Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …

Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …

This study evaluates the performance of convolutional neural networks for semantic
segmentation of water bodies in very high-resolution satellite and aerial images from …

Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …

Emergency response to floods requires timely information on water extents, which can be
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …

Abstract Small (< 25 kg) aerial drones have expanded the remote sensing toolkit for disaster
management activities. Here, we provide a critical review of drone-based remote sensing of …

Cloud and cloud shadow segmentation is a crucial pre-processing step for any application
that uses multi-spectral satellite images. In particular, disaster related applications (eg, flood …

Remotely sensed data can provide the basis for timely and efficient building damage maps
that are of fundamental importance to support the response activities following disaster …

Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …

Self-supervised learning aims to learn image feature representations without the usage of
manually annotated labels. It is often used as a precursor step to obtain useful initial network …