Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roderik C. Lindenbergh"'
Publikováno v:
Sensors, Vol 22, Iss 6, p 2311 (2022)
In recent years, our knowledge of coastal environments has been enriched by remotely sensed data. In this research, we co-analyse two sensor systems: Terrestrial Laser Scanning (TLS) and satellite-based Synthetic Aperture Radar (SAR). To successfully
Externí odkaz:
https://doaj.org/article/cc1ddfc4bbf140c2af583bfed681533e
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 859 (2021)
Classification of aerial point clouds with high accuracy is significant for many geographical applications, but not trivial as the data are massive and unstructured. In recent years, deep learning for 3D point cloud classification has been actively d
Externí odkaz:
https://doaj.org/article/ea038016124e4059bf49bdb780bc3690
Publikováno v:
Sensors, Vol 20, Iss 5, p 1425 (2020)
Nowcasting and early warning systems for landslide hazards have been implemented mostly at the slope or catchment scale. These systems are often difficult to implement at regional scale or in remote areas. Machine Learning and satellite remote sensin
Externí odkaz:
https://doaj.org/article/5dff173054ab4fe1a47dab4109b6ab93
Publikováno v:
Polar Research, Vol 36, Iss 1 (2017)
Snow avalanches pose a threat to people and infrastructure in and around Svalbard’s main settlement Longyearbyen. Since January 2016, publically available regional avalanche warnings are issued daily for Nordenskiöld Land, the area around Longyear
Externí odkaz:
https://doaj.org/article/f030a590a43842b6802f4a192b749f09
In the past years, our knowledge of coastal environments has been enriched by remotely sensed data. However, to successfully extract information from a combination of different sensors systems, it should be understood how these interact with the comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bcd58d3f70ddaf544b1b90d8c50f0be
Publikováno v:
EGUsphere
eISSN
eISSN
Landslides are one of the major weather related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope processes is required. Landslide modelling is typically based on data-rich geomechanic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f5b8868904105e641cc3bba8367f29c