Scalgo Land Cover map now in France! 🏡🌳 France is next in our steady roll-out of nationwide land cover maps. To create these maps we use Artificial intelligence (AI). "Our AI model is very powerful because it keeps learning and getting better every time we apply it," Jonas Tranberg, data scientist at Scalgo, says. "And the initial results we got for France, using a model trained on the Nordic countries and Germany, were already very accurate. The new thing we trained the model to identify is dry vegetation, since vegetation in the south of France dries out in summer to a degree that is uncommon in northern Europe." The AI model creates four land cover classes: impervious areas, bare soil (i.e., sand and gravel), shallow vegetation and dense vegetation. This output is combined with auxiliary data from the IGN (Institut national de l'information géographique et forestière). There are two land cover groups in the map, the natural and the artificial. 6 natural land cover classes: 🌱 Shallow vegetation 🌲 Dense vegetation 🌾 Field 🏜 Bare land 🪨 Bare rock 💧 Water 5 artificial land cover classes: 🛣 Paved road 🧱 Paved areas ⏳ Unpaved road 🏠 Buildings 🛤 Railway Read more about land cover mapping in the blog: https://lnkd.in/dC9xzwDC
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