Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Research shows that the association between adverse climate conditions and human
migration is heterogeneous. One reason for this heterogeneity is the differential vulnerability …

Interdisciplinary use of geospatial data requires the integration of data from a breadth of
sources, and frequently involves the harmonization of different methods of sampling …

Studies investigating migration as a response to climate variability have largely focused on
rural locations to the exclusion of urban areas. This lack of urban focus is unfortunate given …

Research often assumes that, in rural areas of develo** countries, adverse climatic
conditions increase (climate driver mechanism) rather than reduce (climate inhibitor …

In many countries, the increasing population drives the spatiotemporal land use and land
cover change (LULCC) at a higher rate, causing heterogeneous landscape. Hence, the …

Adverse climatic conditions may differentially drive human migration patterns between rural
and urban areas, with implications for changes in population composition and density …

Although evidence is increasing that climate shocks influence human migration, it is unclear
exactly when people migrate after a climate shock. A climate shock might be followed by an …

Increasing rates of climate migration may be of economic and national concern to sending
and destination countries. It has been argued that social networks—the ties connecting an …

This study investigates the influence of climate variables (pressure, relative humidity,
temperature and wind speed) in inducing risk due to COVID 19 at rural, urban and total …