Deep learning-based algorithms have seen a massive popularity in different areas of remote
sensing image analysis over the past decade. Recently, transformer-based architectures …

The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

Timely and accurate change detection of Earth's surface features is extremely important for
understanding relationships and interactions between human and natural phenomena in …

Due to the unprecedented technology development of sensors, platforms and algorithms for
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …

For the evaluation of results from remote sensing and high-resolution spatial models it is
often necessary to assess the similarity of sets of maps. This paper describes a method to …

Comparing maps is an important issue in environmental research. There are many reasons
to compare maps:(i) to detect temporal/spatial changes or hot-spots,(ii) to compare different …

We used three Landsat images together with socio‐economic data in a post‐classification
analysis to map the spatial dynamics of land use/cover changes and identify the …

Urbanization process is a major factor of change in the Mediterranean region where pre-
urban cities and new urban settlements have raised over the past decades. Several cities …

The hydrology and geomorphology of most rivers has been fundamentally altered through a
long history of human interventions including modification of river channels, floodplains, and …

Four distinctly different classifiers were used to analyze multi-spectral data. Which of these
classifiers is most suitable for a specific study area is not always clear. This paper provides a …