-
SpaceNet-4
The use of machine learning for remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land... -
SpaceNet-2
The use of machine learning for remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land... -
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Geospatial datasets are diverse, naturally spatiotemporal, and inherently multimodal (composed of two or more distinct signal types or modalities) e.g., satellite/aerial imagery... -
Wildfire Incidence Rates
A dataset of wildfire incidence rates within the continental United States. -
T-Drive Trajectory Data Sample
T-Drive trajectory data sample. https://www.microsoft.com/en-us/research/publication/t-drive-trajectory-data-sample/, 2011. -
CRM and HCRM
CRM and HCRM are computed in diverse geographical areas from probe data [9]. -
Probe Data
Probe data is similar to GPS trajectories found in publicly available datasets such as [7, 8]. More details of this proprietary and privacy-preserving dataset can be found in...
