The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

In recent years, the pan-Arctic region has experienced increasingly extreme fire seasons.
Fires in the northern high latitudes are driven by current and future climate change, lightning …

Over the last several decades, thanks to improvements in and the diversification of open-
access satellite imagery, land cover map** techniques have evolved significantly. Notable …

Abstract Machine learning and deep learning algorithms are extensively used in the fields of
remote sensing image analysis. In this study, the major concepts pertinent to Sentinel-2 …

A precise distribution map of wetlands can provide basic data of wetland conservation and
management for Ramsar parties in each region. In this study, based on the Google Earth …

Invasive rodents have a detrimental impact on terrestrial ecosystem functioning, this is often
exacerbated on small islands. Rat eradication campaigns are often used to deal with this …

In the era of rapid advancements in artificial intelligence, the geospatial field is experiencing
transformative changes. Traditional methods for land cover classification and anomaly …

The land uses and covers of Europe are the most systematically mapped in the world today,
and their associated datasets offer the greatest spatial and thematic detail. Thanks to the …

The continuous recording of images of the Earth's surface through Earth observation
satellites has enabled the study of large-scale dynamical process, such as urbanization …

In today's fast-paced technological landscape, artificial intelligence (AI) is revolutionizing
industries, with geospatial analysis standing at the forefront of this transformation. The …