The Cloud-Native Geospatial Foundation is an initiative of Radiant Earth to increase adoption of highly efficient approaches to working with geospatial data in public cloud environments. Our overarching goals with the Cloud-Native Geospatial Foundation are to make geospatial data easier to work with, more interoperable, and accessible to more people worldwide.
External link for Cloud-Native Geospatial Foundation
Cloud-Native Geospatial Foundation reposted this
Our open-source development team is making it easier to use Zarr to create web visualizations of high-resolution earth science data. Read more about our new toolkit for data-driven maps at the Pangeo Medium blog. https://lnkd.in/guHnMSwb
The initial goal of #GeoParquet was modest: to ensure that any tool reading or writing spatially located geometries (points, lines and polygons) does so in a consistent and interoperable way. But the ultimate goal has been to make #geospatial a primary data type within the broader data community. Chris Holmes and Javier de la Torre discuss in their latest blog post a future where geospatial data is integrated across the data landscape. https://lnkd.in/eUBGaSTE
Cloud-Native Geospatial Foundation reposted this
Overture Maps Foundation data is a treasure of world wide geospatial open data, thanks to OpenStreetMap data and other sources. Data are shared as Cloud Native #geoparquet format on S3 and are free to use. This quick POC illustrates the potential that it could leverage By using - #overturemaps places and divisions, - DuckDB with the #duckdbspatial extension, you can easily analyse what's going on on your territory 📊 The example shows the distribution of a given type of place (bars, schools... ) over a level of administrative units (regions, departments, cities) in #Bretagne. More to come 🚀 All from #cloudnative free data 💫 #geospatial #cloudnativegeospatial Camptocamp
Cloud-Native Geospatial Foundation reposted this
Join the #AIforEarthChallenge2024 to unlock new insights about the Earth, develop powerful tools to better understand and protect our planet, and create a benchmark to reward AI satellite models with operational excellence. Clay, a fiscally sponsored project of Radiant Earth, is partnering with Clark University and Development Seed to make this happen. Learn more below!
As part of the #AIForEarthChallenge2024, participants are asked to tackle 7 challenges across a wide range of environment and climate applications. These tasks showcase the operational value of large AI Earth models to address critical environmental issues. Today, we're diving deeper into why the Challenge co-organizers chose two of these tasks. Landcover classification 🏙️🏜🏔 Accurate landcover classification is essential for understanding environmental changes, planning urban development, managing natural resources, and protecting ecosystems. Large AI Earth models enhance our ability to monitor large areas efficiently, providing valuable data for policymakers, researchers, and conservationists. This task in particular requires participants to incorporate spectral signals into their solutions, which helps in identifying and distinguishing various surfaces on Earth. Above ground carbon stock 🌳 🌾 Monitoring carbon stock is crucial for supporting conservation, biodiversity, and carbon sequestration efforts. Accurate estimates of carbon stock support sustainable forest and land management and enable carbon markets to help mitigate climate change. This task also requires participants to incorporate spectral signals, in order to produce numerical estimates of carbon stored in vegetation. These tasks are part of our dedication to deploying #AIforEarth. By focusing on operationally relevant applications, we aim to develop powerful tools that help us understand and protect our planet. Stay tuned for more insights into the other tasks we've selected for the #AIForEarthChallenge2024. You can still join here: https://lnkd.in/e4_C3WMG
Cloud-Native Geospatial Foundation reposted this
#GeospatialData: The State of Data – Jed Sundwall, Executive Director of Radiant Earth's keynote address at SatSummit 2024 https://buff.ly/3z7baxn via Radiant Earth In a nutshell: – Cloud-native works! It helps us move faster and reach more people. Join us! – Let’s get to work creating common data schemas and identifiers. This is critical work that has been overlooked for way too long. – We can’t kick the can down the road hoping that people in power will act on data merely if we make it available. Let’s be bold and transform existing institutions and create new ones. #Geospatial #Data #DataSchemas #OpenData #Automation #AI #ML #TrainingData
Cloud-Native Geospatial Foundation reposted this
Project Jupyter is enabling exciting developments in geospatial data science. Our latest blog post explores how Jupyter Notebooks and cloud-native solutions are transforming browser-based geospatial scientific computing. 🔗: https://lnkd.in/g_uvApsk 🌟 Key highlights: How Jupyter enhances research shareability, readability, and collaboration. Efficient data access and analysis using cloud-optimized formats and tools like STACspec, Xarray, and Dask. Visualization and publishing options in Jupyter, including PyGMT, Folium, and ipyleaflet. Our work on Lonboard to improve map visualization performance using GeoArrow. We're excited about the collaborations, use cases, and advancements happening in this space with folks from 2i2c, QuantStack, and Simula Research Laboratory on projects like NASA-IMPACT VEDA and JupyterGIS, which are pushing the boundaries of EO data analysis in Jupyter. Interested in the future of open science in the browser? We'll be at ESIP and would love to connect! 🔗 Read the full blog post here: https://lnkd.in/g_uvApsk #DataScience #Geospatial #Jupyter #EarthObservation #OpenScience #EarthScienceData
Cloud-Native Geospatial Foundation reposted this
Finally managed to dig up the link to my talk at GeoPython2024! First half is mostly general DuckDB intro and the other half more python oriented. Last talk of the conference and you can definitely tell I'm very sleep deprived haha, but man... check out those code animations during the demo section starting at 6:17:00! 🤤 https://lnkd.in/dFiyUjAm
Cloud-Native Geospatial Foundation reposted this
We're #hiring a new Geospatial Data Engineer - Climate Change in New York City Metropolitan Area. Apply today or share this post with your network.
Cloud-Native Geospatial Foundation reposted this
The New York Times Graphics department looking for an expert in computer vision, machine learning and cloud-based data analysis. Geospatial is a plus. Reach out if interested! https://lnkd.in/e3W6cSKQ
Cloud-Native Geospatial Foundation reposted this
Do you have expertise in #climate, #nature, or #AI? Join the AI for Climate and Nature Grand Challenge AI panel discussion on July 9th and hear from AI experts on the opportunities, benefits & challenges of implementing AI solutions for climate and nature. Register now: https://lnkd.in/eiZxPcRt