GIS coaching for territorial management.
Aerial images are a gold mine: old surveys, forest inventories, coastal monitoring, digitized cadastral maps, etc. But they often suffer from a major problem: low resolution. Blurring, pixelation, crushed textures, loss of detail… these are all…
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New plugins, new practices: December illustrates the richness and diversity of the QGIS ecosystem. Between artificial intelligence, business productivity, and external data integration, these extensions open up concrete opportunities for geomatics professionals. December confirms a clear…
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In two previous articles, we explored how to convert standard Sentinel-2 images (10 m resolution) to a super-resolution 1 m version using the S2DR3 module, developed for coral research in Mauritius. This step provides an unprecedented…
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November brings a host of new developments to the QGIS extension ecosystem. Once again, the open source community demonstrates its dynamism with a variety of tools, ranging from basic mapping to advanced spatial analysis workflows, productivity,…
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Deep learning is revolutionizing satellite image analysis. Long reserved for large laboratories or proprietary software, it is now becoming available to the wider world thanks to PyTorch and QGIS. This article explores the principles of Deep…
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Following on from the article “How to increase the resolution of Sentinel 2 images from 10 to 1m” and “Using S2DR3 in Google Colab to study corals in Mauritius,” let’s take a look at how to…
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