Results 111 to 120 of about 23,028 (236)

The 2025 Mw 8.8 Kamchatka Megathrust: A Rapid Recurrence With Complex Heterogeneous Rupture

open access: yesGeophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract On 29 July 2025, a Mw 8.8 earthquake struck Kamchatka, ∼50 km from the 1952 Mw 9.0 megathrust hypocenter, exhibiting a comparable aftershock zone. We resolve the kinematic rupture process and slip distribution by combining teleseismic waveforms with high‐quality tsunami data.
Junpeng Li, Zhe Jia
wiley   +1 more source

Stripe segmentation of oceanic internal waves in SAR images based on SegFormer

open access: yesFrontiers in Marine Science
The study of oceanic internal waves remains a critical area of research within oceanography. With the rapid advancements in oceanic remote sensing and deep learning, it is now possible to extract valuable insights from vast datasets.
Hong-Sheng Zhang   +5 more
doaj   +1 more source

Seasat data utilization project [PDF]

open access: yes
During the three months of orbital operations, the satellite returned data from the world's oceans. Dozens of tropical storms, hurricanes and typhoons were observed, and two planned major intensive surface truth experiments were conducted. The utility of
Born, G. H.   +6 more
core   +1 more source

Flood Risk Management Using Representative Hillslopes: Insights From a Historical Flood in Southwest Germany

open access: yesHydrological Processes, Volume 40, Issue 5, May 2026.
A coupled hydrologic and hydraulic modelling framework relying on representative hillslope models and scaled using hydraulic routing schemes is proposed to simulate Hortonian overland flow at intermediate scales. Using a reconstructed historic summer storm in southwest Germany (1994), we show how hillslope scale nature‐based flood prevention measures ...
Ashish Manoj J.   +4 more
wiley   +1 more source

A potential technique for SAR ocean surface current speed retrieval based on machine learning

open access: yesEuropean Journal of Remote Sensing
The purpose of this study was to develop a machine learning-based algorithm for azimuthal ocean surface current retrieval from Sentinel-1 (S-1) synthetic aperture radar (SAR) images.
Wei-Zeng Shao   +3 more
doaj   +1 more source

Stemflows and Preferential Flows: A Historical Review and Challenges for the Future

open access: yesHydrological Processes, Volume 40, Issue 5, May 2026.
Possible implementation of stemflow in the MIPS model where all water in the system is represented as particles in pathways of specified velocity. Stemflow (green particles) can be treated as a localised input with probabilities of entering higher velocity pathways than throughfall, depending on the input rates.
Keith Beven, John T. Van Stan
wiley   +1 more source

Coastal CUBEnet: an integrated observation and modeling system for sustainable Northern Gulf of Mexico coastal areas

open access: yesFrontiers in Marine Science
The University of Southern Mississippi has developed the coastal CUBEnet environment. Coastal CUBEnet is a high-resolution, coastal ocean sensor, modeling, and data sharing web-based network that provides the environmental intelligence needed to support ...
Steve Stanic   +6 more
doaj   +1 more source

Literature review of the remote sensing of natural resources [PDF]

open access: yes
s of 596 documents related to remote sensors or the remote sensing of natural resources by satellite, aircraft, or ground-based stations are presented.
Fears, C. B., Inglis, M. H.
core   +1 more source

Seasonal Variability of Precipitating Systems in Four Radar Domains of Northeast Brazil

open access: yesInternational Journal of Climatology, Volume 46, Issue 6, May 2026.
This study analyzes the climatology and evaluates how the physical aspects of precipitating systems are influenced by the dry and wet seasons in Northeast Brazil, highlighting seasonal variations in the frequency, size, intensity, and duration of these systems in the regions of Natal, Maceió, Petrolina, and Salvador.
Amanda Carolina da Silva Queiroz   +1 more
wiley   +1 more source

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