperspectral-vs-multispectral/ Sentinel Hub https://mapscaping.com/podcast/sentinel-hub/ Swing by our website sometime https://mapscaping.com/ Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

There is a general understanding that it is becoming increasingly difficult to extract meaning from all the data we are collecting without using AI. But what is AI, and how did we end up in a situation where it is identifying wolves from dogs based on the presence of snow in the background of images? What does this mean for spatial analysis using tabular data? What is explainability? This is not a "how-to" do spatial analysis using an AI episode, it is an overview of AI in spatial analysis episode with Vin Sharma, VP of Engineering at FourSquare https://www.linkedin.com/in/ciphr/ https://foursquare.com/

PYGEOAPI is a Python server implementation of the OGC API suite of standards ... which might be really useful if you are thinking about upgrading from the first-generation OGC standards to the second-generation OGC standards ... or if need to implement a custom data source or custom functionality to your web services. https://pygeoapi.io If you are using MapServer, Geoserver, Mapproxy, QGIS server, or Deegree you might find this episode interesting! Relevant previous episodes Cloud-native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ Geoserver https://mapscaping.com/podcast/geoserver/ Geonode https://mapscaping.com/podcast/geonode-open-source-geospatial-content-management-system/ Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

So why would anyone want to put alot of data into a browser? Well, for a lot of the same reasons that edge computing and distributed computing have become so popular. You get the data a lot closer to the user and you don’t have to pay for the compute ;) … this sounds great but as I found out during this conversation it's not as easy as it might seem! There are a lot of trade-offs that need to be evaluated when moving data and analytics to the client. Nick Rabinowitz Senior Staff Software Engineer at Foursquare has a ton of experience with this so he volunteered his time to help us understand more about it. https://location.foursquare.com/ https://studio.foursquare.com/home If you are not familiar with the Arrow data format it might be worth checking out Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead Related podcast episodes that you might find interesting include H3 grid system https://mapscaping.com/podcast/h3-geospatial-indexing-system/ The H3 geospatial indexing system is a discrete global grid system consisting of a multi-precision hexagonal tiling of the sphere with hierarchical indexes. H3 is a really interesting approach to tiling data that was developed by UBER and has been open-sourced. Hex Tiles https://mapscaping.com/podcast/hex-tiles/ If you have not heard of the H3 grid system before listen to that episode first before listening to this one it will add a lot of useful context! Spatial Knowledge Graphs https://mapscaping.com/podcast/spatial-knowledge-graphs/ Foursquare is moving away from spatial joins and focusing on building a knowledge graph. If you are not familiar with graphs this might be a good place to start, also its interesting to hear the reasons for the move from spatial joins to another data structure. Distribution Geospatial Data https://mapscaping.com/podcast/distributing-geospatial-data/ This is interesting if you want to understand more about distributed databases and some of the strategies for doing this. It sounds complicated but this episode is a really good introduction! Cloud Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ This episode give a solid overview of what cloud-native means and some of the current geospatial cloud native formats out there today I am constantly thinking about how I can make this podcast better for you so if you have any ideas or suggestions please let me know! Also, I am thinking of recording a behind-the-scenes episode, is that something you might be interested in? if so what questions do you have? Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

Sounds like a great idea right? In this episode, Paul Ramsey explains why you shouldn't ... unless you want to ... and how you can ... if you have to. You can find Paul's blog here: http://blog.cleverelephant.ca/about Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping Previous episodes with Paul Spatial SQL https://mapscaping.com/podcast/spatial-sql-gis-without-the-gis/ GDAL https://mapscaping.com/podcast/gdal-geospatial-data-abstraction-library/ Dynamic Vector Tiles https://mapscaping.com/podcast/dynamic-vector-tiles-straight-from-the-database/ Blog posts by Paul about Rasters in the Database https://www.crunchydata.com/blog/postgres-raster-query-basics https://www.crunchydata.com/blog/waiting-for-postgis-3.2-secure-cloud-raster-access Check Out Our Geospatial Job Board! https://mapscaping.com/jobs/

A knowledge graph is a network of relationships between real work entities and in this episode, you will learn how and why knowledge graphs might be a better choice than spatial joins! Further listening! The H3 Indexing System https://mapscaping.com/podcast/h3-geospatial-indexing-system/ Hex Tiles https://mapscaping.com/podcast/hex-tiles/ Points of Interest data https://mapscaping.com/podcast/all-of-the-places-in-the-world/ Dark Data https://mapscaping.com/podcast/unstructured-data-is-dark-data/ Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works. To do that I invited Daniel Whitneck back on the podcast You can connect with Daniel here https://datadan.io/ and listen to his previous episode here: https://mapscaping.com/podcast/an-introduction-to-artificial-intelligence/ This is perhaps the quote for the episode that I have spent the most time thinking about "We always thought AI would be logical and lack creativity - but it is almost the exact opposite" This reframes the idea of being wrong to being creative which I think you could argue really depends on the context! If you have not already played around with ChatGPT it's well worth spending the time to experiment with it ... while its still free ;) https://chat.openai.com/auth/login Further listening If you have not already listened to this episode about computer vision and GeoAI you might find it interesting. Listen out for the discussion around plausible / realistic data and real measurements - I think this gives more context to the use cases for generative AI https://mapscaping.com/podcast/computer-vision-and-geoai/ You might also enjoy this episode about fake satellite imagery https://mapscaping.com/podcast/fake-satellite-imagery/ BTW I have started a job board for geospatial people feel free to check it out!

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images. You might think that this is exactly what we are doing in earth observation but there are a few important differences between computer vision and what some people refer to as GeoAI. This week Jordi inglada is going to help you understand what those differences are and why it's not always possible to use Computer vision techniques in the field of Remote Sensing. Listen out for these key points during the conversation! Why plausible or realistic data is not always a substitute for actual measurements, except when it is ;) In computer vision we can learn from the data, in earth observation we know the physics To do interesting work in data science you need to - Computer science, applied math, and domain expertise. You don’t need to be an expert in all three but you need to be interested in all three Vectors in the machine learning world don’t necessarily have anything to do with points lines and polygons ;) Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing. dataspace.copernicus.eu/ http://dataspace.copernicus.eu/ Related Podcast Episodes Super Resolution https://mapscaping.com/podcast/super-resolution-smarter-upsampling/ Fake Satellite Imagery https://mapscaping.com/podcast/fake-satellite-imagery/ Sentinal Hub https://mapscaping.com/podcast/sentinel-hub/ Google Earth Engine https://mapscaping.com/podcast/introducing-google-earth-engine/ Microsofts Planetary Computer https://mapscaping.com/podcast/the-planetary-computer/ BTW MapScaping has started a Job Board! it's in the early stages but it's live Jobs - Mapscaping.com Some more episodes you might enjoy ESRI, GIS careers, Geospatial Data Science QGIS, Geospatial Python, ArcGIS Pro Google Maps, Geomatics, Cartography Location Intelligence, Mapping

Data is what data does - more about that later on ;) This episode focuses on designing for privacy, how do we create value from location data without sacrificing personal privacy? Well, you might start by adhering to the Enhanced Standards For Precise Location Information which means that information about sensitive places like churches, hospitals, military bases, and LGBTQ+ spaces isn't misused or sold. Plus, they protect our exact location from being shared with law enforcement or bounty hunters! Yes, that's right bounty hunters! You might also think about adding noise to the data, maybe you want to blur the time stamp and look at everything in aggregate? It turns out the location data is not just classified as personal data but is actually classified as sensitive personal data in privacy law so if you are going to work with it you really need to understand the risks involved. One of the really interesting ideas mentioned by Elizabeth Hein VP of Compliance & Data Protection was the idea of regulating Use, Harm, and Risk instead of sensitive data Data Is What Data Does: Regulating Use, Harm, and Risk Instead of Sensitive Data If you want to learn more about POI data and why points of interest data are so hard check out the episode called All of the Places in the World: https://mapscaping.com/podcast/all-of-the-places-in-the-world/ On a side note, I am working on a side project, it's a job board for geospatial people, and you can find it here https://mapscaping.com/jobs/ it's still in the development phase but feel free to check it out!

When comparing multispectral and hyperspectral data it is not simply a case of “more data more better”! With hyperspectral you have “The curse of Dimensionality” but you also get more flexibility to pick exactly what bands you want to use! With multispectral you have less noise but you also have less data! This episode is designed to be a beginner's guide to the differences between hyperspectral and multispectral satellite data. You can reach out to Gordon Logie here: https://sparkgeo.com/blog/team/gordon/ Podcast episode with the CEO of Sentinel-Hub https://mapscaping.com/podcast/sentinel-hub/ Here are some courses that focused on hyperspectral and offer further training https://eo-college.org/courses/beyond-the-visible/ https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-agricultural-applications/ https://www.enmap.org/events_education/hyperedu/

This week we are going to learn how Foursquare is trying to identify and map all of the places in the world! Foursquare uses a mixture of crowd source and data conflation to maintain a database of 205 million places ... and it's not easy! Each phone might see the world slightly differently in terms of location accuracies and crowdsourcing data means that people "check-in" at different locations. Kyle Fowler - Senior Director, Engineering at Foursquare Is going to give a behind-the-scenes look at how the "Orginal location-based social network" is trying to map all of the places in the world. This episode is the first in a series of episodes I am going to publish in partnership with Foursquare and the idea is to use it as a reference for later episodes about Privacy and location data, Knowledge Graphs, AI, Location Based Marketing and Big geospatial Data in the Browser.

Protomaps is a serverless system for planet-scale maps, it's an umbrella project consisting of a few different components one of which is PMtiles. PMtiles is “Cloud Optimise Geotiff” for web mapping, what this means is that you can build a base map and host it without the need for a server! PMtiles is a single file that you can access via HTTP range requests in the same way that you can access data within a Cloud Optimised Geotiff with the important difference that PMtiles can also contain vector data! What this means is that you can create your own base map, and host it on something like Amazon S3 object storage at a fraction of the cost of other base map solutions! During this episode, you will hear Brandon, the founder, and creator of Protomaps, talk about scarcity, and well I have never really thought about base maps as being a scarce resource I can definitely see how a product like PMtiles could remove some of the barriers to entry for a lot of creativity in terms of base maps. More information on Protomaps is here: https://protomaps.com/ Tippecanoe https://github.com/felt/tippecanoe.git https://bertt.wordpress.com/2023/01/06/creating-vector-pmtiles-with-tippecanoe/ Relevant podcast episodes Cloud Optimized Point Clouds https://mapscaping.com/podcast/cloud-optimized-point-clouds/ Cloud Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ Microsoft’s Planetary computer https://mapscaping.com/podcast/the-planetary-computer/ Stamen Design - Full Stack Cartography https://mapscaping.com/podcast/full-stack-cartography/ If you have any questions or comments, let me know, I would love to hear from you!

Storytelling with point clouds This is not your typical point clouds episode! Today we are talking about how to use point clouds to tell a story. During this episode, you will hear Benjamin Muller talk about using a point cloud to make a film about the city of St Gallen in Switzerland and you might be tempted to think … what a waste of time! Why not use the data to make better measurements that lead to better decisions? How many IT projects have failed, not because they were based on bad decisions but because they failed to get people to adopt the changes? The best decisions are meaningless unless they are adopted. So, how do we get people to change or adopt the change we are trying to make? I think the first thing to understand is that packaging matters! This episode is a case study into wrapping our ideas in a story and visualizing them using geospatial data. Here is a link to the visualizations that were created using the point cloud data https://www.gruenesgallustal.ch/resume You can take a look HxDR platform here https://hxdr.com/ If you are interested in more technical episodes about point clouds you might enjoy these! The Point Data Abstraction Library https://mapscaping.com/podcast/pdal-point-data-abstraction-library/ Cloud Optimized Point Clouds https://mapscaping.com/podcast/cloud-optimized-point-clouds/ Bathymetric Lidar https://mapscaping.com/podcast/bathymetric-lidar-and-blue-carbon/ Lidar from Drones https://mapscaping.com/podcast/lidar-from-drones/ Lidar from Space https://mapscaping.com/podcast/gedi-space-lasers/

You are about to meet Peter Spencer, a Freelance Archaeologist, Surveyor, and Geomatics Specialist You are also about to learn how geospatial tech and techniques are being applied in the field of archaeology at an object scale with laser scanning that enables fragments of skeletons from all over the world to be 3D printed and pieced together locally. At a site scale LiDAR, ground penetrating radar, and photogrammetry have completely changed the game in terms of modeling archaeological sites in a non-destructive manner. And at the landscape scale, Earth observation data and AI are being used to prospect for new sites! You can connect with Pete here https://www.linkedin.com/in/peter-spencer-mcifa-162292136/ If you find this episode interesting you might like these episodes ;) Using Synthetic Aperture Radar ( from space ) to find where drinking water is leaking out of pipes https://mapscaping.com/podcast/finding-water-leaks-from-space/ This episode is all about using LiDAR from drones https://mapscaping.com/podcast/lidar-from-drones/ The earth archive project is one archaeologist's goal to scan the entire world using LiDAR to create an archive for the future. https://mapscaping.com/podcast/the-earth-archive/

Warning! this podcast episode is not as boring as it sounds! While geospatial standards are boring on purpose ... this episode is not .- If you woke up this morning wanting to listen to a boring podcast episode about geospatial standards this is not for you! Scott Simmons ( OGC’s Chief Standards Officer ) https://www.ogc.org/about/team/scott-simmons/ helps us understand what a Geopose is and how it might be used, why we need GeoRSS, and something called SensorThings! You will also learn about the PubSub standard for the syndication of spatial data and why streaming data is not always the answer. We also discover what the most boring geospatial standard is and when the shapefile "might" die. All in all, this is a light-hearted look at a very serious topic and I hope you enjoy it! What to know more about the Open Geospatial Consortium? this is a good place to start! https://mapscaping.com/podcast/the-open-geospatial-consortium/

It sounds like a clickbait title, right? And to be fair I am trying to capture your attention but this is not clickbait in the sense that the title makes a promise that the episode lives up to! This is not a “get-rich-quick-scheme” its a story about someone like us who is earning money by using his geospatial skills to teach others. Konrad Hafen is a hydrologist with the USGS and runs two websites and a youtube channel, he is a geospatial content creator who makes money from ads and from selling online courses. Websites https://geospatialschool.com/ https://opensourceoptions.com/ Youtube channel https://www.youtube.com/@opensourceoptions Each episode I publish has some sort of editorial intent, the intent of this episode is to show you a real-life example of someone like us who is using their geospatial knowledge if a different way. Not because I think this is for everyone! But because I think the more examples we are exposed to of people doing something different the more options we might see in our own lives. We don’t have to take advantage of these opportunities but there is some comfort in knowing that they are there. That we are not stuck. If you listen to this episode and what to learn more about making money with geospatial content, Konrad and I will host a free webinar ( if we get enough interest! ) where we teach you the basics. Sign up here https://geospatialschool.com/webinar/

Distributing Geospatial Data - Every wondered why you might what to do this? Or maybe you understand the why but are unsure about the how? Perhaps you have heard people talk about partitioning data or sharding data, you might have heard some of these terms used in the context of enterprise-scale geospatial systems and parallel processing and thought … Wow … that sounds daunting! This podcast episode is meant to be a soft introduction to the world of distributed geospatial databases and some of the concepts surrounding them. Along the way, you will be introduced to something called Apache Sedona which is a cluster computing system for processing large-scale spatial data, and hear the surprising stat that 97% of enterprise data remains unused! … perhaps because of the lack of context? You can connect with Mo Sarwat on Twitter https://twitter.com/MoSarwat Or at https://mosarwat.org/ During the conversation, we mention PostgreSQL and PostGIS a few times which are topics that we have covered in previous podcast episodes Servicing Dynamic Vector Tiles from PostGIS https://mapscaping.com/podcast/dynamic-vector-tiles-straight-from-the-database/ An introduction to PostgreSQL https://mapscaping.com/podcast/postgresql-an-open-source-geospatial-database-for-gis-practitioners/ Spatial SQL https://mapscaping.com/podcast/spatial-sql-gis-without-the-gis/ Toward the end of the conversation, we touch on the idea of cloud-native geospatial formats, and if you are interested in understanding this concept you might find these two previous episodes helpful Cloud Optimized Point Clouds https://mapscaping.com/podcast/cloud-optimized-point-clouds/ Cloud Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ If you have any questions or comments please feel free to reach out! I would love to hear from you

So you might be wondering why the United Nations World Food Programme needs a geospatial support unit. Let me give you a brief overview, Basically, they curate and maintain global datasets that they use to model the risk of sudden-onset disasters than might lead to a food security risk. They use this model to send out early warnings to at-risk communities and help with the response when disasters happen. Of course, there is more to it ... But I will let Rohini Sampoornam Swaminathan ( The head of the Geospatial Support Unit at the UN World Food Programme) explain it in more detail. The Hunger Map https://hungermap.wfp.org/ BeforeAfterMap OSM Before-After Maps is an online tool that allows anyone to easily compare how a particular area looked in terms of OpenStreetMap (OSM) data at two different years, side by side, and get a visual insight into mapping contributions over time. https://beforeafter.baato.io/

Personally, I don't feel like aerial imagery gets the attention it deserves! So I invited Michael Bewley - Senior Director of AI Systems at Nearmap back on the podcast to help bring us up to speed on the state of the art of capturing, processing, and building a business around aerial imagery. If you don’t care about aerial imagery, think of this as a story about turning unstructured data into structured data into insights and building a business around that. You can connect with Micheal on Twitter and LinkedIn https://twitter.com/michaelbewley https://www.linkedin.com/in/michaelbewley/ Listen out for the following highlights It's not a camera it's an imaging system! Detecting change is not hard, detecting meaningful change is hard Are human abilities still a good benchmark for AI systems? How to determine if an AI system is a prototype or production ready Previous Interview with Michael Bewley https://mapscaping.com/podcast/collecting-and-processing-aerial-imagery-at-scale/ Stratospheric Balloons As Remote Sensing Platforms https://mapscaping.com/podcast/cube-satellites-of-the-stratosphere/

This episode covers a wide range of topics from the role of geospatial in systems thinking - representing natural systems in location systems and how we can apply the technology behind virtual worlds to the real world. During this conversation, it became clear to me that technology should be used in service of culture and not the other way around. I think in terms of geospatial we have an interesting opportunity to have an outsized impact if we can just figure out how to market it! I often think about problems as being either technological or cultural and it seems to me that technology generally moves faster than culture. Although I am sure we can all think of some great examples of huge cultural shifts that have happened in response to short-term emergencies in the past few years. Culture seems to react to technology as opposed to driving technology. I think if we were all better at marketing we could change this. Connect with Ingo Simonis https://www.linkedin.com/in/ingosimonis/ Previous Episodes featuring the Open Geospatial Consortium The Open Geospatial Consortium https://mapscaping.com/podcast/the-open-geospatial-consortium/ Open Geospatial standards - shared standards to solve shared problems https://mapscaping.com/podcast/open-geospatial-standards-shared-standards-to-solve-shared-problems/

My guest on the show today is Mike. Today Mike is the founder of a software startup called ChroneChards, but he started as a cartographer for an adventure race and Patagonia. So he has come a long way. A couple of other really interesting points about Mike. He is a self-taught software developer and he is a self-taught businessman. The reason why I mentioned this means that if he can teach himself these things, then you can do it too. And as you'll discover later on in the episode, all you have to do is to get really, really comfortable with uncertainty. You can connect with Mike here https://chrono.cards/ or on Twitter https://twitter.com/get_ChronoCards It's probably worth riffing on this idea of uncertainty just for a minute. I think this is one thing that we all have in common. There'll be something about our lives, professional or private that we are uncertain about. I've had the pleasure over the last three, four, or five years of talking with a few different people that have overcome a lot of uncertainty. People that are self-taught software developers like Mike, people that have started their own GIS geospatial consultancies, and build their own businesses around their skills, none of those people have overcome uncertainty. None of those people are now immune to uncertainty! They have simply learned to live with it. So as someone who has experienced and continues to experience a lot of uncertainty, these stories have really helped me they've really had a positive impact. It's been great to know that other people go through this too. So here are some links to those episodes and hopefully, they will inspire you as well. From GIS Analyst to Software Engineer https://mapscaping.com/podcast/from-gis-analyst-to-software-engineer/ Starting your own geospatial consultancy https://mapscaping.com/podcast/starting-your-own-geospatial-consultancy/ Self-employment in the GIS / Geospatial industry https://mapscaping.com/podcast/self-employment-in-the-gis-geospatial-industry/ Being self-employed in the earth observation sector https://mapscaping.com/podcast/being-self-employed-in-the-earth-observation-sector/ Mid-career change https://mapscaping.com/podcast/mid-career-change/ I quit my job https://mapscaping.com/podcast/i-quit-my-job/

If 80% of all data has a spatial component why do we need to approach mature and emerging markets differently? With everyone racing to democratize location technology why is GIS still a valuable skill? What are consultancies looking for when they hire geospatial consultants? Answers to these questions and much more in this episode where we focus on geospatial consulting, as a business and career path. Todd Slind - VP of Technology at Locana.co Connect with Todd on Twitter or LinkedIn Recommended Podcast Episodes The Business of Web Maps Building a web-based mapping tool into a business A Business Built on Open-Source GIS Being A Graduate Geospatial Consultant Hiring and Being Hired for Geospatial Jobs Getting Where You Want To Go In Your Geospatial Career

FROM THE ARCHIVE! Calculating the location of your mobile device ( the blue dot ) is not as straightforward as you might imagine. It involves databases of wifi hotspots, 3D city models, IMU's, GNSS, your proximity to cell towers, and maybe something called visual positioning. Ed Parsons - Googles Geospatial Technologist explains previous podcast episode that you might enjoy! SATELLITE-BASED AUGMENTATION SYSTEM - A BASE STATION IN THE SKY POSITIONING AS A SERVICE AND THE ROLE OF SMARTPHONES IN THE FUTURE OF GEOLOCATION USING THE GEOMAGNETIC FIELD OF BUILDINGS TO NAVIGATE INDOORS HYPER-ACCURATE INDOOR LOCATION NAVIGATING THE PAST, PRESENT AND FUTURE OF GNSS Happy to connect with you on LinkedIn https://www.linkedin.com/in/danielodonohue/ Or Twitter https://twitter.com/MapScaping

Tropical forests are large sources of Greenhouse Gas (GHG) emissions, due to deforestation. They could instead be a big part of the climate solution. Through Norway’s International Climate & Forests Initiative (NICFI), users can now access high-resolution, analysis-ready mosaics of the world’s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development for noncommercial uses. MapComplete https://mapcomplete.osm.be NICFI - Through Norway’s International Climate & Forests Initiative https://www.nicfi.no/ Planet NICFI https://www.planet.com/nicfi/

Cloud Optimized Point Clouds ( COPC) allow you to stream point cloud data! Cloud Optimized Geotiffs made raster data streamable and now its time for Point Clouds to be just as accessible! https://weeklyosm.eu/ weeklyOSM updates the community, on a weekly basis, about what is going on in the OSM Universe. Thanks, OpenCage! https://opencagedata.com/ Related Podcast Episodes PDAL - Point Data Abstraction Library https://mapscaping.com/podcast/pdal-point-data-abstraction-library/ Cloud Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ Microsoft's Planetry Computer https://mapscaping.com/podcast/the-planetary-computer/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

We cover a lot of ground in this episode but some of the key takes are: A key difference between visualizing non-spatial data and spatial data is that non-spatial data gives you the freedom to choose the locations of different objects. Design is not a process, a way of thinking, and the outcome of not necessarily something visual We are getting closer to the promise of custom maps for everyone, and we are already seeing personalized maps Content with Alan Mcconchie here: https://stamen.com/people/alan-mcconchie/ And learn more about Stamen Design here: https://stamen.com/ https://healthsites.io/ Building an open data commons of health facility data with OpenStreetMap Recommended Episode about Cartography https://mapscaping.com/podcast/communicating-with-maps-the-art-of-cartography/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

For some time, there was hype around AI and data science and that they would solve all of our problems. If you think AI solves every problem, then you’re overestimating its utility and where we’re at. However, on the other side, if you’re a business of any size, operating at least some type of technology, and you think AI can solve none of your problems — you’re also mistaken. We’re somewhere in the middle. Daniel Whitenack, Data Scientist and host of the Practical AI podcast gives us a really great introduction to Artificial Intelligence and you don't need be a data scientist to understand it! Connect with Daniel Whitenack here https://datadan.io/ or check out the Practical AI podcast For more episodes just visit https://mapscaping.com/podcasts/ and sort all the episodes by "geospatial career" Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Grow your career — or reimagine it entirely, what do you do if find yourself wanting to make a change halfway through your career? This episode with Thierry Gregorius from https://truehorizoncoaching.com/ is more of a discussion than an interview and if you are thinking about making a change in your career it might help you answer the question "what do I do next" Recommended Podcast episodes focusing on careers in Geospatial Getting Where you want to go in your geospatial career https://mapscaping.com/podcast/getting-where-you-want-to-go-in-your-geospatial-career/ Geospatial Side Hustles https://mapscaping.com/podcast/geospatial-side-hustles/ I quit my job https://mapscaping.com/podcast/i-quit-my-job/ Mentorship, leadership and career advice https://mapscaping.com/podcast/mentorship-leadership-and-career-advice/ Business ideas for geospatial people https://mapscaping.com/podcast/business-ideas-for-geospatial-people/ What is your idea https://mapscaping.com/podcast/what-is-your-idea/ Python Maps https://mapscaping.com/podcast/python-maps/ For more episodes just visit https://mapscaping.com/podcasts/ and sort all the episodes by "geospatial career" Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

This is a story about a peer-to-peer mapping technology that is enabling people to "fight maps with maps" https://www.digital-democracy.org/ You can find Mapeo here https://www.digital-democracy.org/mapeo/ Promoting OSM projects OpenCage and Mapscaping are working together to help projects based on OpenStreetMap reach a wider audience. Projects will be selected to be featured on upcoming Mapscaping podcast episodes, with all costs covered by OpenCage! Apply here! https://forms.reform.app/NAvQ41/opencage-mapscaping/af9MFV Recommended Podcast episodes about Off-line mapping MerginMaps - QGIS offline and in the feild https://mapscaping.com/podcast/qgis-offline-and-in-the-field/ https://mapscaping.com/podcast/two-mobile-data-collection-apps-you-need-to-know-about/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Applications of thermal imaging from space include monitoring wildfires, urban heat islands, economic activity, and the built environment. But it's not easy ;) Connect with Robin Cole at https://robmarkcole.com/ Check out the Earth Observation Hub! https://geoawesomeness.com/eo-hub/ More Geospatial Podcasts episodes Recommended Podcast Earth Observation Podcasts Fake Satellite Imagery https://mapscaping.com/podcast/fake-satellite-imagery/ The LandSat Program https://mapscaping.com/podcast/the-landsat-program/ How To Keep Your Satellite Pointing At Earth https://mapscaping.com/podcast/the-landsat-program/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

After 12 years of working as a GIS specialist / Consultant, I quit and I am ready to move on. Looking back at the last 12 years if I could go back in time and give myself some advice I would tell myself these 8 things. Boring Work won’t necessarily lead to interesting work Getting good at something typical leads to doing more of that thing Have more empathy for the professionals that you work with Think more about where you are trying to go Network Find a mentor Sometimes it's just not a good fit You don’t get to decide what is broken Things I need help with Share the podcast with a friend, a community anyone that you think might find it interesting or helpful I am looking for projects based on or around OpenStreetMap - this is part of a promotional campaign that I am doing together with OpenCage - More information here More podcast episodes on GIS and Geospatial topics can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

It turns out that monitoring atmospheric pollution from space is really hard! But if you can do it will help you understand air quality, solar energy, ozone Layer and UV radiation, emissions and surfaces fluxes, and climate forcing Contact Mark on Twitter https://twitter.com/m_parrington Copernicus Atmospheric Monitoring Service https://atmosphere.copernicus.eu/ https://twitter.com/CopernicusECMWF Check out the Earth Observation Hub! https://geoawesomeness.com/eo-hub/ More Geospatial Podcasts episodes Recommended Podcast Earth Observation Podcasts Fake Satellite Imagery https://mapscaping.com/podcast/fake-satellite-imagery/ The LandSat Program https://mapscaping.com/podcast/the-landsat-program/ How To Keep Your Satellite Pointing At Earth https://mapscaping.com/podcast/the-landsat-program/

The problem of unification: Spatial data comes in many different sizes, shapes, and formats making it a difficult and time-consuming process to join data for visualization, exploration, and analysis. Enter the Hex Tile system! Contact Foursquare: connect.foursquare.com/mapscaping Check out Unfolded https://foursquare.com/products/unfolded/ https://www.unfolded.ai/ Introducing Hex Tiles: https://foursquare.com/article/introducing-hex-tiles-our-next-gen-tiling-system/ Example Maps https://studio.unfolded.ai/public/e86787a1-4871-4fbb-8eb8-33445e81ca73 https://studio.unfolded.ai/public/e3a6d2df-1784-4686-972b-9d3793c2515d https://studio.unfolded.ai/public/beb3cf0d-211d-4e5c-b08d-663da9a0631d Recommended Podcast Episodes Dynamic Vector Tiles Straight From The Database H3 Geospatial Indexing System

This is a story about a hobby project called Scribble Maps that grew into business… but it's also a story about the opportunities and challenges of creating geospatial tools for non-geospatial professionals. Jonathan Wagner “Its easy to get people to make a map today, but how do you get them to come back and make a map tomorrow?” Special Offer for Listeners The MapScaping Audience ScibbleMaps.com/mapscaping More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

This is a story about finding water on Mars and adapting the technology to look for leaking pipes underground here on earth ... but in this story, we don't just solve the problem, we build a business around it! Lauren Guy From https://asterra.io/ Sponsored By https://geoawesomeness.com/eo-hub/ Recommended Podcast episodes Introduction To Synthetic Aperture Radar ( SAR) Flood Monitoring From Space Counting Animals Using Satellite Imagery More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

It turns out that satellites are not as passive as you might think, and in the case of earth observation satellites it's not easy to keep them pointing at earth! But if you have a map of the stars, a sun tracker, and are able to keep an eye on the earth's horizon ... it's possible Jack Reid https://twitter.com/Jack_B_Reid MIT Media Lab Sponsored By Lightbox https://www.lightboxre.com/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/ Recommended Podcast episodes Navigating The Past, Present, and Future of GNSS Satellite-Based Augmentation System-A Base Station In The Sky The Landsat Program

This is a story about bathymetric Lidar... and how geo-tagged sharks led to the discovery of a huge nature-based carbon sink in the Bahamas. More on this case study here: https://r-evolution.com/r-initiatives/oceans The Ocean of Things https://www.darpa.mil/program/ocean-of-things Recommended Podcast episodes Mapping The Ocean Floor Mapping Oceans With Sound And Mapping The Sound In The Oceans PDAL -Point Data Abstraction Library Whitebox Tools Is The Backend To Many Frontends consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Republishing this episode because of the audio issues with the original episode! Mergin Maps lets you create QGIS projects that can be used to collect and edit data in the field. You see updates in near real-time, even from the field. Works offline. Edits are merged automatically. View and edit geodata in the field. Integrate with existing GIS infrastructure using open formats. https://merginmaps.com/ http://merginmaps.com/community/join. slack channel https://twitter.com/lutraconsulting or reach out on Twitter Episode Show Notes here: https://mapscaping.com/podcast/qgis-offline-and-in-the-field/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

The Open Geospatial Consortium (OGC) is an international consortium of more than 500 businesses, government agencies, research organizations, and universities ... but why should you care? Maybe because this community is defining the future of geospatial infrastructure across all verticals! Maybe because they are determining a set of "the best practices" when it comes to solving big problems like climate change. Or ... if you have a business ... maybe because joining the OGC membership might just be the greatest marketing hack in the geospatial industry ;) Here is a list of current members https://www.ogc.org/ogc/members Recommended Episodes Open Geospatial Standards – shared standards to solve shared problems https://mapscaping.com/podcast/open-geospatial-standards-shared-standards-to-solve-shared-problems/ Cloud Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/

WhiteBox Contains over 500 geospatial analysis tools. Many of these tools have novel functionality that you won’t find in other software and it's FREE to use! But is it possible to monetize an open-source geospatial project? and if so how would you do this? This episode is a follow-on from last week's episode so consider listening to that first. Last week's episode was a technical overview of what WhiteBox Tools is, this week's episode is about turning WhiteBox Tools into a business to ensure that the project is sustainable. https://www.whiteboxgeo.com/ Sponsored By Lightbox https://www.lightboxre.com/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

WhiteBox Contains over 500 geospatial analysis tools. Many of these tools have novel functionality that you won’t find in other software and it's FREE to use! https://www.whiteboxgeo.com/ Sponsored By Lightbox https://www.lightboxre.com/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Mergin Maps lets you create QGIS projects that can be used to collect and edit data in the field. You see updates in near real-time, even from the field. Works offline. Edits are merged automatically. View and edit geodata in the field. Integrate with existing GIS infrastructure using open formats. https://merginmaps.com/ http://merginmaps.com/community/join. slack channel https://twitter.com/lutraconsulting or reach out on Twitter Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Sentinel Hub makes satellite data easily accessible for you to be browsed or analyzed within your own environment. Imagine something between The Microsoft Planetry Computer and Google Earth Engine and you are probably thinking about Sentinel Hub! https://www.sentinel-hub.com/ https://www.sentinel-hub.com/explore/eobrowser/ Sponsored By Lightbox https://www.lightboxre.com/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/ Recommended Podcast Episodes Cloud-Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/ Introduction To Google Earth Engine https://mapscaping.com/podcast/introducing-google-earth-engine/ The Planetary Computer https://mapscaping.com/podcast/the-planetary-computer/

This episode is all about Unstructured Data but alone the way you will be introduced to the concept of 1st 2nd and 3rd order metadata, edge computing, and knowledge graphs. And yes "Dark Data" is a thing! "the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing)" Connect with Kirk from https://www.unstruk.com/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Modern GIS is the process, systems, and technology used to derive insights from geospatial data. Modern GIS uses open, interoperable, and standards-based technology. It can be run locally or in the cloud and can scale to work with many different types, velocities, and scales of data. Connect with Matt Forest on LinkedIn of here https://forrest.nyc/ Sponsored By Lightbox https://www.lightboxre.com/ More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

FOSS4G is the acronym for Free and Open Source Software for Geospatial. It is the annual recurring global event hosted by OSGeo, the non-profit organization that supports and promotes the collaborative development of free and open-source geographic technologies and open geospatial data. find out more at https://2022.foss4g.org/ Early bird registration, for onsite and online: * https://2022.foss4g.org/registration_onsite.php * https://2022.foss4g.org/registration_online.php Travel grant program: * https://2022.foss4g.org/travel_grant_programme.php More podcast episodes on Open Source Geospatial tools can be found on our website https://mapscaping.com/podcasts/ Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/

Tom MacWright is building a web-based mapping tool into a business and you are probably thinking, wait, don't we have those already? So why is he building a new one? and why take the risk of trying to build it as a business? This is an open and honest discussion that is relevant for anyone with an idea to make something new. You can catch Tom here https://macwright.com/ or on Twitter @tmcw And check out Placemark.io Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/