The emergence of crowdsourced geographic information (CGI) has markedly accelerated
the evolution of land-use and land-cover (LULC) mapping. This approach taps into the …

Large vision and language assistants have enabled new capabilities for interpreting natural
images. These approaches have recently been adapted to earth observation data, but they …

The significant increase in the amount of satellite data in recent years along with the
increase in computing resources has opened up new possibilities for Earth Observation …

Biodiversity regulates agroecosystem processes, ensuring stability. Preserving and restoring
biodiversity is vital for sustainable agricultural production. Species identification and …

Detecting changes in buildings over time is an important issue in monitoring urban areas,
landscape changes, assessing natural disaster risks or updating geospatial databases …

The design of regional plans is a difficult task combining political, economic, sociological
and technological aspects. From decades, computers have been used for this task: at the …

This study aims to provide a comprehensive bibliometric analysis covering the common
areas between artificial intelligence (AI) applications and research focused on local or …

The task of change detection (CD) in optical and SAR images is an ever-evolving and
demanding subject within the realm of remote sensing (RS). It holds great significance to …

Hyperspectral image (HSI) change detection focuses on identifying differences in
multitemporal HSIs. Graph convolutional networks (GCNs) have demonstrated greater …

This paper presents a method to invert the sea surface wind field from Sentinel‐1 synthetic
aperture radar (SAR) interferometric wide swath (IW) band mode ground range detected …