Abstract:
Large areas of informal settlements on the slopes of Medellín are exposed to landslide risk, but there exists no accurate and up-to date data set on the location and size...Show MoreMetadata
Abstract:
Large areas of informal settlements on the slopes of Medellín are exposed to landslide risk, but there exists no accurate and up-to date data set on the location and size of informal areas. It is thus difficult to develop mitigation strategies to reduce the risk for the local population. Here, we tackle the issue of inaccurate geodata and apply a CNN for the extraction of individual building footprints from orthophotos. With it we achieve a more reliable data base for a more precise estimation of the amount of exposed population in informal areas towards landslides.
Published in: 2023 Joint Urban Remote Sensing Event (JURSE)
Date of Conference: 17-19 May 2023
Date Added to IEEE Xplore: 08 June 2023
ISBN Information: