Prof Chunbo Luo
1. VISUALWIND: A NOVEL VIDEO DATASET FOR CAMERAS TO SENSE THE WIND
VisualWind is a novel video dataset including: 6000 labeled video clips, covering eleven wind classes of the Beaufort scale. The videos are collected from social media, public cameras, and self-recording. Every video clip has a ﬁxed 10-second length with varied frame rates, and contains scenes of various trees swaying in different scales of wind.
Data access: email to firstname.lastname@example.org for the link and code.
Paper to cite: Qin Zhang, Jialang Xu, Matthew Crane, Chunbo Luo, See the wind: Wind scale estimation with optical flow and VisualWind dataset, Science of The Total Environment, Volume 846, 2022, 157204.
2. SWED: Sentinel-2 Water Edges Dataset
We present the Sentinel-2 Water Edges Dataset (SWED), a new and bespoke labelled image dataset for the development and bench-marking of techniques for the automated extraction of coastline morphology data from Sentinel-2 images. Composed of 16 labelled training Sentinel-2 scenes, and 98 test label-image pairs, SWED is globally distributed and contains examples of many different coastline types and natural and anthropogenic coastline features.
Dataset access: The Sentinel-2 Water Edges Dataset can be obtained by visiting openmldata.ukho.gov.uk and used under the Geospatial Commission Data Exploration license.
Paper to cite: Seale C, Redfern T, Chatfield P, Luo C, Dempsey K. (2022) Coastline detection in satellite imagery: A deep learning approach on new benchmark data, Remote Sensing of Environment, volume 278, article no. 113044, DOI:10.1016/j.rse.2022.113044. [PDF]
3. UAV Visual image of disasters
To be published soon.