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A podcast for geospatial people. Weekly episodes that focus on the tech, trends, tools, and stories from the geospatial world. Interviews with the people that are shaping the future of GIS, geospatial as well as practitioners working in the geo industry. This is a podcast for the GIS and geospatial community subscribe or visit https://mapscaping.com to learn more
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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 dev…
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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 …
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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 …
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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…
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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 technolo…
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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 Geo…
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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.…
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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/naviga…
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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 wante…
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This episode is all about making beautiful maps ... I am not a cartographer but my guest Mamata Akella is a professional cartographer at Felt! So today on the podcast we are talking about Essential Elements of Map Design: Which of course starts with questions like - who is it for, what is it for and how do we get it to them? And then moves on to Vi…
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Planet manufactures and manages the world’s largest constellation of earth observation satellites! Imaging “Just about everywhere on earth just about every day – Making change visible, accessible, and actionable” … and the hope of this episode is to help you understand how they do that – along the way you will hear about their two constellations an…
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This episode is a story about wide-angle imaging for fire mapping and maritime search but it's also a story about changing the culture and getting people to trust a new way of doing things. My guest today is Alison Harrod - mission success manager at a start-up called Overwatch imaging Whenever I work with a company like Overwatch Imaging it is har…
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It's not about becoming an influencer it's about creating opportunities for yourself In this episode, we tackle the common misconception that personal branding is solely for influencers, revealing how it's actually about creating the right visibility and opportunities in your professional sphere. Helena Merschdorf shares her unique insights, drawin…
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Entity resolution is the process of matching and merging records from different sources that refer to the same entity. today's episode is about entity resolution for place data, why you might want to do that, and what any of this has to do with the dollar, Unix time and the idea that If data is really driving innovation, join keys are going to beco…
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Embracing Open-Source Geospatial Technology is easy as an individual but what if you want your organization to use FOSS4G How do you get strategic buy-in? It turns out that the software does not sell itself and that even in the age of AI we still have to convince a human if we want organizational change to to happen. I think the temptation is to sa…
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** Warning** Consuming this content may lead to educated opinions and or a better understanding of the future of location technology! ** Proceed with caution!! ** If are curious about any of the following topics this episode is for you! Evolution of Positioning Systems Terrestrial-based Positioning: The role of Wi-Fi positioning and the potential o…
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In this podcast episode, Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation, a downstream product of OpenStreetMap. He explains his background in open map data and his interest in studying collaboration within the OpenStreetMap community. Jennings then dives into the Daylight Distribution, an open data product p…
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100 billion Points Every Day 100 billion is a very large number, let's say that I gave you a spreadsheet with 100 billion rows in it, each row consisted of five columns Latitude, Longitude, Device ID, A Timestamp, and a column telling the name of the data provider What would you do with that? How would you clean it? Make sense of it? Extract value …
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Computer vision is everywhere! But teaching an algorithm to identify objects requires a lot of data and this is definitely the case when we think about GeoAI But it is not enough to have a lot of data we also need data that is labeled If we are looking for cars in images we need a lot of images of cars and we need to know which pixels are the car! …
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This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data. Hub Ocean - as the name suggests is a hub for ocean data Now we have talked about these kinds of data hubs before on the podcast - Sentinal Hub - a data hub for earth observation data, Microsoft Planetary Computer, Google Earth Eng…
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felt.com is a browser-based mapping tool and its also a reminder that just because we have always done web mapping one way it doesn’t mean it always has to be done that way. For example, Felt lets you upload anything! That's a bold promise, you can upload anything you want and we will figure it out on the back end. Felt is also the first and only f…
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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 …
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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 no…
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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 r…
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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 satel…
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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 t…
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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…
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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 see…
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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, Geoma…
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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…
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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-a…
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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 ingl…
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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,…
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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'…
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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 mean…
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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 rang…
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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 no…
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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 locall…
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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-simmon…
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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…
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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 though…
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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 comm…
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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…
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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. …
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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…
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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…
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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 ep…
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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…
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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/ …
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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 clo…
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