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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...

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...

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...

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 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. ...

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...

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...

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...

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...

Hydrological models commonly use very simple snow accumulation and melt models based on air temperature information, namely, a temperature threshold for snow accumulation as well as for snowmelt, and a melt factor. This ...

Nitrogen dioxide (NO2) is a critical air pollutant with significant environmental and human health impacts, yet global and long-term NO2 datasets with daily continuity and fine spatial resolution remain limited. In this ...

Abstract Sinking macroalgal biomass carbon to the deep seafloor has been proposed as a means of removing atmospheric carbon dioxide, but the persistence of this carbon and its ecological impacts remain poorly constrained...

Land surface and crop models both simulate irrigation, but they differ in their approaches, primarily because they were originally developed for distinct purposes and scales. Through an example case study in a highly irr...

Abstract The upwelling of warm Circumpolar Deep Water is a key process in the global climate system, transporting heat, nutrients, and carbon poleward towards Antarctic ice shelves. Here we use physical and chemical seaw...

Abstract The electrical structure of oceanic lithosphere and underlying asthenosphere provides crucial constraints on upper mantle dynamics, complementing seismic observations to distinguish between competing mechanisms ...

Multimodal remote sensing image registration is a fundamental step for multisource data fusion and geospatial analysis. However, nonlinear radiometric, textural, and geometric discrepancies across modalities challenge in...

Sea-ice motion plays a pivotal role in the variability of the Antarctic climate system by modulating the atmosphere&#x2013;ocean fluxes and the ocean freshwater budget. Due to the variability of the ice surface, snow&#x2...

Wildfires are natural hazards that threaten ecosystems, communities, and economies, and they have shown a significant increase in frequency and intensity in recent years. Accurate wildfire spread prediction is critical f...