gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. (by OSGeo)
eo-learn
Earth observation processing framework for machine learning in Python (by sentinel-hub)
| gdal | eo-learn | |
|---|---|---|
| 44 | 7 | |
| 4,498 | 1,078 | |
| 1.7% | 0.5% | |
| 10.0 | 8.1 | |
| 5 days ago | 9 days ago | |
| C++ | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gdal
Posts with mentions or reviews of gdal.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-21.
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Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler
TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
- Protomaps – A free and open source map of the world
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Company decided to move away from AutoCAD to something cheaper...
GDAL is the real heart, the python aspect is mostly wrappers around that I'm fairly sure. I love python for the record, the only reason I bring it up, is cause python haters accuse it of being slow, but QGIS drops down to C++ when speed is necessary, like most modern packages do.
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gdal 0.15 is out!
gdal 0.15 (repo, docs), a set of Rust bindings for the GDAL library, used for access to geo-spatial data formats, is now out!
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What's missing from C# in Godot 4?
GDAL (Geospatial Data Abstraction Library) is a the geospatial data processing library. It handles a lot of Raster/Vector analysis and alteration. gdal_contour and gdal_rasterize which would be used to create isolines (contour lines) . There's more complex processing and analyses than that. More common is reprojecting multiple layers, and some that being as Vector files, into different coordiatne systems.
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12 Open Source GIS Software
Access: GDAL
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Not sure if I'm ready to make the jump from Unity yet.
As an example we use GDAL heavily through its C# binds. We do all the additional data processing, that isn't done by the C++ GDAL, in C#. The final results are both Data (held in memory or temp exported to a file), and a normalized Raster Texture that we can display on a TextureRect. Most of the C# data processing scripts aren't even Inheriting from any Godot Class.
- gdal v3.6.3 released
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What data structure should I use for reading data from a .shp file?
I think this would be the best way to handle this. GDAL is what you should look into for this project.
- GDAL v3.6.2 released
eo-learn
Posts with mentions or reviews of eo-learn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-05.
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What are examples of well-organized data science project that I can see on Github?
I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased
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Machine Learning free courses online for earth science - suggestions?
Sentinel Hub's eo-learn
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World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
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Transitioning from NLP to satellite and image based CV
If you are joining a not small company they probably already have this, but an example is https://github.com/sentinel-hub/eo-learn which is specific to a certain set of satellite data products.
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Land Cover Classification of Istanbul, Turkey [4965x 2512]
Yes, `eo-learn` is just a collection of the existing tools you mention, which harmonizes the workflow for a specific task. Feel free to open ticket on eo-learn github if you have any questions! :)
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[OC] Vegetation of Africa 2019
* Python packages [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) and [eo-learn](https://github.com/sentinel-hub/eo-learn)
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[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
Tools: - Python packages sentinelhub-py and eo-learn - GDAL 3.2
What are some alternatives?
When comparing gdal and eo-learn you can also consider the following projects:
geos - Geometry Engine, Open Source
ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
x3-rust - X3 Lossless Audio Compression for Rust
cpython - Alternative StdLib for Nim for Python targets, hijacks Python StdLib for Nim
tilemaker - Make OpenStreetMap vector tiles without the stack
pywsitest - PYthon WebSocket Integration TESTing framework
Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
eemeter - An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
openmaptiles - OpenMapTiles Vector Tile Schema Implementation
styrofoam - (Alpha) Advanced WSGI router for running multiple separate WSGI applications