Satellite image classification has a vital role for the extraction and analysis of the useful
satellite image information. This paper comprises the study of the satellite images …

Deep learning (DL) has shown outstanding performances in many fields, including remote
sensing (RS). DL is turning into an essential tool for the RS research community. Recently …

Earthquakes cause massive loss of property and lives, and mitigating their potential effects
requires accurate modeling and simulation of their impacts. Earthquake building damage …

Movement of earth material, soil, debris, and mud towards downhill is referred as landslide,
and this phenomenon occurs due to gravity. It has a very intensive impact on human life …

Fine-scale population estimation is essential in emergency response and epidemiological
applications as well as urban planning and management. However, representing …

This study demonstrates the use of bootstrap methods to estimate the total population of
urban and periurban areas using satellite imagery and limited survey data. We conducted …

Extracting building footprints from high resolution satellite (HRS) imagery has been an
extremely important topic of research in the field of remote sensing. The problem of …

Land use (LU) information is of significant value for various urban studies and is needed for
a wide variety of decision-making initiatives in the range of global, regional and urban areas …

In recent years, high-resolution satellite (HRS) images have become an important source of
data for extracting geo-spatial information. A deep understanding of human cognitive …

Satellite imagery offers extensive information that can be used for a variety of societal
applications, from the number of buildings in a metropolis to the land cover types of a …