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 …

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 …

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

Accurate land use land cover (LULC) classification is vital for the sustainable management
of natural resources and to learn how the landscape is changing due to climate. For …

Accurate information about the location, extent, and type of Land Cover (LC) is essential for
various applications. The only recent available country-wide LC map of Iran was generated …

Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …

Accurate quantification of terrestrial evapotranspiration (ET) is essential to understand the
Earth's energy and water budgets under climate change. However, despite water and …

Abstract Google Earth Engine is a cloud-based platform for planetary-scale geospatial
analysis that brings Google's massive computational capabilities to bear on a variety of high …

Timely and accurate delineation of global urban land is fundamental to the understanding of
global environmental changes. However, most of the contemporary global urban land maps …

Land cover in Bei**g experienced a dramatic change due to intensive human activities,
such as urbanization and afforestation. However, the spatial patterns of the dynamics are …