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

Hugo Powell from immap.org discusses leveraging GIS for rapid decision-making in emergencies. Tools like Kobo Toolbox, ODK Collect, QGIS, Tableau, Power BI, HDX, and HOT are highlighted for data collection, analysis, and visualization. The importance of local knowledge, open-source software, and global connectivity in humanitarian GIS work is emphasized.

Brendan Ashworth, CTO of Bunting Labs, talks about AI Autocomplete for vectorization in QGIS. They discuss challenges in map digitization, the development process, and why QGIS was chosen over other platforms. Brendan's journey from software engineer to geospatial tech player is highlighted, along with the potential of merging geospatial data with machine learning.

Learn how Emlid revolutionized high precision GNSS receivers, making them more affordable and user-friendly. Discover the innovations in GNSS technology that reduced costs and size, paving the way for centimeter accuracy positioning. Explore the challenges of bringing high precision positioning to smartphones and the potential of combining GNSS with visual positioning technologies for better mapping efficiency.

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    

Discover what modern geospatial entails as the CEO of SparkGeo, Will Cadell, discusses the intersection of cloud, smart space, open source data/standards, AI, and smart devices. Learn the importance of modernization versus innovation in enhancing geospatial capabilities and understanding end-users' perspectives for better solutions.

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/

In this episode of the MapScaping Podcast, Kushang Wu discusses GMAP, an open-source Python library for interactive mapping with Google Earth Engine. He explores the development process, the differences between client and server objects in GIS, and the capabilities and limitations of GMAP. He also emphasizes the impact of sharing geospatial tools and resources and provides links for further exploration.

This podcast explores the concept of reimagining GPS and utilizing a large number of measurements from multiple devices to improve accuracy. It discusses the potential of turning every phone into a base station for high-precision GNSS and the future advancements in mobile device positioning. The podcast also delves into the fusion of different sensors for positioning, the challenges of location spoofing, the value-based pricing in GPS technology, and the importance of redefining cost structures.

Nyall Dawson, QGIS developer and founder of North Road, shares his journey into geospatial, discussing the satisfaction of contributing to QGIS development, pricing challenges for freelancers, transitioning to full-time consulting, and the collaborative nature of the open-source industry.