Results 111 to 120 of about 382 (174)
Diurnal Temperature Variability at Latitudinally Distinct Sites on the Moon
Abstract The thermophysical environment of the Moon plays a crucial role for future exploration, resource utilization and also in understanding its geological evolution. While global‐scale surface temperature distributions have been reasonably well constrained through numerical modeling and orbiter observations, recent in situ measurements have ...
G. Ambily +2 more
wiley +1 more source
The normalized difference vegetation index (NDVI) of the Zat valley, Marrakech: comparison and dynamics. [PDF]
Essaadia A +4 more
europepmc +1 more source
Formation of Continuum Emission Structures Associated With the Aurora
Abstract Recent observations enabled by improvements in geospace remote‐sensing instrumentation have revealed the spatial structure of continuum emissions that appear to be associated with the aurora, but little is known about the formation and drivers of these structures.
J. Houghton +3 more
wiley +1 more source
Abstract Hurricanes drive diverse estuarine phytoplankton responses and can trigger cascading ecological and physicochemical impacts. Capturing these short‐term dynamics requires high spatiotemporal resolution. Here, we applied a globally‐applicable coastal ocean color algorithm, Variational Autoencoder (VAE), to Sentinel‐2 MSI imagery for chlorophyll ...
J. Li +9 more
wiley +1 more source
Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses. [PDF]
Das Swain V +8 more
europepmc +1 more source
Monitoring Flood Inundation Dynamics From Space
Abstract With the increasing intensity and frequency of flood events worldwide, the need for accurate and timely inundation mapping has never been more critical. Large‐scale flood extent estimations are vital for coordinating effective disaster response, facilitating recovery, and building future resilience.
C. Campo +5 more
wiley +1 more source
A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]
Pfreundschuh S +19 more
europepmc +1 more source
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha +5 more
wiley +1 more source
Bridging Gaps in Aquatic Remote Sensing Reflectance Validation: Pixel Boundary Effect and Its Induced Errors. [PDF]
Xiao S +7 more
europepmc +1 more source
This essay examines the spectres haunting ideas of egalitarianism among Tashelhiyt‐speaking communities in the Moroccan High Atlas: first, the tyrant, an obvious frontal threat to ideas of equality; and then the vastly more complex figure of the thief (amkhar).
Matthew Carey
wiley +1 more source

