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Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...

The field of remote sensing change detection (RSCD) has witnessed remarkable progress. Most existing RSCD methods currently follow the encoder-feature interaction-decoder architecture. However, these methods often treat ...

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 ...

Abstract This study investigated how Extracelluar Polymetric Substances (EPS) produced by microorganisms influenced particle deposition to a sediment bed. The particle deposition decreased with increasing EPS, because th...

Abstract Wave‐particle interactions are essential for energy transport in the magnetosphere. In this study, we investigated an event during which electrons interact simultaneously with waves in different scales, using ...

Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...

Abstract Satellite radiometers like MODIS use a bi‐spectral retrieval algorithm to simultaneously retrieve cloud optical thickness and cloud effective radius re. However, retrievals fail for liquid clouds when the re o...

Abstract Evapotranspiration (ET) is a critical process influencing energy, water, and carbon cycles. Numerous methods have been developed to estimate ET accurately and robustly across diverse scales. Many of these method...

Abstract Observation‐based simulations of the ionosphere were performed with the NRLMSISE‐00 model for six locations around the globe during 1–9 February 2022, which includes the so‐called Starlink Storm. Unlike ...

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 uses multiple ground and satellite‐based measurements to investigate the extreme ionospheric response to the Mother's Day storm on May 10–11, 2024. Prompt penetration electric field caused a signi...

Abstract Green infrastructure‐based heat mitigation strategies can help alleviate the overheating burden on urban residents. While the cooling effect of parks has been explored in individual satellite‐based studies, ...

The identification of exoplanets within habitable zones remains a central objective in modern astrophysics, particularly with the availability of large-scale photometric datasets from space-based missions such as the Tra...

Abstract This study employs CYGNSS data to explore the life cycle of atmospheric rivers (ARs) on a near global scale, focusing on ocean surface turbulent heat flux variations. Using spaceborne measurements matched to dif...

Abstract Magnetic nulls are traditionally suggested as main points where energy dissipation occurs during reconnection. Such nulls have been widely observed in the diffusion region of standard reconnection following a tw...

The plasmasphere contains rich small-scale structure that plays a key role in regulating wave propagation and mass transport in the inner magnetosphere, yet the evolution of plasmaspheric density ducts remains poorly und...

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...

Abstract This study investigates the impact of the lower‐thermospheric winter‐to‐summer circulation on the thermosphere's thermal structure and meridional circulation. Using NCAR TIE‐GCM, we compare simulations w...

Convolutional neural networks (CNNs) and visual Transformers have become the dominant approaches for hyperspectral image (HSI) classification due to their powerful feature representation capabilities. However, CNNs are l...

Abstract Using an idealized model of the Atlantic meridional overturning circulation (AMOC), we test whether changes in the statistical properties of an AMOC time series can reveal Critical Slowing Down (CSD) and serve a...