Big Earth data are produced from satellite observations, Internet-of-Things, model
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …

Nowadays, floods are occurring frequently around the world, and the Yangtze River Delta in
China is one of the most vulnerable areas. This study used the Yangtze River Delta as the …

Abstract Between 1998 and 2017, 1.3 million people were killed and another 4.4 billion
were left injured, homeless, displaced, or in need of emergency assistance due to climate …

This paper is dedicated to the study of social vulnerability in risk analysis task using multi-
source data statistics. Formal KPCA-algorithm for quantitative analysis of social factors of …

Abstract Approach to population data disaggregation in tasks of risk assessment is
presented in this paper. The approach is based on analysis of land cover distribution …

A method for determining landslide-prone areas based on remote sensing data and
meteorological data is proposed for the Ukrainian territory. It was tested within different …

The problem of uncertainty analysis in multi-component systems is considered. As an
example a problem of decision making under uncertainty in task of modeling of carbon …

The problem of satellite data utilization in multi-modeling approach for socio-ecological risks
assessment is formally defined. Methodology of natural geo-systems modeling for variables …

Implementation of quantitative assessments of hazardous phenomena using remote-
sensing data is wide-spread practice and important task, taking into account the increasing …

This chapter aimed to consider of approaches to big data (social network content) utilization
for understanding social behavior in the conflict zones, and analysis of dynamics of illegal …