Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …

Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Map** …

The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …

Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …

Earth system science has changed rapidly due to global environmental changes and the
advent of Earth observation technology. Therefore, new tools are required to monitor …