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This article presents an innovative technique for remote sensing-based mapping and predicting land degradation in the European frontier regions. The mapping is carried out by geospatial data fusion of relevant biophysica...

Abstract Numerous studies have explored modeling the shape of Earth's magnetopause (MP) and bow shock (BS) as a function of incident solar wind conditions, utilizing either magnetohydrodynamic model data or observations ...

Terrestrial evaporation ($E$) plays a crucial role in the water, energy, and carbon cycles and modulates climate change through multiple feedback mechanisms. While process-based models estimate $E$ using satellite-derive...

Small near-Earth asteroids (NEAs), diameters < 150 m, represent the most numerous yet one of the least well-understood populations among near-Earth objects, despite their potential hazard. Their rapid fading after discov...

This review addresses the urgent need for scalable, accurate, and reproducible remote sensing solutions following the February 2023 T&#x00FC;rkiye earthquakes. It synthesizes the contributions of five peer-reviewed studi...

Cities of the future will have to overcome congestion, air pollution and increasing infrastructure cost while moving more people and goods smoothly, efficiently and in an eco-friendly manner. Urban air mobility (UAM) is ...

The dipole-dominated magnetic fields of Jupiter and Saturn provide evidence for active dynamos operating within their deep interiors, yet the depth of the convecting dynamo layers remains poorly constrained. While magnet...

Context. Co-orbital objects, also known as Trojans, are celestial bodies that share a 1:1 mean motion resonance orbit with a planet. Many planets in our Solar System hold Trojans, yet none has been confirmed in exoplanet...

Abstract Prior observational uncertainties have hindered the clear understanding of the link between tropospheric Lamb waves and ionospheric disturbances. In this study, we precisely extracted ionospheric Lamb waves orig...

To fully exploit the advantages of GNSS-R small satellites (large quantity, short revisit cycle) and address key challenges of multisource GNSS-R data&#x2014;track-wise distribution, uneven spatial coverage, and observat...

Abstract The high latitudes cover ∼20% of Earth's land surface. This region is facing many shifts in thermal, moisture and vegetation properties, driven by climate warming. Here we leverage remote sensing and climate r...

Abstract This study presents a geodetically derived seismicity-rate model for Kalimantan, Indonesia—a tectonically stable yet geologically diverse region with limited earthquake and fault data. Horizontal GNSS (Global ...

Long-term monitoring of coastal aquaculture ponds (APs) is essential for sustainable food production and environmental management. Intensive aquaculture has reshaped coastal landscapes and threatened ecosystem services. ...

he Karakoram mountain range harbors the greatest concentration of glaciers and permanent snowfields outside the polar regions, making seasonal snowmelt the cornerstone of freshwater availability for the Indus River syste...

Low-Earth-orbit (LEO) satellites are regarded as a key enabler for 6G communications and localization, due to their large coverage beyond conventional terrestrial networks. In this paper, we propose a downlink LEO base s...

Interplanetary coronal mass ejections (ICMEs) are the manifestation of solar transient eruptions, which can significantly modify the plasma and magnetic conditions in the heliosphere. They are often preceded by a shock, ...

Artificial intelligence (AI) models developed for Global Navigation Satellite System Reflectometry (GNSS-R) observations have demonstrated competitive performance in estimating geophysical parameters, especially ocean su...

The Andes Cordillera contains the most diverse cryosphere on Earth, including extensive areas covered by seasonal snow, numerous tropical and extratropical glaciers, and many mountain permafrost landforms. Here, we revie...

Abstract While the ultra‐low velocity zones (ULVZs) may hold key information about deep Earth dynamics, their elusive state and origin remain enigmatic. Recent high‐pressure experiments suggest that ULVZs may origina...

Indonesia is highly vulnerable to earthquakes that can trigger soil liquefaction, particularly in coastal regions where saturated sandy soils with low relative densities are prevalent. This study investigated the influen...

SIRGAS, Sistema de Referencia Geocéntrico para las Américas, nació como un proyecto colaborativo de diferentes países latinoamericanos, con el objetivo de establecer un único sistema de referencia con los mayores es...

Due to error sources arising from undersampling of target signals and imperfections in background models, the single-pair satellite gravity missions equipped with the low-low satellite-to-satellite tracking technology ar...

The NASA-ISRO Synthetic Aperture Radar (NISAR) mission will advance global soil moisture monitoring through high-resolution L-band observations. However, accurate fine-scale retrieval remains challenging due to the 12-da...

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface&#x2013;subsur...