Change Detection (CD) is the process of recognizing and quantitatively evaluating changes
in surface objects at the exact location but at different times from remote sensing images that …

Today, accelerated growth has led to unprecedented growth in urban areas. Indeed, the
demographic explosion has become a problem for urban planners because it makes it …

Agricultural greenhouses (AGs) are an important component of modern facility agriculture,
and accurately mapping and dynamically monitoring their distribution are necessary for …

Optical satellite data products (eg, Sentinel-2, PlanetScope, Landsat) require proper
validation across diverse ecosystems. This has conventionally been achieved using …

The main goal of this study is to evaluate different models for further improvement of the
accuracy of land use and land cover (LULC) classification on Google Earth Engine using …

Airborne hyperspectral data has high spectral-spatial information. However, how to mine
and use this information effectively is still a great challenge. Recently, a three-dimensional …

Urban environments are considered as complex systems where various dimensions are
overlapping. Partly as a consequence of this stratification, they are facing a multitude of …

Scene classification is an important problem in remote sensing (RS) and has attracted a lot
of research in the past decade. Nowadays, most proposed methods are based on deep …

Land and existing resources in the riparian zone of the river are largely affected by the
changing morphology. An efficient and sustainable disaster management and planning …

Mapping urban areas from space is a complex task involving the definition of what should be
considered as part of an urban agglomerate beyond the built-up features, thus modelling the …