Impervious surfaces identified by artificial intelligence in Helsinki Metropolitan Area
Land cover mapping of impervious surfaces in Helsinki Metropolitan Area using AI. The pixel values represent the probability that the pixel is impervious, and they range between 0 and 254. Pixel values above 127 can be considered impervious. The spatial resolution is 20 cm and coordinate system is ETRS-TM35. Pixel classification is based on orthophotos and point clouds from National Land Survey of Finland (2020). The convolutional neural network used in production was developed by Scalgo ApS.

Short documentation (Mapping imperviousness for Greater Helsinki Region).
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Additional information
Published:
03.03.2022
Updated:
03.03.2022
Categories:
Maps
Environment and nature
Keywords:
land cover
impervious surface
asphalt
concrete
pavement
artificial intelligence
AI
neural network
ortophotographs
License
Creative Commons Attribution 4.0