Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI,
particularly machine learning algorithms, range from initial image processing to high-level …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …

Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

Undoubtedly, the age of big data has opened new options for natural disaster management,
primarily because of the varied possibilities it provides in visualizing, analyzing, and …

Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Scene classification of high spatial resolution (HSR) images can provide data support for
many practical applications, such as land planning and utilization, and it has been a crucial …

Social media platforms are playing increasingly critical roles in disaster response and
rescue operations. During emergencies, users can post rescue requests along with their …

Citizen science is proliferating in the water sciences with increasing public involvement in
monitoring water resources, climate variables, water quality, and in mapping and modeling …