{"id":162,"date":"2021-05-17T14:23:32","date_gmt":"2021-05-17T12:23:32","guid":{"rendered":"https:\/\/kermap.fauchet-ludovic.fr\/urban-planning\/"},"modified":"2021-11-24T16:53:26","modified_gmt":"2021-11-24T15:53:26","slug":"urban-planning","status":"publish","type":"page","link":"https:\/\/kermap.com\/en\/services\/urban-planning\/","title":{"rendered":"Urban planning"},"content":{"rendered":"\n

We provide diagnosis and decision support tools for sustainable cities through land-use, vegetation and climate mapping. Our cartographic products are enhanced by geospatial analysis and predictive models for urban development professionals. <\/p>\n\n\n\n

The rely on satellite imagery and aerial photographs, processed through expert photo-interpretation and innovative, time and cost-effective AI techniques developed in-house by Kermap. <\/p>\n\n\n\n

Land-use monitoring<\/h2>\n\n\n\n

Key indicators for sustainable urban planning are efficiently retrieved from satellite data and aerial photographs. This work is conducted by our photo-interpretation experts, and relies on complex nomenclatures describing land occupation. The resulting data is used to conduct high-detail land-use mapping and elaborate predictive models.<\/p>\n\n\n\n

Besides its geospatial expertise, Kermap also specializes in the development of innovative spatial monitoring and planning tools. One such example of this savoir-faire is the datavisualization work recently conducted for the GeoGrandEst land-use platform<\/a>.<\/p>\n\n\n\n

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Land use datavisualization for the Geo Grand Est platform (2021)<\/figcaption><\/figure>\n\n\n\n

Local authorities and urban development professionnals can thus count on efficient GIS services to assist them in their transition towards a sustainable city. Solutions at once user-friendly and powerful to help communities tackle various problematics such as land take and soil sealing, urban climate or city greening. (more on our environmental services<\/a>)<\/p>\n\n\n\n

Urban vegetation<\/h2>\n\n\n\n

We have designed innovative, time-effective AI techniques to achieve high-precision vegetation mapping<\/strong> in urban areas or rural environments. These deep-learning processes enable us to identify grass, shrub and tree presence in both public and private lots with unprecented precision (1:2000). This was the approach we used four “Nos Villes Vertes”<\/a> platform, which quantifies and compares tree presence in each of France’s 36,000 towns and cities.<\/p>\n\n\n\n

Using this high-precision data on tree and grass cover, Kermap complements is urban planning offering with expert services :<\/p>\n\n\n\n