Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …

Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …

The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …

Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key
geophysical tool for surface deformation studies. The European Commission's Sentinel-1 …

Cloud‐based computing, access to big geospatial data, and virtualization, whereby users
are freed from computational hardware and data management logistics, could revolutionize …

The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …

This article aims to investigate how circuit-based hybrid quantum convolutional neural
networks (QCNNs) can be successfully employed as image classifiers in the context of …

A systematic review and inventory of recent research relating to optical remote sensing of
Arctic vegetation was conducted, and thematic and geographical trends were summarized …