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Top Geospatial Open Source Projects Gitplanet

Leo Migdal
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top geospatial open source projects gitplanet

The Open Geospatial Solutions (opengeos) GitHub organization hosts a collection of open-source geospatial software projects. The projects are developed by a community of geospatial software developers and researchers. The projects are maintained by the community and are free to use and modify. The projects are open-source and are licensed under the MIT license. If you are interested in hosting an open-source project with us, please submit a request on the Discussion Board. We always welcome new contributors and collaborators.

Some of the projects hosted by the Open Geospatial Solutions organization are supported by Amazon Web Services (AWS). An open-source JavaScript library for world-class 3D globes and maps :earth_americas: InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally.

Download now. Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets. A modular geospatial engine written in JavaScript and TypeScript I've created a Fog Of War map based on my data export using python in 30 minutes, and decided to build a web app to make it easier for others. Then I spent a whole day trying to figure out how to do it in JS, why it's way slower (https://github.com/Turfjs/turf/issues/2851), how to optimize it (I tried Rust wasm but had too many problems... Geospatial programming can be very challenging, especially for a greenhorn in the GIS or programming world.

However, building hand-on projects can make it fun, as it’ll help you to gain practical development skills, build your portfolio and resume for your next job and you’ll be putting your theoretical knowledge into... In this article, we present six projects with suggested tools, prerequisites and learning resources that would help you to improve your geospatial programming skills. We hope you find them interesting and helpful. There are six of them,we encourage you to take them one at a time and focus on understanding the underlying concepts. Sometimes, understanding the concept is more important than the code you write. Foundational knowledge of at least one of the programming languages listed above.

You could learn your way up by embarking on the projects mentioned here. A platform to convert between several vector and raster GIS data formats. E.g from Esri Shapefile to GeoJSON, GeoJSON to topoJSON, KML to GeoJSON, GeoTiff to ECW, Geotiff to COGs, PNG to GeoTIFF, GEOTIFFs to JPEG, CSV to Esri Shapefile etc. Building a platform like this as a project would greatly improve your development skills because you’ll be doing a lot of research and you’ll combine several tools and libraries to get it in shape. Feel free to build it in your most comfortable language, you can have it on the web, desktop application or as an API, whatever way you choose, the fact remains that you’ll learn a... Long list of geospatial analysis tools.

Geospatial analysis, or just spatial analysis, is an approach to applying statistical analysis and other analytic techniques to data which has a geographical or spatial aspect. The Open Geospatial Solutions (opengeos) GitHub organization hosts a collection of open-source geospatial software projects. The projects are developed by a community of geospatial software developers and researchers. The projects are maintained by the community and are free to use and modify. The projects are open-source and are licensed under the MIT license. If you are interested in hosting an open-source project with us, please submit a request on the Discussion Board.

We always welcome new contributors and collaborators. Some of the projects hosted by the Open Geospatial Solutions organization are supported by Amazon Web Services (AWS). GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. Don't get me wrong, it's a fantastic and ancient coral reef of a library and tool set but has a lot of inconsistencies in naming conventions and usage (gdal_translate, gdalfinfo). Many geospatial professionals are not savvy enough to leverage it without it being wrapped by someone else like Esri. Windows power users typically install it with something like OSGeo4W [2], whose name I can never remember.

Whenever I need it I spin up a Docker image for convenience. InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

🍂🗺️ The most powerful leaflet plugin for drawing and editing geometry layers A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery “The remote sensing community has spent several decades asking for more data. To say now we have too much data would be really churlish,” Alastair Graham quips on a recent episode of The MapScaping Podcast. “I firmly believe we need more open data, not just from government agencies but also from commercial enterprises.” Alastair, an independent spatial and environmental consultant with more than 20 years of experience in the GIS industry, was pointing to how we should be looking at better management of open geospatial data.

This, he believes, can be achieved by using a more standardized approach to data management and collaborating closely with machine learning and artificial intelligence experts. The following open-source projects could help us get there in the near future, Alastair says. The STAC specification provides a common language to describe a range of geospatial information, so it can more easily be indexed and discovered. A ‘spatiotemporal asset’ is any file that represents information about the earth captured in a certain space and time. The goal is for all providers of spatiotemporal assets (Imagery, SAR, Point Clouds, Data Cubes, Full Motion Video, etc.) to expose their data as SpatioTemporal Asset Catalogs (STAC), so that new code doesn’t need... openEO develops an open API to connect R, Python, JavaScript, and other clients to big Earth observation cloud back-ends in a simple and unified way.

With such an API, each client can work with every back-end, and it becomes possible to compare back-ends in terms of capacity, cost, and results (validation, reproducibility). Raster Vision is an open source framework for deep learning on satellite and aerial imagery. Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery) can leverage Raster Vision’s built-in support for chip classification, object detection, and semantic segmentation using PyTorch...

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Some of the projects hosted by the Open Geospatial Solutions organization are supported by Amazon Web Services (AWS). An open-source JavaScript library for world-class 3D globes and maps :earth_americas: InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminat...

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However, Building Hand-on Projects Can Make It Fun, As It’ll

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You Could Learn Your Way Up By Embarking On The

You could learn your way up by embarking on the projects mentioned here. A platform to convert between several vector and raster GIS data formats. E.g from Esri Shapefile to GeoJSON, GeoJSON to topoJSON, KML to GeoJSON, GeoTiff to ECW, Geotiff to COGs, PNG to GeoTIFF, GEOTIFFs to JPEG, CSV to Esri Shapefile etc. Building a platform like this as a project would greatly improve your development skil...